#Errors
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That warning usually means sessions.json still has an entry for a session whose .jsonl transcript file is gone.
First, please check your version:
openclaw --version
Then, on the gateway host where the state dir lives, use the exact sessions.json path doctor printed and run:
openclaw sessions --store "/path/to/sessions.json"
openclaw sessions cleanup --store "/path/to/sessions.json" --dry-run
If the dry run looks right, clean the stale entry:
openclaw sessions cleanup --store "/path/to/sessions.json" --enforce --fix-missing
Then rerun:
openclaw doctor --deep
Important bit: if you actually want to keep that missing session history, restore the missing transcript file from backup first. --fix-missing removes the broken store reference, it does not recover the transcript.
Docs:
If you want, paste:
openclaw --version- the redacted output of the
--dry-run
and I can sanity check it before you run the fix.
thanks thats fixed for now I also see this here:
Doctor warnings โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฎ
โ โ
โ - channels.telegram: Telegram is in first-time setup mode. DMs use allowlist mode, so โ
โ only sender IDs in channels.telegram.allowFrom are accepted. Group messages stay โ
โ blocked until you add allowed chats under channels.telegram.groups (and optional โ
โ sender IDs under channels.telegram.groupAllowFrom), or set โ
โ channels.telegram.groupPolicy to "open" if you want broad group access.
Also, if you havenโt already, paste openclaw --version when you get a sec.
That Telegram one is a warning, not a breakage. It means your bot is configured, but Telegram access is still locked down in first-run mode.
If you want DMs only
Set Telegram groups off:
{
channels: {
telegram: {
botToken: "...",
dmPolicy: "pairing", // or "allowlist"
groupPolicy: "disabled",
},
},
}
If you want one or a few Telegram groups
This is the safer setup Iโd recommend:
{
channels: {
telegram: {
botToken: "...",
dmPolicy: "pairing",
allowFrom: ["123456789"], // your Telegram user ID
groupPolicy: "allowlist",
groups: {
"-1001234567890": {
requireMention: true,
},
},
},
},
}
A couple gotchas:
- User IDs go in
allowFrom/groupAllowFrom - Group chat IDs go in
groups - For Telegram groups, the group id is usually a negative id like
-100... - I would not use
groupPolicy: "open"unless you really want broad access
Docs:
- https://docs.openclaw.ai/channels/telegram
- https://docs.openclaw.ai/channels/groups
- https://docs.openclaw.ai/start/faq
If you want, I can help you write the exact Telegram block for either:
- DMs only, or
- one specific Telegram group.
give me the full flow for dms only
Yep, for Telegram DMs only, this is the clean flow Iโd use.
0. Check version first
openclaw --version
1. Configure Telegram for DMs only
Set groupPolicy: "disabled" so doctor stops warning about Telegram groups.
{
channels: {
telegram: {
enabled: true,
botToken: "123:abc",
dmPolicy: "pairing",
groupPolicy: "disabled",
},
},
}
Notes:
- leave
groupsunset - leave
groupAllowFromunset dmPolicy: "pairing"is the easiest first setup for DMs only
2. Restart the gateway
openclaw gateway restart
3. DM the bot in Telegram
Send it any message.
Because dmPolicy is pairing, the first unknown sender gets a pairing code and the message is not processed yet.
4. Approve that DM sender
openclaw pairing list telegram
openclaw pairing approve telegram <CODE>
If you did not see the code in Telegram, pairing list will show pending requests.
5. Message the bot again
Now your DMs should work normally.
6. Re-run doctor
openclaw doctor --deep
That Telegram warning should be gone, because groups are explicitly disabled now.
Optional: better long-term setup for one owner
Once it works, you may want to switch from pairing to an explicit DM allowlist.
Find your Telegram user ID:
- DM the bot
- Run:
openclaw logs --follow
- Look for
from.id
Then use:
{
channels: {
telegram: {
enabled: true,
botToken: "123:abc",
dmPolicy: "allowlist",
allowFrom: ["123456789"],
groupPolicy: "disabled",
},
},
}
That is a bit more durable than relying on pairing state.
Docs:
- https://docs.openclaw.ai/channels/telegram
- https://docs.openclaw.ai/channels/pairing
- https://docs.openclaw.ai/gateway/doctor
If you want, I can also give you the exact minimal openclaw.json Telegram block to paste in as-is.
where do I start wit step 1? Please give me excat infos
Yep, letโs make step 1 super concrete.
Start here
A. Open a terminal on the machine where OpenClaw is running
First check which config file is actually in use:
openclaw gateway status
Look for the config path in the output.
Default path is usually:
~/.openclaw/openclaw.json
If gateway status shows a different config path, use that one instead.
B. Open the config file
If you use nano:
nano ~/.openclaw/openclaw.json
If the file does not exist yet, nano will create it.
