#users-helping-users
1 messages · Page 35 of 1
So one day I can use brave, chrome, curl and other command line tools. 2 or 3 updates later and now my agent is not very helpful. I.e
That’s useful context, but I still can’t drive Brave/Chromium or see what they see. I only get shell/file tools on this box, and those are currently erroring when I try to run curl or similar.
anyone else get Error 401 on discord - I reset the key - been using my max plan - looks like it finally got cut off... wont accept new key says invalid key - only accepts if I add API key with tokens - not the max plan user access key created with powershell
Neither. As far as I can tell, AgentMail API keys are all powerful. Even if you whitelist receipients for the inbox, the agent could just use the API key to create a whole new inbox with no restrictions! So OpenClaw runs behind mitmproxy and I inject the credentials at the edge, as well as restrict what domains and paths it can talk to. I also deleted most of the content of the provided skill and just left in how to send/receive. More here: https://wsmoak.net/2026/03/08/agentmail-openclaw.html
Thank you! Will take a look
Hm, unfortunately I don’t have enough clarity from what you told me, so I don’t know exactly what your initial back-and-forth with your agent looked like, but it might have stayed too high level.
I assume your agent is on your main machine/desktop, so I’d say the first steps would probably be to make sure it actually understands the environment first: what machines are there, what’s running on them, whether it can access any of it, what data it can actually see, and what exact problem you want it to solve.
Then from there, go slow, step by step and define the first small useful version instead of jumping straight to the final idea. Otherwise it’s easy to go from “this would be cool” to “can you build that?” without enough concrete structure for the agent to really go deep and build something solid.
What I’d add is that iterative co-design and pair programming matter a lot here: the more clearly and consistently you work hand in hand with the agent, the better the results usually get.
Does anybody know how to fix this? My agent says stuff like "You're absolutely right. Let me actually continue the testing now. Completing the remaining scans:" and then nothing comes
Sounds like it might be in messaging mode? Check if it has tools
Access and permissions. Use #1459642797895319552 if you need help with configuring it
How can I disable so it doesnt show reasoning in message? (Discord)
/reasoning off
Hi guys
So I was having fun with openclaw for a couple weeks and it started giving me a token mismatch
Now everything works but the web ui keeps saying disconnected 1006 no reason
Hi
For users with tandem mac setups (Mac for main machine, and Mac for Open Claw), is there a way to automatically allow the Open Claw client to accept screen sharing (native Mac app) from the main device?
My main icloud is not linked or connected to OpenClaws iCloud.
I every so often lose connection after some time, and have to get to the OC Mac Mini to reallow myself access from my main machine.
Which is the best api setup for open claw?
Does anyone know how to configure per-workspace hooks so that OpenClaw doesnt modify any files outside of that workspace?
By hooks I mean something like this https://www.reddit.com/r/ClaudeCode/s/BMZn8fSC7y
🖼️ Gallery: 2 Images
Comment by u/cyber_box:
This is a good example of why I run a guard hook on every Claude Code session. It's a Python script that intercepts tool calls before they execute and blocks specific patterns: no force pushes, no writing to .env files, no writing outside $HOME, no reading secrets.
For your case, the missing pi...
just finished my cursor -> acp bridge -> openclaw -> discord bot
if it interests someone i can push on git whole process
Hey everyone. I'm curious if there's a way to interactively trace what the agent did under the hood for a specific message.
I know it's technically possible by digging into ~/.openclaw/agents/{agent}/sessions/{session_id}.jsonl, but that feels like a pretty cumbersome way to understand things like which tools the agent called and in what sequence.
It would be great if this kind of trace were available directly in the UI, making it easier to inspect and debug agent behavior.
How are you usually handling this?
is mitmproxy part of openclaw install or does that need to be installed and configured as well?
how can i use multiply telegram chats with openclaw?
hey, I have a $200 ChatGPT pro subscription but everytime I sign in with the OAUth option I simply get redirected to the list with all models from all provides. even when I select openai/gpt-5.4 my api balance still gets usesd.
Does anyone know how to fix this?
I think something is wrong with my configs. My Agent on discord uses 😨 and takes alot more time than before for the same tasks. Does anybody know why?
what is the best way to monitor what my openclaw agent is doing and how much money it is spending?
After "exec" update, can anyone figure out how to give their main discord bot access to the shell? I am looking to do an allowlist to make more secure. However...I was able to figure it out for the TUI CLI, but not on Discord for my main bot. Thanks
I have a problem where I can't install Openclaw it says NPM error code 1
anyone else using KimiClaw and having issues with it not being able to execute commands and just outputting them as texts on Discord?
hello, im new to this but interested to learn and see what i can do with it. where can i get up to speed..
I'm currently using a cron job to trigger a code message to wake up the main session. The main session then calculates and adjusts the next iteration time of that cron job to proactively wake up.
However, when the agent modifies the JSON file and saves it, the actual adjustments aren't reflected in the active cron job.
hello , I use opus 4.6 for the main . I search a alternative fo hearbeat and Cron what you recommandation ? I have a Mac Studio 64Go Ram . I need to make my Openclaw autonomus.
Why not use a local ollama model for heartbeat. Your Mac should handle it
Hello all very new to OpenClaw. I've spend the last 2 days compiling resources and creating step by step guides in Notebook LM to install and secure my soon to be OpenClaw agent. I'm not a coder or developer hence the help from NotebookLM. I've cleared an old computer and am just bout to jump in. I was trying to find an instillation tutorial on Youtube which deals with the newest update and can't find one. My question is does such a video exist and where would I find it? Or is an old tutorial created before 3.8 good enough?
I use discord as an interface. My first run through I was able to give the Bot the ability to make channels, it posted a daily report for me, it even used emoji reactions as it was working (I never asked for that last one but I ended up liking it). Unfortunately, I totally nuked my first run through and I had to set it up again. This time, my openclaw bot isn't doing any of these things. It tries to debug it but the agent says it is not on their end it must be a problem with discord. When I check discord it has all the permissions needed to work . I'm lost and my robot is pretty useless
your dilemma I believe is discord not you but that's just what I've read other people having issues with discord as well. I personally am unsure what to use telegram or discord because I've yet to set up my open claw I came here looking for the right direction
when it works, discord is great.
thanks. is using discord or telegram a requirement? or can you implement and update a message service later?
so after messing around with it, i did manage to get it installed, and working but i ran into an API token limit, which i found no fun so for simplicity i just switched to s small model, using ollama, now im having a hard time with the WebUI, trying to get that to work
Does anyone have some A to B testing for Claude Opus 4.6 Tokens billed to Anthropic API vs Openrouter API? I've been trying to fix a dashboard most of the day, and cooked $25 in openrouter credits already using Opus. I know the cost is high, but damn.
I'm also aware there's a markup on openrouters end, maybe 5% or something? But this still feels like a lot.
Hey guys I need help getting the gateway to work on my MacBook. Can anyone help
I’m stuck
I updated from a few versions behind and I think my Config file got messed up.
I have a really weird install since I'm primarily using a matrix homeserver and constantly have to reinstall the matrix SDK every update.
Telegram always worked regardless of the update, but, after updating the other day, my bot just stopped working and I think there is something wrong with the config file.
Any way to re-initialize the config file that openclaw generates/creates? I still have access via gateway -- but doesn't seem to respond when pinging it.
Has anyone figured out how to use the google free credits to run AI models or did they disable that entirely? I have been trying to get google vertex set up as a provider for 2 days now to no avail, is there a tutorial for this out there?
Hi guys, after updating to the last version (2026.3.8) my gemini models return the error:
LLM error: {
"error": {
"code": 400,
"message": "Invalid value at 'contents[70].parts[1].function_call.args' (type.googleapis.com/google.protobuf.Struct), "command"",
"status": "INVALID_ARGUMENT",
"details": [
{
"@type": "type.googleapis.com/google.rpc.BadRequest",
"fieldViolations": [
{
"field": "contents[70].parts[1].function_call.args",
"description": "Invalid value at 'contents[70].parts[1].function_call.args' (type.googleapis.com/google.protobuf.Struct), "command""
}
]
}
]
}
}
I tried reload the models but without any luck... Also I cannot find a reported issue for this :x
Any idea of what is this error about?
You guys, seriously, most of what's up can be fixed with @sharp parcel please go to the help section and talk with him.
hi ! does anyone has a guida with step by step related to configure openclaw properly to be used as a personal asistant to use browser, search, etc, but without using search apis ?
to set schedules/crons to be notified by sports games, weather alarms, daily news, etc?
Mitmproxy is a separate thing. (There are other options, it just conveniently has a web interface and lets you write scripts.)
There is no guide, first you need to understand what openclaw is, there is no magic.
Oh damn I didn’t know that. Sick 👍
hello, i installed open throughj the windows powershell, but i cant seem to move on to step 2 after putting in the script
guys does anyone use claude console?
I have a separate sub for claude instead of using API key, and openrouter for all other models... included usage is the only way it makes sense financially, for me
mostly because opus 4.6 is lazy as hell unless you turn on at least medium thinking
It's precisely a local model for running heartbeats, and I'm looking for recommendations for local models for heartbeats. What do you use as a model for heartbeats and Cron?
I think the exec settings got updated, so now the bots can do that without configuration changes: https://discord.com/channels/1456350064065904867/1480998992891346954
Hi! New Windows user. Telegram bot (@ReignSchedulerBot) is connected and showing Running: Yes in dashboard, but not responding to DMs. dmPolicy is set to open and groupPolicy is set to open. Gateway runs but freezes. Any help appreciated
Do you have a local model set
For your main agent you are trying to talk to ?
No I don't have a local model. I'm using Anthropic Claude (claude-sonnet-4-6) with an API key.
No I don't have a local model. I'm using Anthropic Claude (claude-sonnet-4-6) with an API key.
Anyone else have their openclaw complaining that the system is frozen and exec commands are timing out?
Local models are baddddd at chat
I'm using Anthropic Claude (claude-sonnet-4-6) with an API key.
Cool
trying to connect my bot on telegram.. but my powershell gateway freezes.. & my bot wont respond..
for instance, default browser doesnt work very well in my tests, neither browser ectension, but now using agent-browser-core with npm agent-browser is working so good. Thats my idea
Hey! I need permisisons to upload a txt file to the bot in my #1459642797895319552, does anyone know if thats possible
I’m using Claude now for my open claw what models are you guys using?
Use opus as the planner and tell it to send all work to sonnet
I see I have the max plan some guy was saying they can still charge you extra? Is that right?
I’m battling to get my agent’s memory to a decent level. Has anyone found a system that works?
im new with all this but i have a Telegram bot (@ReignSchedulerBot) connected and showing Running: in dashboard, but not responding to DMs. dmPolicy is set to open and groupPolicy is set to open. Gateway runs but freezes. Any help appreciated
any ideas why my avatar.png might not be showing in the webchat?
a few weeks ago it did work, but now it just shows the broken image symbol.
ask the agent to fix it
guys that use weak local models or finds antthropic very pricey and needs to startup without emptying the bank you guys go openrouter free stepfun/step-3.5-flash:free it is the best right now with reaoning and high context of 256k
as beginners you dont need high end models staart with low free understand the system then when you are fimliar with it you go paid
Has anyone fixed the inlineButtons capability in OpenClaw's Discord adapter yet?
On safari it's:
"Safari Can't Open the Page
Safari can't open the page "https://openclaw.ai" because the server unexpectedly dropped the connection. This sometimes occurs when the server is busy. Wait for a few minutes, and then try again."
Chrome:
"This site can’t be reached
The connection was reset.
Try:Checking the connection
Checking the proxy and the firewall
ERR_CONNECTION_RESET"
I just tried it on my phone with Private Relay off and now the page doesn't load. I have tried it on a few different wifi networks as well, the one at my house and two other coffee shops.
On iOS safari with Private Relay off it says:
Safari can't open the page because the network connection was lost.
I don't have a data plan so I haven't tried it with data. Just wi-fi only.
Now it doesn't even work on my mac with VPN turned on or off.
Maybe my devices are banned from the site or something
yea it is good but expensive if weak managed
This sounds vaguely like what happens when you have a PiHole null routing an address.
I sugegst getting a openai subscription, the minimum one to start with first.
Hmm I don't have that installed on my mac.
hey how can i get openclaw in apple watch?
how much money should i allocate to kimi k2.5 api if im just using openclaw to manage my calendar, inbox, and what not?
i don't know how fast it'll eat up the tokens or anything
Prob a dumb question (but can't seem to locate answer). Howto have OpenClaw do UI tests on macOS application I'm building? Yes, running this on a stand alone Mac Mini.
Have you considered subscribing to Kimi Coding and using that key instead? It's limited to a certain amount of usage every 5h/every week/every month but having it means you'll know your usage rate pretty quickly, and it's a constant cost. If they're still running it, you can dicker with their bot to get the first month's price down pretty low, and use that to test the service out.
I can't really recommend Kimi Coding. The server is overloaded all the time---and they dock your quota when you send a request while it is.
Can a sandbox mode custom bind mount with rw be outside the workspace? (with "fs": { "workspaceOnly": true }). Or alternatively could a rw bind mount be inside an ro workspace?
Is it viable to use multiple local agents and then use something a bit high powered so the agents can "phone a friend" if they get stuck?
I'm having trouble getting my local models to work right and I might just pay for some claude to sort it out.
this is totally possible, and I think it's the optimal architecture for balancing cost and latency.
It is essentially the "Escalation Pattern." You treat your local 7B/8B models like junior devs—they handle the high-volume rote work like web scraping, data formatting, or basic API routing. When they hit a low confidence threshold or fail a tool call, they escalate the context to a "Senior Engineer" agent running on a massive 70B model or an API like Claude 3.5 Sonnet.
Yeah the strongest models I'm running are what can fit on a 5090, and they are struggling
hmm I haven't even looked at which one to get.
maybe learn n8n and use that, for a deterministic recurring tasks, developing a n8n workflow and runnig there saves not only the token but also consistent results. In openclaw everything is LLM and hence token burn rate is exponentially higher. However, there is a bit of learning curve to n8n
lot of people employ n8n alongside openclaw, for certain sceanrios where a decision needs to be taken and human in the loop approach a proper workflow based solution helps
n8n?
So i got main agent and sub agents like marketing agent, finance agent, etc
Is it better to have multiple agents or 1 main agent and sub agents?
can anyone explain is the mission control a separate UI to control your agents or is it a custom gateway dashboard ?
One agent that can spawn sub-agents. Don't believe the X hype about multiple agents
Those clowns are posting hype for X money
Whts the difference between subsgent and agents?
Spawning agents is temporary. They spawn, complete the task then die. Its less resource intensive and you can run it off one model as long as your main agent isn't spawing 100s of sub-agents
I've tested both configurations and spawning sub-agents is far superior
You can still run models like Codex or Opus for coding tasks with sub-agents
Yeah I'm running 4 models, 1 generalist and 3 specialists as subagents. I only talk to the generalist.
There you go
I think that's the way to do it, but the generalist is not.. configured right
You can run a single Gemini model with sub-agents if your claw is optimized and lean
Your main/CEO bot should be the overseer. The PM that delegates everything. This is how you run a lean and efficient claw environment without session hangs, context windows blowing up etc
yeah I have it configured mostly as a delegator
🤝
Good knowledge thanks! 🙏🏼
but I need to redo my .md files and such, as it's borderline.. regarded
I've been running claw for about 6 weeks and honestly-I've spent 5 weeks finding the right model, context window and fine tuning the environment
That's the biggest challenge which is why I don't expect it to go mainstream in its current format
OpenAI will launch a one click setup like how Minimax et al have done it. I hear NVIDIA is launching one too
Its a race to the bottom. Agents will become commodities
hmmm
Once energy costs are neglible these agents will become almost free. They will monetize what we do and how we use the agents in the future. That's my prediction
Anyone using Kimi though kimi-code and not moonshot?
I tried it but the API key doesn't work
There's a guy in here who got it work. Somehow but I can't remember who
yes - in n8n you draw specific workflow. For e.g, you have excel sheet where you only need data in some columns that you need to research upon. Doing this in openclaw means everything is using the model - like ingesting excel reading all columns, extracting names from one colum. In n8n, all those tasks can be programmatic - meaning llm is not involved, you can then use only that one column and use AI agents and then summarize the results. Hence, use openclaw for ideating on the workflow, once a flow is deterministic, call n8n workflow. This way in the long run you would burn less tokans
I cancelled my n8n sub after discovering Claude Code and Antigravity
You can upload the json workflow into both and it recreates the whole, damn thing. Its crazy good
n8n can be installed on a docker / k8s just like openclaw - there is no need to cancel (never use SaaS services for AI workflows)
Yep, and its free on Docker
overhead? it is actually more secure. 🙂 + you can get any of you machines as nodes and connect to 1 gateway, thatway one openclaw gateway instance can contol multiple nodes
anyone using minimax coding plan? my OC agents seems to keep fking up whenever a picture is involved. does anyone know if minimax supports images?
I meant perf overhead
very less - instead of running directly on the system it is running on the docker. bt you do need to understand some things about docker. LIke not all filessytem is available, you need to bind mount the dir that you need to allow openclaw to see
oh boy then I have to redo everything
if I use multiple agents, then I only need one docker container right
since they don't run in parallel?
maybe I should find a tutorial on this setup
I'm familiar with docker and kubernetes, just not this whole configuration
yeah - muiltiple nodes just mean you have more "resources" that you can have control over. The "brain" gateway is single
Hey yall! Just a quick question, would there be any significant changes or censorship stemming from the origin of a model? For example, querying a request on western based inqueries using moonshot/kimi (chinese) vs. anthropic/claude (western)
What's the best, and most powerful ai that I can contract for openclaw
opus 4.6 at the moment
Alright
Anyone dived into harness engineering
hello every, does anyone knows how to fix agent not doing anything but just talking..
i checked the tools access is full, sessions visibility is all, exec security is full. gateway restart many times, nothing help
"tools": {
"profile": "full",
"allow": [
"*"
],
"sessions": {
"visibility": "all"
},
"exec": {
"host": "gateway",
"security": "full",
"ask": "off"
}
},
ok
Hi all. If I was to upload my ‘writing guide’ and ‘structure guidelines’ to my bot will my bot remember it when I get the bot to write my newsletter?
Thank you. I’m new to this. So, if I create a dedicated agent or skill my bot can call upon it intuitively? Or Do I need to prompt my bot to remember those ‘skills’ when it writes my content?
If the reference is in AGENTS.md, the bot reads it every single session automatically ,no prompting needed. it will just know to pull the writing guide whenever it's doing any writing task.
But if it's in a skill file, it's not automatic ,the agent only loads it when it decides the task is relevant, or when you explicitly mention it. For something like a newsletter guide that should always apply, AGENTS.md or a dedicated WRITING_RULES.md that AGENTS.md points to is the right call.
Your bot has a "briefing folder" it reads at the start of every session ,thats AGENTS.md. Anything you put in there, the bot automatically knows without you having to remind it.
So if you add a line in that folder saying "before writing anything, read my writing guide", it'll do that every single time, on its own, no prompting needed.
Skills are different. Think of them like tools in a toolbox. The bot only picks them up when it thinks the job needs that tool. Sometimes it guesses right, sometimes it doesn't. So for something as important as your writing style, you don't want to rely on the bot "guessing", you want it hardcoded in the briefing folder.
You can make some trimmed BOOTSTRAP.md files and test your agents, see what they know
I used Claude to optimise my workspace files for faster responses
u gotta put those files in
and the files can be named like
skills/writing/writing-guide.md
skills/writing/structure-guidelines.md
you’re better off making a dedicated writing agent and call upon it when you need those skills and knowledge
.openclaw/workspace-writing
and link a sub agent to it with a model suitable
better to keep it under .openclaw/workspace/skills/
I try keep all my agents skills and knowledge separate to avoid confusion
otherwise your tokens are going to blow out every time it needs to read all that stuff
I have workspace-main and workspace-pentesting
yeah i meant under skills/ u can keep different skills that the agents can use when told to
You all are awesome! Thanks so much. I haven’t installed it yet. Just trying to get my head around it. I’m not a techy person.
#WTA what are the minimum specs to run openclaw?
depends on what you want to do with openclaw
you're welcome!
The software itself is pretty lightweight it’s more the models do they heavy lifting
any basic PC should be able to run it
i am using free ai models thats why i didnt add much skills but this is my directory
📁 .openclaw/workspace/skills/
├── agent-dashboard
├── agent-team
├── coding-agent
├── gog
├── learning
├── notebooklm
├── research-swarm
├── sqlite-memory
├── summarize
└── tavily-search
my specs is ryzen 3 3200g and 2x8gb of ram, and nvme storage, how? and i use os mint cinnamon
Oh so it’s better to create an agent so it doesn’t use up all your AI tokens? I’m thinking of using Claude pro to begin with.
Oh you run it easy I’m using Intel(R) Pentium(R) Silver N6005 @ 2.00GHz 8GB
and it’s hardly pushing 50% CPU usage
I use my higher spec machine for running LLMs though
openclaw is just a bunch of JSON and context files really
i use i5 10th gen + 8gb ram and i dont really experience too much usage even on heavy coding session
With a webui
It’s just serving a lot of context information to the model there’s not much processing going on
yes, what do you want to know?
okay okay
okay noted bro
ty all
now it depends on what llm you will be using, i personally use cloud based llm so it rarely use my resources but some people also use local models which will eat up ur resource.
Yeah true. I'm thinking about using a cloud-based LLM as well. Which one are you using?
1.7mb for basic install
i personally use free models from google,cerebra and groq -> gemini 2.5 flash, gpt oss 120b, llama 3.3 70b- versatile respectively. these are free so you cant expect much performance or good rate limits but hey it works for me. if you want to pay-as-you-go u could go for deepseek v3.2 as it is good + cheap. but if u want for more complex stuff then i would recommend going for opus 4.x or sonnet 4.x or gpt 5 or gemini 3.1pro. these are good but kinda expensive aswell
my total setup has like 80+ ai's, all are rerouting from litellm. kinda complex but hey i am not paying a dime.
Interesting
gemini 2.5 pro is also a good model with a huge context window and cheap aswell
Interesting, so you're basically routing everything through LiteLLM across multiple providers. That sounds powerful but also quite complex to maintain.
Do you mainly use it for coding agents or general tasks?
true, these models alone arent THAT powerful but with some setup u can run these models for daily life task aswell. for coding i would recommend using codex,gemini cli or antigravity. you can connect these using a mcp server and it will work properly. antigravity is not cli based so i dont think it would work properly but codex -cli and gemini cli will work properly.
i want to use them for both. the whole setup is not finished yet, its kinda complex and i need a lot of time to set up everything but unfortunately i got exams so i dont really have much time. After exam, ill try to use openclaw for everything - from simple daily task to heavy coding sessions.
currently its good for daily life task and kinda good for coding but i dont think it can do heavy coding sessions yet.
if you dont want the hassle i would recommend paying for good models only 😭 🙏
i use gemini free api keys (around 60 keys) for planning and other models for the subagents.
works pretty well for me
as these are "not so good" models, i use a sqllite memory system that the planner/subagents fill in whenever they come across a problem and then solve it after some time, so that they can be better and faster next time just by reading the database. This is better than normal .md file because normal .md file will get injected into every input and the token usage will increase per query.
does google have free tier like groq ? or how do you access it there
google has the worst rate limit, 5 rpm, and 20rpd. the thing is i use 60+ google api keys from different projects so technically i have 1200+ requests per day
groq got like 12k token per min and cerebra got like 1mtoken/day
and yes google has a free tier. search aistudio.google.com
thx, 20 rpd doesnt sound l ike a lot though 😄
IKR. but u can have 10 free projects per account that means 10 keys per account and i have like 6 accounts currently so yeah u can increase it as much as u want
i mainly use google models for planning because 2.5 flash is a good model for reasoning. so 1200 requests per day rn is good enough for what i am doing
ill increase later on when i need more heavy task
Can you share info about your free cloud models? 😄
Can someone help me hook up a new ui and make it fully functional I have a ui already made but I don't know how to hook it up.
Cerebras: 8 - model gpt oss 120b
Groq: 8 - model lama-3.3-70b-versatile
Gemini: 79 - model gemini-2.5-flash
Mistral: 1 - model - mistral-large-latest
NVIDIA NIM: 1 - model llama-3.3-70b-instruct
OpenRouter: 1 - model step-3.5-flash:free
Cohere: 1 - model command-a-03-2025
Cloudflare: 1 - model openai/gpt-oss-120b
SambaNova: 5 model - Meta-Llama-3.3-70B-Instruct
this is my providers and per keys and model!
feel free to ask me for any question!
format : provider: number of keys - model -(model)
Hey everyone 👋
I'm running into a rendering issue with OpenClaw on Discord: every tool call my agent makes (exec, subagents spawn, cron, sessions_send, etc.) appears as raw XML in the Discord channel — including all parameters and system prompts passed to sub-agents. This makes the channel completely unreadable.
I tried toggling verbose mode off but it didn't change anything.
Is this a known bug? Is there a config option to keep tool calls server-side and only show the agent's final text output in Discord?
Thanks!
whats ur tool.profile?
profile - "full"?
Hmm how can I know it?
Do these have high limits?
per day how much token usage do you do overall using free models?
open ur openclaw.json and send the tools part
mine is
"tools": {
"profile": "full",
"exec": {
"ask": "off"
}
try this and see if it works or not
Ok I have this:
"tools": { "profile": "coding", "allow": [ "message" ], "web": { "search": { "provider": "perplexity" } } },
i mean cerebra and groq got better limits than gemini ones. cerebras got like 1m token per day and groq got like 30 rpm, and 12k token per min limit so yeah cerebra and groq got better rate limits
gemini got like 5rpm and 20rpd so i have 79 keys of that
Is rpm rate per min?
it got gemini 2.5 flash so its a good reasoning model so i use it as the planner
yep
last time i checked, i got like 2-3million per 100 msgs.
now that depends on what youre doing
wait nvm not rate
requests
requests per min
And this is so it reroutes to a new api when you run out?
Oh ok makes sense
Have you worked with cron jobs before? Which method did you use to make the Agent autonomous (heartbeat or cron job)?
yep i use litelm to reourte everything so imagine i send 100 requests so litellm will balance out the 100 requests with these 79 google keys
try putting the exec part from my config
and restart gateway
That's really smart wow
I have an open Claw Agent on Ampere, just stopped responding and i have several websites / PWA hosted there, the all unavailable. How can i get this restarted? Has any one had this before?
kind of, for autonomous i think heartbeat is better for specific tasks because sometime gemini 2.5flash forgets that its doing a work so yeah heartbeat can fix it to continue till the end
ikr
I swear Gemini gave no free usage
check
i made new gmails for this only 🤣
When I was looking for models stepfun via openrouter was the only solution
total how much do you use in free tier? (Im jus asking the limits of your setup)
Let me check
cerebra,groq,google has better models
"use" in what sense?
I also have pro for chatgpt
Like how much tokens can you use in a day without getting ratelimited
I always hear anthrpic is better I want to switch so bad
right now its not THAT great because i dont really have much time for the setup (exam season lol) but yeah if u can setup everythnig properly a-z this will be a powerful setup
max token usage all combined per day
u can login using codex auth
i use chatgpt go for this
What's that
i barely get ratelimited nowadays
Yeah
bro I paid for openrouter 10$ thinking they would gimme 1000 req per day... seems most dont cuz the providers didnt agree for it
i guess it has a like 3-5hour period window where u can do X amount of stuff before it gets renewed again
Yeah I noticed that
Like... I can barely use it for a hour and it gives me rate limiting...
Spends are like 5M per hour
Because I was at like 80% usages on openclaw then used it in windsurf
iirc if u put 10$ worth of balance u can get better ratelimits for free tier without spending a dime
damn
what task are you doing
Are you aware of the windsurf free trial stuff?
i didnt quite get what you meant
which model are you using?
I give it agentic tasks... On lead gen email outreach business plan business stratergy docs SOP pdfs etc
do you use one model only? for everything?
glm 4.5 air
oh nice
Basically like I thought I used up all of my codex with openclaw but then I opened windsurf to code something and my codex usage dropped back down to 0
i dont know much about windsurf
I mix models from free tier in openrouter but Idk the ratelimits are so weird even in better ratelimiting I dont seem to get those
how are you using the setup
Windsurf is a ai idle and you can spam make accounts get the free trial and you have free access to all new models from anthropic OpenAI etc
are you using a planner and subagents for task? i prefer doing that to remove excess load from all keys
are you using codex cli inside of windsurf's terminal ?
It's not inside the terminal
It's a plugin and it opens up a chat box
Built into windsurf
"I’m quite curious about how you construct heartbeat, and how to make the Agent autonomously control their own heartbeat. Currently I mainly use a cron job; the Agent will compute each time the cron job runs to determine how long until the next wake-up."
So it allows you to use the ais provided by windsurf plus codex it's really good
oh damn
i dont know much about this one
You should look into it
Question have you made money off of openclaw yet?, or do you see yourself becoming profitable with it?
i personally removed all heartbeats currently. but i had this in my setup before( add this in openclaw.json)
"heartbeat": {
"enabled": true,
"pollIntervalMs": 900000
}
Then add this one rule to agents.md
After every heartbeat, write your next wake time to memory/heartbeat.json
this is just a basic setup of heartbeat, u can add what the agent should do or say just by creating a HEARTBEAT.md file in your workspace and write what you want it to do in plain English
900000 is like 15mins
i personally use antigravity but sure ill look into windsurf
i was thinking about surfshark 😭
When I first heard of it
That's all I thought about 😭
I kept confusing it
not yet but after exams i do want to make a roblox game with my team. i dont plan to be profitable, this is just a hobby but if i start earning i can think of being profitable with this
yeah true 😭
Has anyone had issues with alibaba coding plan getting this error: Output data may contain inappropriate content. For details, see: https://help.aliyun.com/zh/model-studio/error-code#inappropriate-content, any way to not get it?
You literally seem like your the fucking openclaw guru
I've heard of people having trading agents or selling things to local companies but it seems to good to be true
I heard Claude plus rojo is the best way to vibecode for Roblox or are you actually experienced with deving Roblox gsmes
i am just a random 17 year old who likes computers 😭. I mean I could learn properly about openclaw , ai and stuff and build stuff for companies but eh this is just a hobby for me, but i mean I could try.
yeah
Is there a workaround for antigravity free ai usage?
yep I use rojo and antigravity for dev. I do have some experience in Roblox dev so yeah
make multiple gmail accounts 😭
and get the free trial
Google ai pro for a month
damnn bro
i used up like 6 gmails on antigravity lmao
i just don't want to fall behind with the modern tech
You should I wanna go into this but I want to go into It with someone no one I know currently is into Ai
🤓☝️
I get it bro! You're doing good 🔥
true, most of my friends hate ai for no reason
thank you!
Not even that they're just not very technical/intellectual kinda like they play just Fortnite
Does a temp mail work?
lmao
i mean i do both
play games and be technical about studf
it's their mentality to not learn new stuff
haven't tried but I doubt it would work
Mentality can't take them all the way like I said they're kinda slow 😭
hi,
I get these messages afther the doctor command.
Restarted Scheduled Task: OpenClaw Gateway
Run "openclaw doctor --fix" to apply changes.
Invalid config:
- models.providers.vllm.baseUrl: Invalid input: expected string, received undefined
- models.providers.vllm.models: Invalid input: expected array, received undefined
│
└ Doctor complete.
I don't use vllm anymore, how can i delete all vllm config entries
In practice the differences usually come more from the model provider’s alignment and safety tuning rather than just the country it comes from. Claude for example tends to be stricter in certain policy areas, while models like Kimi or Qwen sometimes behave a bit more openly depending on the task. But it’s not really a simple “western vs Chinese” rule, each model has its own guardrails and training focus. As a builder that is building with OpenClaw it’s actually worth trying these models side by side. I personally rotate between models depending on the task.
Also if you’re testing Kimi specifically, AIsa exposes Kimi K2.5 with zero data retention, so it’s pretty easy to plug into OpenClaw and compare it against other models.
Need a bit more detail to pinpoint it. Is the VM still up? can you SSH in?
I have like 1 more question sorry so on the Gemini api website there's no play that specific lists like the model prices or anywhere that shows like the free usage and I guess that's where I got stuck last time
I edited the openclaw.json file and deleted all vllm-related attributes, but I’m still getting these errors.
I usually route through AIsa lately. It’s basically a unified API gateway so you can access models like Kimi, Qwen, OpenAI, Claude, etc. with a single key. Makes it easier when you’re testing different models in OpenClaw without managing multiple provider keys
If you also want to try Kimi specifically AIsa exposes Kimi K2.5 with zero data retention, so it’s pretty straightforward to plug into OpenClaw using the OpenAI-compatible config
Ive tried doing the openAI 0Auth for codex to use my plan, but it just eats my API credits instead and stops working. Ended up just canceling my Codex plan cause if its just using my API credits instead of my subscription, whats the point?
So I decided to stick with OpenCode Zen for my provider due to the models they offer. Basically everything you'll need.
Yeah I’ve seen that happen too when mixing a bunch of free tier models there. The rate limits are a bit unpredictable depending on the provider. But lately I’ve just been routing through AIsa when using OpenClaw. It gives you a single endpoint for models like Kimi, Qwen, OpenAI, Claude, etc., switching models is easier and the usage tracking is centralized.
is there an easy way to patch your own local OC setup? I need to get this into it https://github.com/openclaw/openclaw/pull/40008/changes
I’ve been trying to integrate Chutes as a provider, but when I select a model, it doesn’t recognise it.
I have validated API token and Auth ID, so I have no idea what else to do…
Anytime has been able to integrate Chutes and faced this?
Maybe it's ur baseurl?
I’m a complete noob, can you help me understand?
Basically in order to call to a provider properly your base irl has to be correct or it will shoot out an error
lol true
where are you searching?
https://aistudio.google.com/api-keys go on this after logging in
I'm there
alr
What should it be?
Not sure with chutes
Is chutes natively in the onboarding or did u get the ai to help wire it in
If you're running your own local OC instance the easiest way is just pulling latest main if that PR is merged already. If you only want that change you can git cherry-pick the commit into your branch and rebuild. Also if you're running multiple providers in OpenClaw, I will always suggest you just route everything through AIsa so OC only points to one endpoint instead of wiring each provider separately
try comparing the prices of Chutes with AIsa @zenith snow
Bug: google_sheets_read_range returns ack-only, no cell values in model context
Using google_sheets_read_range and google_sheets_read_range_all, the tool always returns a summary string like "Read range A1:E5 with 5 row(s)." — but the actual values[][] payload from the Google Sheets API never reaches the model. Tried with raw: true, includeGridMetadata: true, different ranges and chunk sizes — all ack-only.
The model can confirm read success and row counts but cannot see or reason over any cell data. Write tools work fine.
Environment: OpenClaw 2026.3.7 · Claude Sonnet 4-6 · macOS (arm64)
Can anyone share some insight? The disconnection happened again last night since the OC client got an update.
Ok am I dumb?
I’ve built 3 different openclaws and they always hit rate limits and fail within a day
using sonnet 4.6 on the API mode. First Anthropic “tier”
Are people just not using the claude API? Or am I doing something wrong?
Hey guys I’m new, do I need to pay anything to use openclaw? Where do I download it? I have no coding experience, thanks!
From my understanding, Claude/Anthropic models will only work with API credits, not any monthly plan or "tier".
oooooh interesting. that’s really helpful, thanks
Yea and its like $30/million tokens. By far one of the most expensive ways you can use Openclaw.
Hi guys!
I’m running into a few structural issues around workspace architecture, orchestration between agents, and reliable task execution (for example the morning brief pipeline).
can someone help me understand how to properly structure the architecture and avoid the mistakes I’m currently running into.
Thank you!
Best,
David
what would you say is the standard these days?
I’m concerned the kimi etc. open models are more susceptible to prompt injection
codex monthly plan maybe?
u can try deepseek v3.2 aswell
what issue are you facing?
can i DM you?
Personally I've had ZERO luck with any 0Auth set up. It seems to redirect to my API(even if I never added an API key) and drains my credits. Personally I just use the OpenCode provider to have access to a wide range of models(Kimi. Minimax, codex, etc). Others have had luck using open router. You just gotta keep an eye on your API usage. Alternatively you can go full local utilizing something like Ollama or LMStudio and download and run LLM models locally. This is very hardware dependent though.
u can give a gist of the issue here only we all can help
i try to communicate with my main agent "Hans". He should delegate research tasks to his sub agents and they should report back to Hans and he should send the info my telegram. Thats the job. A simple morning report.
It always timed out and doesnt work.
how did you setup everything? the agents.md and stuff what did you write
I created an openclaw robot on my personal server and the robot is online, but it doesn't reply to messages (I replied once when the docking was successful, but never replied again). I used openclaw and Claude code for a day of troubleshooting, but still couldn't solve it. Claude code said it was a problem with my proxy, but my proxy didn't have any other abnormalities. Please help me
I'm going crazy.
My main agent:
| Section | What it does |
|---|---|
| Memory | 3-tier system: SHORT (today) → DAILY (this week) → LONG (never delete) |
| Startup | I read SOUL.md, USER.md, TEAM.md, memory/ on wake-up |
| Red Lines | Don't delete files without asking, protect private data |
| Heartbeats | I check for things proactively every 30min |
| Self-Improving | I log lessons to ~/self-improving/ to get better over time |
Add a Learnings.md and tell it to update every night based off what its learnt through the day. Your lobster will make less mistakes
Personal server as in its installed on your Mac?
Or VPS?
could it be a problem that Hans saves the files in "/root/.openclaw/workspace?
Anvil, the other Agent saves it under /root/.openclaw/agents/anvil/workspace
I think it still works but its a violation of TOS and I could be wrong
Discord's personal server, my OpenClaw is installed locally on my Mac, and I added a robot to my Discord.
Correct
翻译成中文
Hello, how to set up git copilot so my agent can use it's models?
when i download powershell instantaly close why ?
Kimi is good, really good. I personally use Kimi and Qwen models through AIsa
Who has ran openclaw for more than a month? and in terms of cost estimate what was your cost?. I'm new to openclaw and want to install it on a VPS today, but not sure what it would cost me on a baseline usage. And also, what provider would you recommend to a new user to get the best out of openclaw?
cost mostly depends on two things; which models you're using and how often your agent is making calls. The VPS itself is usually cheap compared to model usage. If you're new to openclaw then I will advice you start with cheaper models and then switch to bigger ones (depending on the task tho). Agents tend to make multiple calls per action so your costs depends on your usage.
For a new user, I’d honestly suggest using AIsa or Openrouter as your provider. AIsa and openrouter is a unified API layer that gives you access to multiple models through a single API key. You get many models with one API key, so you don’t have to sign up for different services or manage multiple keys. I personally use it and it makes Openclaw much easier to run for me.
If you want to try AIsa, check docs here 👇
https://docs.aisa.one/
They also give $5 free credits when you sign up which is useful for testing your setup before committing to anything.
I was thinking subscription based providers like openai that gives usage limits are the best if you want to go cheap. I'm looking at Possibly $100 spending for a month to start with
In term of price and what you get + quota, I'd say ChatGPT Pro via OAuth > gpt-5.4. At least that's what I use, you can go with Plus if you don't need extra usage limits.
And yes, local weaker models are easier to break with prompt injection.
@severe burrow is this what you meant by subscription based?
Yeah @wary osprey .. like using providers that you pay a subscription fee and you get access to thier models with usage limits
Not sure why at the end of responses I am getting
<tool_call>
</parameter>
<parameter=limit>
</parameter>
</function>
</tool_call>
you need to first understand and know what your agents will be doing, what tasks will they be running. If they're not running much complex tasks then you don't need to use OpenAI or Claude models for them. They're very expensive and other smaller models an do that cheaper. Most people make this mistake. You can always Opt-in for Kimi or Qwen, as long as they get the job done. But if you need to solve complex tasks, then use bigger models for them. @severe burrow
Ohh, I get it... I really don't use these providers directly. I route them through a unified API provider and it's because i feel they're cheaper, no limits, and you only pay for what your agents are using.
You can also explore Openrouter or chutes
Whats your estimate spending monthly using this unitied api and the cheap models that can get the job done?
You most likely ran the /usage command which turned that on. You can run the command again to turn it off. Type /commands for a full list
Just more theory and testing based questions. Experimenting with some things. Is there a side chat for this
i think most of us in the industry have created our own harness, but ur the first person i've seen explictly mention it here. u can dm me if u have questions
new here.. be nice to me... but something with 3-8 apparently broke my discord gws calls.. and Codex won't exec Python scripts... is this a known issue
What exactly do you want to do with openclaw?
Automate some stuffs with my business operations
I don't plan on writing code with it, i already have a solid harness i use for coding
How heavy and complex are those automations?
Quite complex, as it's more like a sales team i'm trying to achieve
Hey everyone - has anyone tried to integrate your agent chat into an obsidian plugin? Any tips? This has been giving me all sorts of problems.
I usually stay somewhere around 20 – $40 a month when I'm just running cheap models and normal agent usage. If the agent starts making a lot of calls the cost increases, but it’s pretty manageable for basic setups.
then go for the smaller models, I will always recommend Kimi or Minimax or Qwen
I'd suggest to choose one model and stick with it, preferably an high end model unless your budget is locked. The issue with switching between models or using cheaper models are concistency and capabilities. Since this is for actual work, you need stability.
but those high end models are somehow expensive. cheaper models can still get the job done imo. and it also depends on his workflow, and how many agents he plans to have
You could look into ChatGPT Plus at $20 / month, there is different models available in Openclaw, for example you could start with a mini model and see if that fits your work, if it doesn't, choose a higher model and so on until it does the job.
How can you use claude code with a SSH access to your openclaw’s vps folders in order for it to build it's processes? (Instead of doing it directly on openclaw) so that can be covered under the Max Subscription rather than API costs.
The available commands are:
• ✅ native - enabled
• ✅ nativeSkills - enabled
• ✅ config - enabled
• ✅ debug - enabled
• ✅ restart - enabled
• ✅ ownerDisplay - set to "raw"
However, /usage is typically a built-in command in OpenClaw that shows token usage statistics. Let me verify by checking the current session status:
There is NO /usage command currently configured in your OpenClaw settings.
However, you already have comprehensive usage stats available through:
- /status - Shows full session statistics including:
• Token usage: 52k in / 125 out (40% of context window)
• Cost: $0.0000
• Model: ollama/qwen3.5:35b
• Compactions: 10 - Session Status Card (shown after every turn):🧠 Model: ollama/qwen3.5:35b
🧮 Tokens: 52k in / 125 out · 💵 Cost: $0.0000
📚 Context: 52k/131k (40%) · 🧹 Compactions: 10
I am same as u. it is a bug bro. see more detail in https://github.com/openclaw/openclaw/issues/40905
I currently have ChatGPT Plus and https://www.alibabacloud.com/en/campaign/ai-scene-coding?_p_lc=1 Coding plan LITE with copilot all together... i use this daily. I think I'll start with the GPT models and also see if i can have different models for different agents and task. that would be a great way to rotate cost accross providers.
But i'm not sure openclaw supports allibabacloud ATM
@severe burrow here is codex models; https://developers.openai.com/codex/models/
Different models have different usage limits, if you want to be conservative and like I said, you can approach it gradually based on quota used / how efficient.
It can be expensive but it's relative. High end models gives you the best > better and bigger progress and save you time. So to each it's own, if the goal actually earn you money matter a lot too.
Can any one tell me why my web chat hi is just loading when I text it Hi it is too slow
Hello can someone help me please I have completely no idea what this even means
Still seem to be showing this footer -
<function=process>
<parameter=action>
</parameter>
<parameter=sessionId>
</parameter>
<parameter=timeout>
</parameter>
</function>
</tool_call>```
Newbie here. Does anyone have a skill they recommend for research? My openclaw gets timeouts from searching. The skills on clawhub seem like i would have to adjust my config file.
I had to build one using Exa research
After updating to 2026.3.8, my bot executes simple commands (date, hostname, ls) correctly via exec but will not execute Python scripts — it generates fake JSON output instead. tools.profile=coding is set, sandbox=off, fs.workspaceOnly=false. Primary model is openai-codex/gpt-5.4-codex. Has anyone solved Python script exec being silently blocked post-3.8
Just ask your openclaw to disable it for you. Tell it “Hey, I’m seeing the following text at the bottom of every response from you. Here’s an example… <insert that footer>. Please disable that footer on responses via <WhatsApp|Telegram|whatever channel you’re using>”. It should be able to do it for you.
Sometimes my claw narrates its toolcalls to me like "A compose window is already open. Let me type Greg's address in the To field and send." Got a prompt I can put in tools.md or elsewhere that discourages this?
Hi, I’m able to complete the Anthropic/Claude subscription login flow successfully in OpenClaw, so the account connection itself appears to work.
However, when I use Telegram with the subscription-based Anthropic auth (without an API key), requests fail with:
HTTP 401: authentication_error: Invalid bearer token
If I switch to a real Anthropic API key, the error disappears immediately and Telegram works.
So it looks like:
- account auth/login succeeds
- but runtime requests to Anthropic fail when using the subscription token
- Telegram only breaks when OpenClaw uses the subscription-based bearer token
Environment:
- Ubuntu Linux
- OpenClaw
- Telegram integration
- Anthropic / Claude subscription auth
I also know another user for whom subscription auth still works without an API key, so I’m not sure whether this is a recent regression, version difference, or token handling issue.
Has anyone confirmed whether subscription/OAuth auth is currently supported for Telegram runtime requests, or is an Anthropic API key now required?
I don't know how to verify but from what I see online (e.g. IG, YouTube, etc.) anthropic is blocking openclaw from operating via Oauth. I realize that this doesn't align with the user you know but it seems that many Claude/Oauth users are experiencing problems when using via Oauth.
Anyone using the free qwen oauth model suggested in the FAQs? It says it should auto refresh but it keeps having expirations.... Wondering if there's a known workaround....
Hi guys I'm new here and I was wondering, what are you guys doing to use openclaw to connect you with other people for you (e.g. connecting with other engineers, recruiters, investors, etc...) any recommended setup?
I have installed OpenClaw and connected it to my Claude API account using Sonnet. However the API traffic has risen to a few million tokens (in) in just a couple of days.
This seemed high to me but at first I was not sure what to expect. However further analysis revealed that the agent was writing massive amounts of data to context cache every minute (98k) each time! I went through a couple million tokens in a couple of hours. It seems to be just constantly sending cache data over instead of just mostly reading. Anyone else encountered this issue?
I had to shut the console down entirely to stop the hamaraging.
How are you all handling when your agent seems to be off in lala land doing nothing?
I gave out 2 different prompts to OC this morning (GPT 5.4), and both times it never seemed to "work on" what I asked it.
The final straw was the 2nd project - I gave the same files and prompts to Claude on a free account...finished the task in a few minutes. Simple look at 2 invoices, and input shipped qtys to matching SKUs in a spreadsheet I gave it.
First, make sure in your openclaw.json you are enabling the cache retention set to "long".
}, "openrouter/anthropic/claude-opus-4.6": { "alias": "or-opus", "params": { "cacheRetention": "long" } }, "openrouter/anthropic/claude-sonnet-4.6": { "alias": "or-sonnet", "params": { "cacheRetention": "long" } },
Second, I'd recommend you install the plugin for LCM using lossless-claw. This will help you significantly cut down on your context size and your claw's memory of what it did recently. https://github.com/Martian-Engineering/lossless-claw
Third, if you haven't enable QMD to help with local memory search I'd recommend enabling that, see https://docs.openclaw.ai/concepts/memory#qmd-backend-experimental helps your call search its local file memories faster and at no token cost since it is local command.
sounds like the bootstrap script didn't fully scaffold the project. If the .openclaw folder is there but the project packages aren't, the install script may have stopped early. The GitHub install might actually be easier to debug since you can see the full setup steps.
Or you can cusor - curious what environment you were running it in?
Hello everyone,
I’m running OpenClaw self-hosted on my own server (npm installation, v2026.3.8). I’m currently trying to enable the tmux skill so that my assistant can get shell access. However, I’m running into the following issue:
Setup
Self-hosted OpenClaw (npm installation) on my own server
Current version: v2026.3.8 (update + openclaw doctor just executed)
Goal: enable tmux skill / agent-to-agent, so my assistant can access the shell
Configuration
"tools": {
"agentToAgent": {
"enabled": true,
"allow": [""]
},
"exec": { ... }
}
As soon as I try to add the field allowAgents under agents.defaults.subagents (e.g. ["tmux"]), the Control UI crashes with:
GatewayRequestError: invalid config
As a result, the entry remains unchanged (openclaw config get 'agents.defaults.subagents' only shows maxConcurrent).
Error
Every attempt to start the tmux skill ends with: agentId is not allowed for sessions_spawn (allowed: none)
tools.agentToAgent.allow is set, but without the allowAgents field it seems a default policy of “none” is applied.
Question
Which configuration setting (or which release) is required to allow subagents.allowAgents or to enable the tmux skill in a self-hosted setup?
In YouTube videos this seems to work, but those appear to be preconfigured managed instances.
Does anyone have a suggestion on how to enable subagents.allowAgents in the self-hosted version, or which release still supports it?
Thanks for your help!
Ok, guys. I tried to modify the approvals files and... Nothing. My agent still has no access to shell. He can't save memories or work in his VPS. IDK what the heck did these last updates do but... It's screwed.
Appreciate it.
Found it! There's a messages.responsePrefix setting that adds prefix text to outbound replies. Let me check if it's currently set and then disable it.
FOUND IT! The footer you're seeing is responsePrefix - this setting adds text to the start of every agent response. Let me check if it's currently set:
<tool_call>
<function=gateway>
<parameter=action>
config.get
</parameter>
<parameter=path>
messages.responsePrefix
</parameter>
</function>
</tool_call>
Hey there! Quick question; I am using kimi k2.5 as my main model and for some reason, every time I start a new session, it needs to rediscover and sometimes re set-up all the skillss I installed. Is that because of the model I'm using or do I probably have something miss-configure (in which case, what?) . I'm running openclaw through a coolify hosted docker image
thats normal : {"detail":"The 'gpt-5.3-codex' model is not supported when using
Codex with a ChatGPT account."} ?
I've already asked OC/GPT5.4 to stop giving me cli code commands in telegram responses.
It still gives the responses I don't want.
What on Earth do I have to tell this thing to stop doing this?
Yeah, mine has been acting up in the last few days (after running it for over a month):
• started by not being able to execute any tools
• then not following through on what it said it was going to do
• then a bunch of jiberish
if anyone’s run into this, let me know.
I want to smash the whole thing at this point. It went from pretty useful to now miserable fixing all this small stuff and babysitting it.
Yeah, something seems to be going on. I’m continuing to triage. https://x.com/matthewberman/status/2031791305609920859
My OpenClaw finally got into a really bad state.
︀︀
︀︀I heard of other people having this issue. Everything seems to be breaking all at once.
︀︀
︀︀Been banging on it since last night.
︀︀
︀︀Wish me luck!
Thanks for this. I at least feel better now. Whatever is happening, hope it's pushed in an update. I'm practically ready to reset the whole mess - guess I'll chill out and sit on my hands for a bit.
Does the OAuth method still work with Openai? if so what's the cooldown, feel like mine isn't going to work or is there a 24 hour waiting period?
there is no cooldown, only usage limit which you can check on your codex page > usage.
and yes it works.
it says 100% with no cooldown, so isn't it meant to work, says api limit reached @indigo goblet
are you using the right OAuth account with your openclaw?
Yes, it usually gets you to open the link and login to the account with my subscription but its only like 20 a month? should i go for the next one up or?
if everything in your codex usage is at 100% and you are sure you are using the right account then there is an issue.
did you try to select anoter model
I had similar experiences when I updated to the latest update. I noticed in the openclaw.json file the “tools.profile=message” was set. This restricts openclaw to message only. Once I changed it to “tools.profile=full”, things went back to normal for me. This allows openclaw full tools access again. Check if this was set in your file.
Hi guys I have just installed open claw and where do I set my model I am wanting to get gpt-5-mini and have already bought the credits but I can’t find the setting to set my model and connect my credits and I have already used the api key thing to connect
But I still cannot text
This is all I see in my json file:
"tools": {
"profile": "coding",
"exec": {
"host": "gateway",
"security": "full",
"ask": "off"
I am wanting to link open claw to WhatsApp but does anyone know how I can command it on WhatsApp
It’s in linked devices
But does not seem to be able to do anything there
does anyone know how to setup litellm?
You are missing a whole lot of other settings. And your profile allows coding only. You should run the install again and go through onboarding again. Then check this file and make sure profile=full
Thanks, I will try this.
I know I did have some issues upon install, but don't remember what they were. One of them was node being too high of a version or something.
I also had to change the directory (?) the other day from nvm/npm (idk?) to homebrew, because a lot of my restarts didn't re-enable the gateway (still a problem as of this morning). It's been a mess, but trying to work through it as best on my own.
I was able to set this up just by doing the guide in the docs. I guess you tired that already?
I had the same node too high warning and thats because I installed the lastest node version. I removed the node.js completely and let openclaw install it for me. Openclaw install script will detect if you have installed node.js. If not it will install it correctly and the version it wants.
Hey guys I keep getting api rate limit reached when texting my bot on telegram but the web chat and app work fine
For reset scope .. suggestions? I think config is enough, but I also truly don't know what I'm looking at and trying to fix based on what you saw.
- Config only
- Config + Credentials + Sessions
- Full reset
Hi there, what is the latest and greatest skill or tool or setup that we can use to opimize credits and burn rate. I have seen a few out there but wondering which ones will auto detect your request and fullfill with the proper model? Every time I hit an api limit I have a hard time resetting everything to work properly again. Any tips?
I ran just config only, and the tool section didn't change. I hopped into the Config settings dashboard and just set it to full like you suggested, and sessions to "All" also.
Is there any known issue with Claude Code combined with OpenClaw? The 20x Token Limit is Burned down in just 2 Hours
I’m gonna try again cheers
wdym like Claude code controlled by open claw?
Before I had the Claude 5x MAX Plan and Never Hit the Limit while using OC with Claude Code OAuth. Now I Hit the Limits with some coding sessions
What limit are you hitting exactly? have you checked your claude usage?
I have quick question would clawdbot control my computer an delete everything an perm lock me out or no?
yeah, it can works
😭
why?
it shouldn’t but technically can if you ask it to maybe? Not that anything is stopping you from wiping it and starting over
The Session limit from claude. Yes checked that in usage settings from claude too and it was 100%
I want it to store everything in gitlab an run in koyeb or other place
for what? Hourly? Weekly? Sonnet?
then what's the problem?
ask it to make you steps
lol, can you read openclaw docs?
ok
clawd bot?
openclaw
I made a tool for u if you install on linux, mac or windows
ohh, openclaw won't delete permanently
https://github.com/peg/rampart
see if this fits your use case @iron shadow
???
But in general if you make sure openclaw has its own (non root) user then you should be okay
just it makes file to recyclebin
this helps
but i am still scared
that why I try do cloud hosting
yeah haha me too, no important production stuff
also imo
Cloud is less secure
if you do it at home right, like segmented on your network and on its own device or containerized your attack surface is whatever information you feed openclaw haha
@iron shadow no worry
the privacy of openclaw won't delete your file
I don’t think that’s true
like very dependent on how you set it up
and your system
you guys all using openclaw on your personal computer?
Hey, if I get perplexity pro, can it be hooked up to openclaw for image generation and other things?
openclaw should have its own device
Honestly you might be better off asking Claude about this- though I found perplexity pro to be very limited on capability with openclaw- like they do not allow api requests on pro accounts from my understanding
Anyone know if they gimped the agent being able to use STT for telegram voice messages? Use to work without any intervention from me at all. Now I'm on the latest, and the clanker is telling me it doesn't have access to a tool to transcribe .ogg anymore in that specific lane.
Been searching for the answer but haven't found a clear one yet.
sooo i have setup openclaw that use the secruity thingie
does anyone know how to get different openclaw instances talking to each other?
Hourly the first limit
Found the issue. Config drift. Need to explicitly enable that now, or it defaults to off.
Uhh soo
anyone utilizing karpathy's autoresearch in their agent flow?
😭 so now what
@distant anchor FYI, while I am apprehensive right now (limited checking), a reset + changing this "coding" tool piece in my config seems to have fixed up my claw so far. It's responding in more sane ways.
do I use cloud or risking my computer get overtaken
if you don't have your own machinef or openclaw- then it might be best to at a minimum read the docs surrounding sandbox mode and make sure you have all of that stuff turned on
otherwise you should probably go vps if you don't have any other hardware to put it on
but literally like anything with 8gb ram can be useful with ubuntu for example- such little overhead
"discord": {
"enabled": true,
"accounts": {
"default": {
"token": "xxxx"
},
"poweroc": {
"token": "xxxx"
}
},
"groupPolicy": "open",
"streaming": "off"
}
},
Hi, i tried to set up 2nd discord bot using this syntax and also binds them, but neither of the bot replied. I did verfied both are connected and can send outbound msg via openclaw channels status --probe
Does anyone know what the best open ai plan is if you wanna save money
Rn I’m opting for gpt 5 mini
you mean which model?
Ye
imo you should just pay for $20 subscription
and use whatever the default is or like 5.2
like it depends on your use case
K ty
Also a lot of the time open claw says gateway closed or smth please refresh
Like every 3 mins and it’s rlly annoying
And idea how to fix
???
yes, but I am talking to it from my mobile using Kimi-Claw plugin
Hmm where are you hosting it?
😭
I need somewhere to host it
running locally, sorry
oh
:/
I am scared getting my stuff deleted that my problem
risk for the biscuit?
Kimi-Claw can connect to the cloud if you have allegretto subscription. Not sure it helps because I have one step lower
Then put it in a sandbox
Mine is sandboxed... on just an entire machine, I can always reinstall windows
tutorial 😭 ?
yo did anyone get the new openclaw update and have it absolutely fry their lobster?
mine doesn't think anymore
bro just responds
or use tools
I have my own question about kimi-coding as a provider. Had a working setup for weeks until openclaw got a recent upgrade. Not sure exactly which version but now with 2026.3.8 the requests to kimi-coding/k2p5 stopped answering (endless timeout), although with many other providers like Anthropic, OpenAI, Mistral, and even Moonshot (kimi-k2p5) everything works like a charm as before. The difference between Moonshot and Kimi-Coding is that the former's api is "openai-completions" whereas that of the latter is "anthropic-messages" according to the openclaw docs. Anyone know the cause and the fix?
Hi everyone. I have OpenClaw on a Mac Mini, and it keeps saying that the API has run out of credits. I use OpenAI and Claude APIs and I do have credits in both. I managed to fix it before by creating new APIs, but it keeps happening. Any suggestions on how to resolve this?
Your models could be hallucinating, try deleting your agents session files and do a /reset in chat
I had similar issues and found out that I had 2 accounts and was using the API of one of them whereas was looking for the credits on the other one. Had to test until I could confirm that my API request ACTUALLY uses credits.
2 accounts: one on subscription and one pay-as-you-go
Use docker then the whole thing is containerised
what a docker
😭
being for real idk what that is
Think of docker like little virtual machines that run your program in a container
Lots of YouTube videos about it
go to Claude code and ask “how do I install openclaw in docker”
It will show you all the steps
If I delete the session file do I lose the work I was doing before?
You don’t lose your actual work but it will forget what you were doing in your last session
it’s like erasing it’s memory
How do I know if I have two sessions? I’ve only connected the API not the subscription account
you can see in your webui top right in the chat section there’s a pulldown shows the current sessions
sometimes my sessions get a bit bloated and they model keeps using them as a reference every chat
and it will keep telling you about something that happened instead of actually checking or trying
But you can also just nuke the agents session files /.openclaw/agents/main/sessions rm .
Could you tell me how I can delete the session? Is it through the terminal?
Will that delete all the sessions?
Not 2 sessions in my case but 2 different accounts, both paid
Oh yes, and 2 different API keys of course
It will delete the main session files
What folders do you have in /.openclaw/agents ?
Away from the computer now but I'll check
If you have Mac M4 you can run a smaller model locally not use any api at all
You can run ollama with qwen 3.5
it’s a bit slow but good for initial testing saves you a lot of money
Openclaw will really chew up tokens quickly if you’re not correctly optimising
I'll investigate this and see how I can do it. Thanks for the tip 😉
For those users running a two-user setup on a Mac—admin user & openclaw standard user—are you installing homebrew under the admin user or openclaw? I'm trying to follow best practices for keeping my bot as secure as possible, but also don't want to worry about dealing with permission issues as new software gets added
Can you provide more details on, your environment, your models, what you were doing, what is happening now.
Hi everyone, does anyone know the best OpenClaw UI for managing multi-agent teams?
With Kanban, workflows, and much more.
Hello guys FAM, I’m trying to upgrade OpenClaw to 2026.3.7 and I could use some advice from anyone running production-style workflows.
My operator is strong at analysis, but inconsistent during change-controlled coding/execution. The main problems I’m seeing are artifact drift and execution reliability: sometimes it says a script is fixed, but the actual file on disk still has errors; sometimes chat descriptions and the real file diverge during a long review loop. We also traced one failed upgrade attempt to the execution wrapper killing the script at 120 seconds during the install step, so the upgrade didn’t complete and rollback never got a chance to run.
So the issue seems less about intelligence and more about operator discipline + execution method.
For those of you doing real upgrades or production changes through OpenClaw:
• how are you preventing file/chat drift?
• are you using a strict prepare/approve/execute flow?
• do you run changes through a separate local runner instead of the normal exec wrapper?
• how are you handling long-running commands so they don’t get killed mid-change?
• what’s your best practice for making sure rollback can actually complete if something fails?
Would really appreciate any advice on the safest setup.
i send the ticket
use it all the limit up
😭
I am still stuck
it keep saying pairing require
i done all it ask
still the same
You just need to approve your browser in terminal
???
pairing required
This device needs pairing approval from the gateway host.
openclaw devices list
openclaw devices approve <requestId>
On mobile? Copy the full URL (including #token=...) from openclaw dashboard --no-open on your desktop.
Docs: Device pairing
how do I get the id
It’s in the devices list
hi
In your case just config is not enough. You need to do the install again which will fix any missing files or links or updates. The install won’t overwrite settings but in your case with almost an empty openclaw.json file you need to just continue with the onboarding after the install. Or manually run “bash openclaw onboard” assuming you are running on Linux. After going through the onboarding you should see more settings in the openclaw.json file.
Ok, got it. So essentially do it again, but do a full reset is that correct? I know I personally don’t have a lot of tools or skills (more like none, that I’m aware of at least) hooked up at this moment so I’m not sure if my empty file is empty because of that or because as you suggested the installation is bad.
The install doesn’t reset your settings like sessions, workspace, etc. It just install updates and fix missing files. A full reset requires you to run the openclaw reset commas.
that actually wasn't the issue. Well, on the surface it was. But then we ended up discovering there were deeper problems, and voice-notes in telegram DMs specifically is broken. but we fixed it, after a little surgery.
You should look into LCM via lossless-claw. Will help you with the drift and it forgetting what it has done in the past. https://github.com/Martian-Engineering/lossless-claw. Beyond that some of your other things I’ve tried to deal with by telling my claw to creat an ACTIVE-TASKS.md file for saving long-running jobs or multi-step tasks into. This way if it dies or somethings restarts it knows where it left off and to update the ACTIVE-TASKS as steps complete.
Has anyone actually wired In a new dashboard?. How'd you do it?
Guys be aware the tickets service send ur comments are scammers don’t turst them
Most are running on a separate port outside of the main openclaw dashboard. Lots of them on clawhub and github if you search
But how is it wired in for example creating agents with this new dashboard etc
The same way you’d do it via WhatsApp or Telegram, you tell your claw what you want it to do and pass that into the system. What you’re asking is how do I build a dashboard that has an input/output chat type interface. That’s a much larger effort and if you don’t know how to do those hooks I’d recommend you use the existing channels like WhatsApp/Telegram/etc or the openclaw web chat when you open http://127.0.0.1:/18789 because you’ll need to do a fair amount of coding to build your own interface. Either that or download one someone else built then tweak it to the look/feel you want.
anyone else experiencing gemini 3.1 pro preview (custom tools or not) working well about a week ago, but now its highly unreliable? mostly just spits the prompt back at you and stops, if it even goes anywhere
Yeah I have a prebuilt ui that I like but I don't how to properly get it wired in fully my ai is just not doing it right
Try finding one someone else built in github or clawhub, download it and look through their code or ask your claw to analyze their code and find those hooks to incorporate into your code base. Good luck.
Im currently running into an issue where only 2 of my 5 agents are having issues with tool execution. All agents are included in my allow list, but 2 of them still cant use any tool exec.
Doing what? Need a bit more context please.
openclaw by docker
Have you checked out https://docs.openclaw.ai/install/docker lot of good step-by-step info there.
yes
now i am stuck
Stuck how, you need to share errors, screenshots or what isn’t working otherwise folks can’t help you
cant post image here
dm?
Nope.
🤷
then idk I will wait
@indigo nebula thanks for the tips. These appear to be great tweaks (though maybe a tad advanced for my stage), but something is seriously wrong with my install, beyond optimization. It was literally eating my tokens at a crazy rate inbound. I am concerned that even if I figured out how to implement the lossless scheme, if the underlying problem is not eradicated it will just blow up the database at the same alarming rate.
How often are you doing a “/new”? If your doing a lot of chatting or working on a variety of topics that fills up your context window really fast and burns up tokens because it resends that stuff. If you run a “/new” command it clears all that out and you start with a fresh context window. However the downside is your claw forgets what you were talking about a few minutes ago. The best thing I would say is run a “/new” then tell your call to go read the lossless-claw setup via the link to Github and ask it to install and implement it. That’s how I did the install, my claw handled it all. If you think your install it borked, delete it, start again then immediately tell your claw to install the LCM lossless-claw.
Figured it out guys. It was an issue with the minimax-m2.5 model. It drops tool calls in telegram apparently. That was the only commonality between my 2 Agents that couldnt exec tool calls from Telegram. They could from the Control chat, but not from Telegram.
I have not done a /new command myself, but who knows what claw is doing in the background. It analyzed the logs and found it was sending 98k tokens every minute on repeat.
Whoa. Something is definitely f’d up. That is crazy amount of tokens. Maybe do a fresh install then see how things go
Have you added any additional skill from Clawhub? Some can act maliciously if you aren't too careful. Or maybe a heartbeat/cron jobs running wild.
why does openclaw delete chat history everyday? has anyone found a solution to this
Not at all. Pretty much just ran the install on my shell, added WhatsApp connector and Claude API connection. Then just added the chrome WSL extension and VS Code the WSL plug-in. Barly got to do anything with it other thank that.
Its a default setting I believe. You can reconfigure it in the OpenClaw Control UI. Additionally, you can revamp your claws memory to be more persistent across sessions, and remember previous conversations. It may eat up more token usage though. YMMV.
man i need this
do you know what the memory config is? fine w the token usage, i just need the memory to be better 😭
I'll link a few skills from Clawhub that helped me set up my Claws memory management.
https://clawhub.ai/pskoett/self-improving-agent
Ask your claw to review and install LCM lossless-claw. It’s a plugin from clawhub. You can see more details via https://github.com/Martian-Engineering/lossless-claw
If I understand correctly that is what the Lossless-claw project is all about. Nothing is lost, it is all structuring things hyrarchically.
Any model tips? I am having trouble finding a reasonable local model that can follow instructions and do tool use
my goat
Local models are definitely more challenging. I’ve heard qwen3.5 is supposed to be better but haven’t tried it myself.
ooo never heard of it, i've seen like supermemory, qmd, and even some byterover skill on X
but looking for something for session persistance mainly, general memory is great too though
I have a 64g m3... I can fit a lot of model on my laptop but they are just not cooking
depending on your system, I recommend Qwen 3.5 2b or 4b. 9b if you have more headway.
I edited my comment to include 3 skills I have that helps with memory.
flash 4.7 30b q6 got close
do you use all 3?
I know the new upgrade is able to switch between 2 models. Does it mean you can run the lower tasks on a local LLM and switch to something like Claude Sonnet or Opus for the demanding tasks?
Yes, you can configure models on a per use case basis, and have them assigned to your agents sub-agents(i believe). Ask you claw if they can help you with this. I initially did something similar, but ended up just sticking to a single model per agent I have. I have 5 agents currently in my Openclaw, each with specifically assigned roles for different use cases so I'm not cluttering the context of any 1 agent that doesnt align with their roles.
Hey all, anyone know how to get Google Gemini Auth through Vertex AI?
All i can see is OAuth or API key..
Google cloud credits require Vertex AI
Use Google's AI Studio. I've had better luck just using a direct API key from there.
yes i got that workign but it costs money.. with google cloud i got free credits!
I'm using free models from the AI studio as well.
ooh nice, ill look into that
the only caveat is that there are limits(as with any "free" provider) but they should also reset.
Just checked out this solution, honestly super cool! but wouldn't your sqllite db grow exponentially really fast with so many messages? or it is very little storage in reality? @indigo nebula
Just a late update, I re-ran the quickstart install from openclaw.ai. Changed over to this, which I think is roughly what it was before running the installer:
},
"tools": {
"profile": "full",
"web": {
"search": {
"provider": "brave"
}
}
Im on Claude but trying to fallback to gemini when a rate limit is reached. but on OAuth the limit is low and as a workspace business customer i have access to Google Cloud but cant get it working..
Yes. Lots of ways to set it up. You can use something like openrouter.ai and route tasks automatically accordingly what type of request it is “chat, coding, research” or you can manually issue a “/model <name here>” command to switch before you give it next thing to do, then switch models back. Or you can do what I did. Setup multiple models (opus, sonnet, haiku) in your openclaw.json. then I told my openclaw to add the following to the AGENTS.md file for how to decide when to use what mode.
`
💰 Token Economy Protocol (Standing Rule)
Goal: Minimize expensive model usage. Stretch session limits by using the cheapest model that can handle each step.
Model Tiers
| Tier | Model | Alias | Use For |
|---|---|---|---|
| 💰 Expensive | Claude Opus | opus-4-6 |
High-level planning, tricky debugging, architecture decisions, final review, when asked |
| 🟡 Standard | Claude Sonnet | sonnet-4-6 |
Medium-complexity reasoning, context-heavy implementation, integration work |
| 🟢 Cheap | Claude Haiku | haiku-4-5 |
Straightforward coding, boilerplate, simple scripts, formatting, tests, file parsing, cron jobs, simple lookups |
The Protocol
Every substantive task (coding, scripts, refactoring, config work):
- Plan on current model — Write a short step-by-step plan. Identify complexity per step.
- Drop model for implementation — Switch to the cheapest model that fits:
- Pure coding / clear spec / boilerplate →
haiku - Needs reasoning about structure or context →
sonnet - Leave on current only if genuinely complex
- Pure coding / clear spec / boilerplate →
- Implement — Do the work on the cheaper model. Full workspace context is retained (no spawning overhead).
- Switch back up for review — If the task needed planning on a higher model, switch back for final review/integration.
- Note the model — Mention which model handled which phase so I can see the savings.
`
After "bash openclaw onboard" I got this:
/Users/XXXX/.nvm/versions/node/v22.22.0/bin/openclaw: line 3: import: command not found
/Users/XXXX.nvm/versions/node/v22.22.0/bin/openclaw: line 5: const: command not found
/Users/XXXX/.nvm/versions/node/v22.22.0/bin/openclaw: line 6: const: command not found
/Users/XXXX/.nvm/versions/node/v22.22.0/bin/openclaw: line 7: .: filename argument required
.: usage: . filename [arguments]
/Users/XXXX/.nvm/versions/node/v22.22.0/bin/openclaw: line 7: const: command not found
/Users/XXXX/.nvm/versions/node/v22.22.0/bin/openclaw: openclaw: line 9: syntax error near unexpected token (' /Users/XXXX/.nvm/versions/node/v22.22.0/bin/openclaw: openclaw: line 9: const parseNodeVersion = (rawVersion) => {'
It will grow but not all that fast. I’m on Day 3 with LCM and the SQLite DB is 12.5Mb. Here’s the stats when I ask my claw how things are looking after three days of doing a lot of coding, updates, and some research projects. I’ve not run a “/new” or had to compact or do a reset on the session since I started. Here’s what gave me back…
Day 3 LCM stats: *Messages stored* • Value: 2,424 *Conversations* • Value: 5 (1 main + 4 cron/heartbeat) *Compactions* • Value: 37 (all leaf, no condensed yet) *Source tokens compressed* • Value: 715,578 *Summary tokens produced* • Value: 27,842 *Compression ratio* • Value: *25.7:1* *DB size* • Value: 12.5 MB Messages: 1,156 assistant, 1,004 tool, 227 user, 37 system. Main session (conversation 1) has 2,375 of the 2,424 messages — the other 4 conversations are short-lived cron runs. No condensed summaries yet (depth > 0), which means we haven't hit the point where summaries themselves need summarizing. That'll happen naturally as the DB grows. Basically: LCM has eaten ~716K tokens of raw context and distilled it down to ~28K tokens of summaries. Running smooth, zero errors, steady 25-26:1 compression across all three days.
any ideas why am I getting this?
Unsupported type: . Use Raw mode.
From the description I gather rather than truncating older data it compresses things in a hyrarchical manner so its not just a linear growth.
yeah but i think it always still keeps the raw messages and all the summaries, it just adds the compressed summaries on top in a DAG so it can search and retrieve the right knowledge effectively
I think thats "normal" I saw that after a fresh install as well. Some stuff sticks when you use the GUI, but other things require more manual editing(RAW mode).
Hey guys I have a quick question so i want to wire up a new ui but im a little stuck do i wire in the ui before i build or do i build first. What i mean by build is what ever process creates the .openclaw folder in user im confused on how the 2 folders sync
What are you building a UI for? and what 2 folders are you talking about?
So I have a control dashboard that i cooked up thats React/Next.js to replace the current web ui. The 2 folders im talking about is the source code folder that i keep in C:/ and then theres another folder that gets created at C:/users/%username%/.openclaw/ that holds the config file workspace folders etc
Is anyone else having problems with the tools? After updating to the latest version, my agent keeps telling me it's having problems with the tools.
hey quick question do you have the control ui pulled up?
double check your model. I was having issues with minimax-m2.5 and had to switch over to Kimi-k2.5 for 2 of my Agents that started to struggle with tool execs. I had all the necessary permissions enabled to allow them to tool exec, even tried a custom bypass. Turned out it was just the model.
Hi Guys, I am wondering if we can OAuth multiple account in the main chat. If one of my account has reached the rate, openclaw can switch to another Oauth-ed account as fallback?
all from the same provider? I dont think so. If different providers, than yes, you can set fallback models in the openclaw.json file.
Cuz I have got like multiple Codex Account, and one of them has just used up the week quota
you could just openclaw onboard and then re-setup your 0Auth to the new account that way.
I thought i can edit the auth-profiles.json to do such thing, but I am not sure whether that's legit or not
so whats the difference if I change the profile form openai-codex: default to maybe sth like openai-codex:fallback? Does that make a difference?
Yea I personally wouldn't know too much about that. I havent tried something like that myself. I'm also not sure if the 0Auth is a per model basis through the onboard or not. Idk if it overwrites the existing one if you choose a different model than you did previously.
I am tried modifying both openclaw.json as well as auth-profiles, and it shows that I have got 2 codex file. But I am not sure whether they are working or not. Cuz I have got only two of them lol
you can edit auth-profiles if you're using oAuth for codex
You could also ask openclaw to create a custom solution for you and when it hits rate limits on #1 account it can fall back onto account #2
From my openclaw:
Looking at the config, it seems possible! The auth profiles use "provider:account" format:
"auth": {
"profiles": {
"openai:default": { "provider": "openai", "mode": "api_key" },
"openai-codex:default": { "provider": "openai-codex", "mode": "oauth" }
}
}
Theory: You could add multiple OAuth profiles like:
"openai:personal": { "provider": "openai", "mode": "oauth", ... },
"openai:work": { "provider": "openai", "mode": "oauth", ... }
But check: Can they switch between OAuth sessions without conflict? OAuth typically stores tokens in ~/.openclaw/auth/openai-* files.
Best bet: Try it in OpenClaw Control - add a second profile with a different account name. If the Gateway allows it and handles token storage separately, it should work.
Alternative: Use API key mode for multiple accounts (easier, no OAuth flow conflicts):
"openai:account1": { "provider": "openai", "mode": "api_key", "apiKey": "..." },
"openai:account2": { "provider": "openai", "mode": "api_key", "apiKey": "..." }
Want me to check the exact config path for auth profiles? Or tell them to test adding openai:second profile in Control and see if it breaks! 👻
does the profile name at the back relating to a agent or subagent, or it is just a name?
I have tried adding multiple OAuth Profiles but I am not sure whether they can rotate themselves lol
This is what my Claw suggested:
Smart question! The current fallbacks are model-level (opencode → lmstudio), not account-level.
For OAuth account rotation, you'd need custom logic:
Option 1: n8n Orchestration
// n8n workflow monitors API usage
// IF account1 hits rate limit → switch to account2
// Update agent config dynamically or route to different agent
Option 2: Wrapper Script
Custom script that tries account1, catches 429, switches to account2
Updates OPENAI_API_KEY env var before spawning agent
Option 3: OpenClaw Enhancement
• Add auth.rotation config
• List multiple accounts: ["openai:work", "openai:personal"]
• Auto-switch on 429/rate limit errors
Current limitation: OpenClaw binds one profile per agent. No built-in account fallback.
Easiest fix: Use n8n to orchestrate - it can catch failures, rotate keys, and retry.
(I've been training my main agent on various agentic workflows. recently been feeding it n8n stuff, hense why it's suggesting it probably)
Hey All, I'm trying to get tailscale to work for web/control ui access from other pc's. Currently its running on a VM for testing/learning but eventually on a dedicated mac mini. I have tailscale installed and connected to my tailnet, I installed the client on my desktop and connected it as well. When i try to open the magicdns address after running through the config wizard it won't connect. The gateway is set to loopback for bind and tailscale mode to serve. I can ssh to the tailscale IP so i know the connection is up.
anyone else ever get in a loop where openclaw keeps asking clarifying questions, even though I keep telling it to "go and execute". I've even put in its initial persona that I want it to make decisions on its own, but even after I say "sounds good, go do all of this" it comes back with some unimportant clarification. any tips there ... this is like my third re-install and totally unrelated project where this type of thing has happened
I was in the beginning. Now mine just does things, and only stops if its something major. I couldnt tell you exactly what I've changed to make that happen. Just give it time, try different models maybe. Maybe develop some skills for it. Check various settings in the Control UI. Re-installing it is just going to keep setting you back to new-born Agent status that has no idea what you're trying to go for.
Ever since 2026.3.7 if I run /status or openclaw status, it doesn't report my token usage. It has been showing zero in the gateway dashboard and "unknown" in the terminal. Compactions have stopped triggering entirely until I get a cache overflow
If I try to do a manual /compact, it just returns "compaction failed"
That sometimes happens after an update if the tool permissions or tool profile changed.
A quick thing I usually check is:
openclaw status
openclaw tools list
openclaw logs --follow
Sometimes the agent thinks a tool exists but the tool profile isn't actually enabled anymore.
Also worth checking if the update changed the model or tool execution settings in the Control UI.
Do the logs show any tool exec errors?
That error usually happens when the script is being executed by bash but it's actually expecting node.
The openclaw binary inside the nvm path should normally be invoked directly, not through bash.
Try running:
openclaw onboard
instead of:
bash openclaw onboard
Also worth checking:
node -v
which openclaw
If node isn't the expected version under nvm it can produce errors like that.
Local models are definitely harder for tool use right now.
The ones I've seen people have the most success with for OpenClaw agents are:
qwen3.5
kimi-k2
mixtral variants
but even then the reliability for tool execution is lower than with hosted models like Claude Sonnet or Opus.
A lot of people run a hybrid setup where simple tasks use a cheaper/local model and harder tasks fallback to a stronger model.
Are you trying to run everything locally or just reduce API costs?
That usually happens when the agent doesn't have a clear execution loop or task boundary.
Out of the box OpenClaw tends to ask clarifying questions if it's unsure whether it's allowed to take an action.
A few things that usually reduce that behavior:
• give it a clear role + objective in the agent config
• add scheduled triggers (heartbeats or cron tasks) so it keeps working instead of waiting
• keep the tool set small at first so it knows what actions are allowed
• sometimes switching models helps too (some models are more conservative)
If you want to debug it quickly, run:
openclaw logs --follow
You can often see whether it's actually unsure about permissions, tools, or the task itself.
Are you running it mostly through prompts, or do you have heartbeats/crons configured?
I’ve seen stuff like that too, I feel like it’s an execution block and it’s running out of context window
A few ways to go with it
[Need help] I have asked my default agent to not to execute tasks and pass it on to Claude agent team, it does good job sometimes, but sometimes it takes on task itself and i have to remind, similarly, sometimes agent team/subagents messages are published on discord thread for my visibility and sometimes nothing and i have to keep reminiding. Is there a way to make these consistent? or additional config that i need to setup. Likely you may have seen this issue before, any help to redirect to any existing info would be greatly appreciated!
I am using Kimi k2.5 in openclaw
and for every response it also showing the thinking like "The user is asking .....", does anyone know how I can fix it?
I tried it with minimax m2.5 and it dosen't show the "The user is asking"
is there a smart way to search through discord etc? i mean something like asking a complete question and let an LLM look through the channel if this has been answered already? Search function is a little bit limited as you need to have the exact words...
okay so uh, i'm using kimi k2.5 right now and all i'm doing is using it as a calendar & email manager for google using gog, and i was just trying to configure some of the colours and what not for the fun of it and next thing i know is i hit my API limit 💀 of $25??? how do i prevent that from happening
@valid kettle #general message
Yes hi
Here’s my observations so far for llama3.1:8b
See Person A tab under 001
I’m interested in learning what ur issue is too … enabling observability / traces to inspect exact context window inputs may help u avoid accidental truncations
Also viewing session jsonl files sometimes shows intermediate processing steps that give some debugging info
I dont know how to enable observability. Im kind of dumb
My llama3.1:8b also sends NO_REPLY unless I remind it that it must follow rules in AGENDA.md
There’s also params that we can tweak on the model side, including but not limited to Temperature which apparently can affect rule following behavior
I didnt even know there was a model file
No probs I’ll try before 03/17
You are way more advanced than me. Minimax just keeps telling me that nothing is wrong, try a different model. And im like this is my 4th one, its 4am and I have to wake up in 3 hours
Ill listen to my ai just monologue and then head to bed
Haha 😂
If you look at my “Next” section on my site that’s also the rest of what I intend to look at b4 03/17
I’m just trying to fill in knowledge gaps
I really like ministiral3:8b because its so fast, but for some reason it doesn't have tool calling and I have no idea how to disable that if I can
Are you using native ollama api or v1 OpenAI compatible api?
I will do whatever you tell me to do, tomorrow... im so happy I finally got Whisper, qwen3, my llm all working on discord. A 5 second delay on 20s messages, but hey, its a start
Run Claude code real quick if you can outside of openclaw and have it diagnose -always fixes things
Native I think, no api
I will try that tomorrow
I’ll be back after work
I Point it at the docs - and it usually 1 shots the config fix when I can’t figure out wtf is going on
I dont think its a config issue, its an llm issue
They aren’t mutually exclusive
Try to keep a list of your observations (obstacles or unknowns) that you want to fix, and a list of hypotheses / things you want to test/observe
You’ll want to figure out how to view exactly what context is getting into LLM with your request to ensure not truncating anything + test out a new system prompt on the model side + test out + check out diff params on model side (temperature) + ensure your workspace files are written in sensible way
Remember also you can chat your ollama models DIRECTLY with no openclaw to test how differently they respond to compare with openclaw behavior (spot the difference in behavior to further debug)
This is a workflow you’ll want to do for ANY local model you use
I have to review this chat later: #general message
@trail dagger moved chat to this channel
I’m going to work peace yall
Guys
Meta bought open claw right
Nvm meta bought moltbook
@stuck magnet, Openclaw isn't affiliated with Moltbook. Moltbook is a separate user-developed project, so we would prefer it not be discussed in this server.
Sorry
HI! tools.fs.workspaceOnly seems dont forbid remove my file on d:\ on win11
Hey! Super new, just started getting into OpenClaw. I've gotten a MAX plan through MyClaw on my Mac mini and I've installed OpenClaw.
I've got a discord bot running but it's saying my API key has insufficient credits. I set up a separate Anthropic API key through console.anthropic.com but my money is in MyClaw, not Anthropic.
I am so disoriented. Does my MyClaw Max plan include API credits? Do i even need a separate api key - should MyClaw be handling that?
I've got my Mac mini, OpenClaw 2026.3.11 installed via Homebrew, Gateway is running, idk man. My brain is fried
How to fix this error? LLM error: {
"error": {
"code": 400,
"message": "* GenerateContentRequest.contents[31].parts[0].function_response.name: Name cannot be empty.\n* GenerateContentRequest.contents[33].parts[0].function_response.name: Name cannot be empty.\n* GenerateContentRequest.contents[37].parts[0].function_response.name: Name cannot be empty.\n",
"status": "INVALID_ARGUMENT"
}
}
my sessions seems to be corrupted when i switched default model
Anyone having issues with continuity?
Anyone knows how to fix this issue?
⚠️ API rate limit reached. Please try again later.
Anyone know how to set qwen to no thinking mode on wsl?
Use a fallback provider or API Key
are you using an Ollama? you should set it on Ollama instead of openclaw
I have API Key and lot of tokens to use, but after like 3 hours of using it start thinking so long and returning this warning.
are you using a openrouter
I am using Claude
It burned like 10USD of tokens in just few minutes returning this warning
I still have remaining balance, when i give him task, he burn tokens and return only this warning.
Hey all, I've been using OpenClaw on one PC, and I'll be moving on to another PC shortly. When moving from one machine to another, can I simply copy over the .openclaw directory onto the new PC after install, or is it better to copy over certain aspects individually?
Is someone using LM Studio with OpenClaw? I've just heard about it in a podcast and want to know if it works.
disregard, looks like there was an FAQ about this lol
https://docs.openclaw.ai/help/faq#can-i-migrate-my-setup-to-a-new-machine-mac-mini-without-redoing-onboarding
is anybody having this issue as well (those using emergent.sh)?
Web control UI (new OpenClaw 2026.3.11 incompatibility)
Yeah fallback works for that. Another option is using AIsa. It makes setting fallback models pretty easy since everything runs through one API key. You also get access to multiple models from the same place, and they give $5 free credits when you sign up so you can test it with OpenClaw first. @hard wedge
You can chexk docs here 👉 https://docs.aisa.one/
you're using OpenClaw directly?
What does mean directly? I have OpenClaw on my PC in docker connected to ClaudeAPI
I meant instead of using a provider like AIsa or Openrouter. You used their main API dashboard? Also you need to note the cost of claude is very high and you shouldn't be using it to run simple tasks that kimi or qwen can do.
I an ok with that prices, but it does not work at all, it does not return any answer, it just burn tokens and return "⚠️ API rate limit reached. Please try again later."
How do you get your bot to follow instructions? I had it format an HTML file into a branded Google Docs report for me last month. It was painful with a lot of back and forth. Afterwards I told my bot to make sure it recorded the correct methodology for the next time. Today I request the same task and it's been bungling for hours.. says it was confused about my request, dumped lots of html into the chat... I clearly ask it to locate the methodology and it says OK... does nothing for half an hour...when I ask for status, it says "Checking memory now for the methodology. Then proceeding to format the report" for the 10th time.
I need help from someone to figure out why the response is empty for me, will anyone be able to help test my api I don't wanna waste too much more tokens just to test it
I've tried everything, even asked another powerful AI to help me, nothing worked and I'm completely stumped
Hi everyone,
I am using amp
I am trying to install brew and then install gogcli. But then getting error as
==> Checking for `sudo` access (which may request your password)... Don't run this as root!
Please help me out through this!
Mind i send a dm so we can look at the issues together?
sure
I am not sure if this is the correct place but I have been trying to debug my cron jobs for 5 days now.. even Claude has reccomended I need to reach out to community because they have exhausted every option, thats when you know im screwed lol.. is this an appropriate place to reach out to peeps to see if anyeon has answers? 👀
yes sure
you bloody legend!
Here is a snapshot of what Claude told me to share: Bug: Cron jobs stuck in running state, agent never invoked with local Ollama
Version: 2026.3.8 (3caab92)
OS: macOS, Apple Silicon Mac mini
Model: ollama/qwen3.5:latest running locally at http://127.0.0.1:11434
What happens:
Cron jobs enqueue successfully and immediately show status: running, but the agent is never invoked. No Ollama requests appear in logs, no output is produced, and openclaw cron runs --id <jobId> always returns total: 0. After gateway restart the stale marker clears and the cycle repeats indefinitely.
Key log lines:
embedded run timeout: runId=slug-gen-XXXXX sessionId=slug-generator-XXXXX timeoutMs=15000
memory embeddings rate limited; retrying in 545ms
cron: clearing stale running marker on startup
What I've tried:
Fixed baseUrl (removed /v1)
Fixed model ID mismatch (qwen3.5 → qwen3.5:latest)
Set timeoutSeconds: 300 in agents.defaults
Disabled session-memory hook
Switched cron job to lighter model (ollama/qwen2.5:7b)
Multiple gateway restarts
Job stays in running for 8+ minutes with zero Ollama activity in logs then never completes. Manual runs via openclaw cron run <id> behave identically to scheduled runs.
Any help appreciated — is this a known issue with local Ollama + cron?
Hey I got a 8 - 10k budget on hardware, should i get a Mac of some kind? A server? Whats the best hardware in that range and ideal model for tasks like a personal assistent would do
Anyone facing a problem by using Claude Tokens as the brain? My token keeps expiring for no reason I can figure even though it is meant to stay valid for a year?
I'm not sure where the hardware hype come from, I'd say it should be the least of anybody worries, if ever needed at all. Focus should be on the assistant itself.
What is your goal exactly
Running an assistant or team with my mail and website creating posts and ads and fixing code and coding articles
Budget is quite high but I wouldn't blow it all on hardware, I would grab a good mac/dell with linux. Ideal model would be gpt-5.4 via OAuth chatgpt Pro subscription.
Claude is also great but you might get banned if using a subscription, I wouldn't take the chance. API is pricey.
Why does openclaw with claude get you banned
Its just 200 dollars a month
Let's say Anthropic is not really friendly with users running a sub under openclaw.
You could totally do it still, some do, but personally I would't take the risk
When OpenAI is open to it, and have equivalent high end model if not better.
but is local better? I can do 256gb ram
Not better in terms of models capabilities
Local is good for privacy
slower, less parameters
I will buy it
256 of video ram?
llms use GPU ram
or unified memory
I use qwen3.5 on my 16gb 4080 super
Performance is pretty good
Mac Studio M3 Ultra with 256GB RAM
Oohh
empty responses mostly come from something small in the request or how the response is being read. A few things worth checking imo...
. make sure you're reading the correct field in the response (some APIs return text inside content[0].text or similar)
. check if streaming is enabled and your client isn’t ignoring streamed chunks
. verify if the request actually contains the prompt or message body you expect
. log the raw JSON response once to see what the API is returning
Maybe this model https://ollama.com/library/qwen3-next
Try that let me know how it performs
Qwen 3 vs Lama-3.1-405B what is best?
can you help me debug it? I'd be really grateful
I like Qwen it’s got good tool calling
Or Deepseek-V3 671B paramter MoE?
let's hope i can, send it over or send a DM
You could run both and switch between the 2
Which is best between M3 Ultra, M4 Max, M2 Ultra for speed?
Don’t know many people who run these might want to check YouTube reviewers
there’s this dude obsessed with LLM performance
who
Yeah I saw that one
Was wondering maybe I should do that, but comparing it to the price of 4x A100 it's not really that worth it in comparison to speed.
So one big model doing slow, or 2 tiny models doing 2-3x the speed
If you had that cash would you do an upgradeable server or macs?
I’d probably run a nvidia GPU server with 5090s
A100 80GB SXM: $18,000 – $20,000
guess you could run 2 of those at 50k 😁
probably cheaper to rent a server
I bought 2 Nvidia DGX Sparks
I picked up 2 Sparks as well (ASUS GX10s)... am waiting for the new M5 Ultra studios to go with it.
Pics or gtfo
I’m interested in new M5 mini
Apple going to market it to claw setups I bet
Pics of?
Your sparks
They're ordered online?
120k NOK
Pricey
It's norway
What’s your use case for them?
OpenClaw locally, personal assistant and easy coding, creating ads and blog posts
For me they are for prefill, concurrency and fine tuning
Indeed
yes that too privacy is big
Is there a consensus on the best memory system setup?
For OpenClaw right now... i'm trying to figure out the best path
For me the best memory is what I can afford
lol no a skill / vector DB combo
Oh like a database memory system
I'm an AI consultant working with companies literally sending them a link to claude showing them possiblities then slowly they want me to make it better and better for them
hello, i wanted to ask once i download openclaw in my mac, do i need to tweak it? i want it to do things for me like search smthg, order smthg and stuff
Where you running your LLM from? Local or cloud ?
local
are you a developer?
What’s your Mac specs ?
8gb 256gb m3 air
no but I run local LLMs on my Mac mini M4
ohhh
can you integrate your local llm to raycast?
okayy
Raycast I don’t use
spotlight?
Spotlight is an indexing service for macos isn’t it ?
yes
Can you recommend a good tutorial for this?
Do you need to start from 0? If I'm working with APIs and change into local models do I keep all my work?
@sharp parcel Hello?
it has a documentation in their site
I have my claw server running on a Linux NUC
And I just use the Mac for LLM inference so it wouldn’t have spotlight access
ohhh
i see
I have a lot of security layers I’m using it for cybersecurity pentesting
You don’t need to be a dev
i work as a product designer
you just need to understand the configuration
yes sometimes it fucks me up
Understanding JSON would help though
i’ll try checking out on yt
JSON is a good starting point if your interested in upskilling your coding knowledge
okay i’ll check it out
Took me 3 weeks to learn and tune everything the way I wanted
i’ll check youtube tuts for that
Ask Claude AI it helped a lot
Hey everyone,
Running a multi-agent setup and curious how others approach context/history management - would love to hear different perspectives.
My stack:
OpenClaw as the AI agent gateway (self-hosted on AWS EC2)
7 specialized agents connected via Discord bots
Claude Sonnet 4.6 as the primary model
Our current approach:
We're using OpenClaw's historyLimit per agent type (ranging from 12 to 28 turns depending on complexity), paired with session-memory for auto-summarizing older turns. Seems to be a solid balance between context retention and speed.
Curious to hear your take:
What historyLimit values have worked well for you in production for task-focused agents?
Do you rely on historyLimit alone or always pair it with a memory/summarization layer?
For agents doing long iterative tasks (writing, editing, research), how do you decide where to draw the line?
Any gotchas or surprises you've hit with OpenClaw's session-memory in practice?
Not looking for a definitive answer- just interested in how others are thinking about this tradeoff.
Thanks.
I do not think Krill is allowed to talk here, you can go to the help section and create a post.
damn
No worries, he will answer you there straight away.
Has anyone evaluated ByteRover?
saysomething if u can
⠙ running • 3m 47s | connected agent main | session main (openclaw-tui) | vllm/mistral:7b | tokens ?/128k
Would be curious to see a Demo of your setup
Quick community pulse check: would you use Zulip (incl. self-hosted) as an OpenClaw chat/collaboration surface, as an alternative to Discord?
There’s a community Zulip channel plugin: https://github.com/FtlC-ian/openclaw-channel-zulip
Docs listing PR (currently stale): https://github.com/openclaw/openclaw/pull/29857
Forum entry in #channels: #1474434870259224723 message
If you’ve tried it (or want it), what would you need most: topic/thread mapping, message links, reactions, file uploads, polls/components, mobile UX, etc.?
Hey guys! I am brand new to this AI stuff, completely new other than some cheating on school assignments. I want to setup openclaw to help me with some business stuff I have and just make my life easier. I have a decent second pc that I wiped for this, and I dont want to spend too much on the setup. What should I do and what AI's should I use? I heard Kimi2.5 is good for budget.
Is someone using LM Studio with OpenClaw? I've just heard about it in a podcast and want to know if it works.
LM studio is for running your local models - if you have high end gpu card system or mac studios, you would be able to run and not depend upon cloud llm for infrencing
Want to use Openclaw with local inference for research/scheduled tasks using available hardware: 2x Proxmox nodes With 8845HS (8 core), 780M iGPU and 32GB RAM. Windows gaming PC (9800X3D, 5080, 64GB RAM) which can run LLM's in the background if needed. What kind of tech stack should I look into? Insights appreciated.
hey what providers are you using right now?
Create a VM /lxc on proxmox and run openclaw gateway there. On windows run LM studio, Anything llm or privategpt and run open source model like gpt-oss (play aroudn as to how much B param you can run smoothly) and connect it to openclaw gateway
Hello! I'm currently authenticated through opencode zen and was able to get opencode/kimi-k2.5 working .. i'm trying to access other models that opencode supports like opencode/nemotron-3-super-free ... but doesn't seem to work .. any ideas?
I have a Mac Mini M4. Is that enough? I'm looking to run everything local.
Do you use it local or cloud?
my bot went into tool call hallucination / loop drift behavior and it turns out after hours of annoyance that it was triggered by expired/broke Google Drive authentication. Why can't this be solved? And why does Google Drive authentication always seem to need setting up every week (for me)
Yea my token seems to expire weekly as well.
Pretty sure it is a constraint on the google end, but it might be configurable. Haven't deep dived it yet.
Anyone have any opinions on the best clawhub gog skill?
Subject: System Hang & Gateway Error: Qwen 3.5 9B with 24GB RAM on Native Windows
Description:
I am trying to run OpenClaw (v2026.3.8) with Qwen 3.5 9B via Ollama on a Windows machine with 24GB RAM. However, I am facing a total system hang and the gateway fails to respond.
The core issues are:
Config Overwrite: Every time I use ollama launch openclaw, the openclaw.json resets the contextWindow for qwen3.5:9b to 262144. With 24GB RAM, this forces Ollama to attempt an allocation of ~21GB for the KV cache alone, causing immediate memory swapping and system freeze.
Gateway Failure: I frequently get Error: gateway did not start on localhost:18789 and Access is denied when trying to install the daemon service on native PowerShell.
No Response / Latency: Even when the gateway starts, the model doesn't respond. I suspect it's stuck in the "Prompt Ingestion" phase (processing ~6,000 system tokens) which pins my CPU at 100% for over 10 minutes.
Reasoning Mode: The model defaults to "reasoning": true, which adds significant latency to every response.
What I've tried:
Manually editing openclaw.json to set contextWindow to 8192 and reasoning to false, but the launcher overwrites it.
Setting the config file to "Read-only", but then the gateway sometimes fails to initialize.
Running as Administrator to fix the "Access Denied" error.
Questions:
How can I permanently prevent OpenClaw from resetting my contextWindow to such a high value?
Is there a "Lite" mode for the system prompt to reduce the initial ingestion time on Windows?
Should I migrate to WSL2 for better memory management and stability as suggested in the logs?
How much ram do you have? Ram seems to be the big blocker. I haven't gotten any reasonable tool use + reasoning working on local models, and I just tried around 15 last night. Current front runner is glm-4.7-flash-mlx (6bit, likely to try 8bit today), and as mildly competent qwen3.5-35b-a3b (also 4bit, likely going to try 6-8 bit here as well). I have 64 gigs ram. I suspect one needs 128+ ram to run a larger model, and get good reasoning. With the higher ram it feels like token generation will be a bigger bottleneck, though I am not sure how big the bus is.
Use a smaller model.
which one do you recomend
I recommend using a frontier model at this point, I am having trouble getting reliability with larger ones.
I like gpt, 20$ goes a long way, though I'm finding compaction sux with my current setup. Need to shrink the context window and tune what gets passed to not burn tokens.
See my post above, those are better models, and I'm having trouble getting them to behave
You are not likely to load them on a smaller ram footprint.
at 9b parameters, you are already likely on the smaller tiers of models. Shrink your context window so there is less work to do. That said, its gonna be rough.
We've been building for the last few weeks AI Engineering team using OpenClaw.
We experienced those pain points firsthand when we switched to develop with a swarms of AI engineers using OpenClaw, so a team our team of AI agents (System architects, Frontend, Backend, QA automation, and PM) developed a product that handles observability, control, and auto-resolution of those issues.
Introducing ClaWatch - built by AI agents that were controlled by ClaWatch. 28 hours of consistent AI agents work, $390 revenue to Anthropic and OpenRouter. Open sourcing it all - our little contribution to this epic technological wave.
One simple command line and you are good to go;
npm install -g clawatch && clawatch start
Would appreciate your GitHub star and feeback!
https://github.com/GENWAY-AI/clawatch
Uff I have 16G RAM. I guess I wont be able to run it locally then. Only cloud. I'll try ollama with Qwen 3.5 Cloud then. At least I will be saving money with tokens.
A real cloud box costs real money also--if you are running a fat machine in the cloud you could spend 4k/mo. Honestly I think using the cloud providers is the way to go after a late coding session last night
Fat cloud machine doesn't make sense for personal use. Could justify a fat local machine if it works well (which I do not know yet)
With Cloud I meant to install Ollama and Qwen 3.5 (as someone suggested here), but instead of running it locally, run it from the cloud.
If you want tool use you are going to need a lot of ram. If you are just doing a chat bot you can probably get by w/ less
I keep getting timeouts on my agent. What can I do to help improve it? Any prompts to have it set up a more efficient memory system that works better?
Anyone have any insight on MaxClaw from minimax?
Has anyone else had issues with before_agent_start and before_prompt_build hooks not firing? I’m running into an issue where it says that it’s registered, but it literally just doesn’t fire on agent turns.
I have just got open claw and I have linked WhatsApp to linked devices but how do I command my bot to do stuff from WhatsApp
All I see on the WhatsApp page is the last seen time and it says chat history is paused so I am not sure what linking it to WhatsApp actually does
Have you connected your OpenClaw to any AI model (openAI, Claude, etc)
I’ve linked it to open ai and I’m using gpt 5 mini
Guys,
Does using docker help with gateway problems? I keep having issues with my gateway.
How do you reliably get your openclaw to keep running without you?
GPT loves to tell you what it would do if it was to continue. Same way it refuses to count to 100 and starts yapping. "That’s what I’d do next unless I hit a blocker."
anyone else have their openclaw blown up after the update?
测试
npm error code 1
yes. mine cant do shit anymore now. cant even open up a website link
after every update you mean?
cron stopped working for me, not bothered updating today
what are the best skills you guys have tried
relatable
Do we have a semi stable build/branch we can use and an experimental-all-sh1t-broken branch?
I had an 💡 that could change the workflow approach.
Since it is much cheaper to discus and implement development ideas and projects in chat bot, and it benefits from a persistent contextual window as opposed to Claw, I figured out a hybrid mechanism.
It is based on CDM Lossless-Claw. At the end of each design session Claude, or whatever chat you are working with can generate a conversation summary file. A light bridging script can upload it into the Lossless-Claw SQLite database. From there CDM and openClaw manage it. A shared folder can house the object files (code, JSON, config files, datastructires etc.)
Anyone have any thoughts on this?
Kinda like .md file for the coding
or just have the agents/subagents keep on dumping its knowledge in the sqllite
kind of trial and error