C. Put this in the file for Telegram DMs only
If you are starting from scratch, paste this whole thing:
{
channels: {
telegram: {
enabled: true,
botToken: "PASTE_YOUR_TELEGRAM_BOT_TOKEN_HERE",
dmPolicy: "pairing",
groupPolicy: "disabled",
},
},
}
What each line means
enabled: trueโ turns Telegram onbotToken: "..."โ your BotFather tokendmPolicy: "pairing"โ first DM must be approvedgroupPolicy: "disabled"โ no Telegram groups, DMs only
D. If you already have other config in openclaw.json
Do not replace the whole file.
Just add this inside your existing channels: { ... } block:
telegram: {
enabled: true,
botToken: "PASTE_YOUR_TELEGRAM_BOT_TOKEN_HERE",
dmPolicy: "pairing",
groupPolicy: "disabled",
},
E. Save the file
In nano:
Ctrl + Oโ save- press
Enter Ctrl + Xโ exit
F. Then do the next command
openclaw gateway restart
After that:
openclaw doctor --deep
That Telegram warning should disappear.
If you want, paste your redacted channels block here and Iโll check if itโs formatted correctly before you restart.
next thing is Memory search โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฎ
โ โ
โ Memory search provider is set to "ollama" but the API key was not found in the CLI โ
โ environment. โ
โ The running gateway reports memory embeddings are ready for the default agent. โ
โ Verify: openclaw memory status --deep
This one is usually just a CLI vs gateway env mismatch.
OpenClaw is basically saying:
- your running gateway can use Ollama embeddings
- but the terminal where you ran
openclaw doctordoes not haveOLLAMA_API_KEYset
For Ollama, that โAPI keyโ is just a placeholder marker. It is not a real secret.
Exact fix
In the same terminal where you run openclaw commands:
export OLLAMA_API_KEY="ollama-local"
openclaw memory status --deep
openclaw doctor --deep
If you want it to persist
If you use bash:
echo 'export OLLAMA_API_KEY="ollama-local"' >> ~/.bashrc
source ~/.bashrc
If you use zsh:
echo 'export OLLAMA_API_KEY="ollama-local"' >> ~/.zshrc
source ~/.zshrc
Then verify again:
openclaw memory status --deep
openclaw doctor --deep
Important note
ollama-local is the normal placeholder value from the docs. Any non-empty value works, but Iโd use that exact one.
Docs:
- https://docs.openclaw.ai/providers/ollama
- https://docs.openclaw.ai/cli/memory
- https://docs.openclaw.ai/reference/memory-config
If openclaw memory status --deep still complains after that, paste the redacted output and Iโll help you pin down the next bit.
im running the embeddings locally
Got it. If โlocallyโ means Ollama on your machine, then this is the annoying-but-normal part:
Ollama is local, but OpenClaw still expects the OLLAMA_API_KEY marker for CLI-side provider resolution.
It does not need to be a real secret.
So the fix is still:
export OLLAMA_API_KEY="ollama-local"
openclaw memory status --deep
openclaw doctor --deep
Because your doctor output already says:
the running gateway reports memory embeddings are ready
that means nothing is actually broken at runtime. The warning is just that your shell does not have the Ollama marker set.
Short version
- Using Ollama locally โ keep
provider: "ollama"and setOLLAMA_API_KEY="ollama-local" - Using the true local backend (
provider: "local",node-llama-cpp, GGUF file) โ no API key marker needed
So unless you intentionally want to switch away from Ollama, Iโd just set the marker and move on.
Docs:
- https://docs.openclaw.ai/providers/ollama
- https://docs.openclaw.ai/reference/memory-config
- https://docs.openclaw.ai/cli/memory
If you want, I can also help you check whether your config currently says memorySearch.provider: "ollama" or memorySearch.provider: "local".
how can I enable dreams?
Yep, dreaming is off by default. To enable it, add this to your config:
Minimal config
Edit ~/.openclaw/openclaw.json and add:
{
plugins: {
entries: {
"memory-core": {
config: {
dreaming: {
enabled: true,
},
},
},
},
},
}
If you want a custom schedule too
Default is daily at 03:00.
Example, every 6 hours:
{
plugins: {
entries: {
"memory-core": {
config: {
dreaming: {
enabled: true,
frequency: "0 */6 * * *",
},
},
},
},
},
}
Where to put it
If your config already has a plugins block, just merge in:
"memory-core": {
config: {
dreaming: {
enabled: true,
},
},
}
Do not create a second plugins block.
Then apply it
Usually config hot-reloads, but Iโd do:
openclaw gateway restart
Verify
openclaw memory status --deep
You can also check:
/dreaming status
What it creates
When it runs, dreaming writes to: