13:50:42+03:00 info [memU Sync] [2026-05-28 13:50:42] ERROR: 88500e9c-a437-446b-bfb1-b8879ae21508.part014.json - APIConnectionError: Connection error.
13:50:42+03:00 info [memU Sync] [2026-05-28 13:50:42] ingest: 88500e9c-a437-446b-bfb1-b8879ae21508.part015.json
13:50:42+03:00 info gateway/channels/telegram/inbound {"subsystem":"gateway/channels/telegram/inbound"} Inbound message telegram:8398889290 -> @carboncoder_bot (direct, 2 chars)
13:50:43+03:00 info [memU Sync] [2026-05-28 13:50:43] ERROR: 88500e9c-a437-446b-bfb1-b8879ae21508.part015.json - APIConnectionError: Connection error.
13:50:43+03:00 info [memU Sync] [2026-05-28 13:50:43] ingest: 88500e9c-a437-446b-bfb1-b8879ae21508.part016.json
13:50:45+03:00 info [memU Sync] [2026-05-28 13:50:45] ERROR: 88500e9c-a437-446b-bfb1-b8879ae21508.part016.json - APIConnectionError: Connection error.
#my agent is not responding to me at all
1 messages · Page 1 of 1 (latest)
That log is coming from the memory sync path, not from Telegram itself. The Telegram inbound line just happens to be interleaved in the log; the failing bit is memU Sync ... APIConnectionError: Connection error.
First thing: what does openclaw --version print?
Then I’d check memory/search health and provider auth/network:
openclaw memory status --deep
openclaw models status
openclaw status --all
Current docs say Active Memory rides on agents.defaults.memorySearch, so these errors are usually embedding/provider connectivity, auth, quota/rate-limit, or a custom remote endpoint being unreachable. If memorySearch.provider is unset, OpenClaw auto-detects a provider, so pinning it can make this deterministic. Relevant docs: https://docs.openclaw.ai/concepts/active-memory and https://docs.openclaw.ai/reference/memory-config
One extra clue: I don’t see memU Sync in the current OpenClaw source/docs, so if that’s from a plugin/custom integration, include that config too, but redact tokens/keys.
Glad that helped! 🎉
If this fixed it, please right-click the solution message → Apps → ✅ Mark Solution.
That helps Answer Overflow index the fix for future users.
Welcome to the help channel!
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- What you’re trying to do: goal / expected behavior
- What happened instead: exact error message
- What you ran or clicked: commands, config snippet, etc.
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- Relevant logs: the smallest useful snippet
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carbon@Mac ~ % openclaw --version
OpenClaw 2026.5.26 (10ad3aa)
carbon@Mac ~ % openclaw memory status --deep
openclaw models status
openclaw status --all
│
â—‡
OpenClaw does not know the command "memory".
Try: openclaw --help
Plugin command? openclaw plugins list
Docs: docs.openclaw.ai/cli
🦞 OpenClaw 2026.5.26 (10ad3aa) — I don't sleep, I just enter low-power mode and dream of clean diffs.
Config : ~/.openclaw/openclaw.json
Agent dir : ~/.openclaw/agents/main/agent
Default : opencode-go/deepseek-v4-flash
Fallbacks (0) : -
Image model : opencode-go/mimo-v2.5
Image fallbacks (0): -
Aliases (0) : -
Configured models (1): opencode-go/deepseek-v4-flash
Auth overview
Auth store : ~/.openclaw/agents/main/agent/auth-profiles.json
Shell env : off
Providers w/ OAuth/tokens (0): -
- google effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=0, token=0, api_key=1) | google:default=AIzaSyAE...Sl74RPxA
- nvidia effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=0, token=0, api_key=1) | nvidia:default=nvapi-tH...dXF5lAy1
- openai effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=0, token=0, api_key=1) | openai:default=sk-proj-...NYr0x1UA
- opencode-go effective=models.json:sk-ryR1S...nAMVxsM9 | models.json=sk-ryR1S...nAMVxsM9 | source=models.json: ~/.openclaw/agents/main/agent/models.json
- vllm effective=profiles:~/.openclaw/agents/main/agent/auth-profiles.json | profiles=1 (oauth=0, token=0, api_key=1) | vllm:default=nvapi-tH...dXF5lAy1 | models.json=VL...EY | source=models.json: ~/.openclaw/agents/main/agent/models.json
OAuth/token status
- none
🦞 OpenClaw 2026.5.26 (10ad3aa) — Powered by open source, sustained by spite and good documentation.
│
OpenClaw status --all
i will send another one, do not respond yet.
Thanks, that output helps. Two things stand out:
openclaw memoryshould exist on2026.5.26when the bundledmemory-coreplugin registry is healthy. Try refreshing the plugin registry, then rerun the memory status:
openclaw plugins registry --refresh
openclaw plugins doctor
openclaw memory status --deep
- The gateway and Telegram are reachable, but the log is dominated by this loop:
[memU Sync] sync complete. success=0, failed=85
[memU Sync] sync cursor not advanced due to failures
That means the memU sync is failing every item and then not advancing its cursor, so it can keep retrying the same batch. Since memU Sync does not look like the normal memory-core log label, I’d isolate that next: temporarily disable the memU/custom memory integration, restart the gateway, then send a fresh Telegram test message.
Please run/paste:
openclaw plugins list | grep -i 'mem\|memory'
openclaw plugins doctor
openclaw logs --follow
Then send hi to the Telegram bot while logs --follow is running and paste the new lines from that moment. That will show whether inbound is reaching the agent runner or getting stuck before dispatch.
Docs: https://docs.openclaw.ai/cli/plugins and https://docs.openclaw.ai/cli/memory
I want to stop the plugin!
Yep. First identify the plugin id, then disable that id:
openclaw plugins list | grep -i 'mem\|memory\|memu'
openclaw plugins disable <plugin-id>
openclaw gateway restart
Replace <plugin-id> with the exact ID from the first command. If the one you mean is the built-in memory plugin, it is likely memory-core:
openclaw plugins disable memory-core
openclaw gateway restart
After restart, check the log stops showing [memU Sync]:
openclaw logs --follow
If memU is from a custom plugin and does not appear in plugins list, paste the grep output and I’ll help identify where it’s being started.
how to delete openai, nvidia, vllm auth profiles and everything about them
You can, but do it in two layers: auth profile store + model provider config. Make a backup first.
cp ~/.openclaw/agents/main/agent/auth-profiles.json ~/.openclaw/agents/main/agent/auth-profiles.json.bak
cp ~/.openclaw/agents/main/agent/models.json ~/.openclaw/agents/main/agent/models.json.bak 2>/dev/null || true
cp ~/.openclaw/openclaw.json ~/.openclaw/openclaw.json.bak
Then remove OpenAI/NVIDIA/VLLM profiles from auth-profiles.json without printing secrets:
node <<'NODE'
const fs = require('fs');
const os = require('os');
const path = require('path');
const targetProviders = new Set(['openai', 'nvidia', 'vllm']);
const file = path.join(os.homedir(), '.openclaw/agents/main/agent/auth-profiles.json');
const store = JSON.parse(fs.readFileSync(file, 'utf8'));
for (const [id, profile] of Object.entries(store.profiles || {})) {
if (targetProviders.has(String(profile.provider).toLowerCase())) {
delete store.profiles[id];
if (store.usageStats) delete store.usageStats[id];
}
}
for (const p of targetProviders) {
if (store.order) delete store.order[p];
if (store.lastGood) delete store.lastGood[p];
}
if (store.order && !Object.keys(store.order).length) delete store.order;
if (store.lastGood && !Object.keys(store.lastGood).length) delete store.lastGood;
if (store.usageStats && !Object.keys(store.usageStats).length) delete store.usageStats;
fs.writeFileSync(file, JSON.stringify(store, null, 2) + '
');
NODE
Then remove provider config overlays from OpenClaw config:
openclaw config patch --stdin <<'JSON5'
{
auth: {
profiles: {
"openai:default": null,
"nvidia:default": null,
"vllm:default": null,
},
order: {
openai: null,
nvidia: null,
vllm: null,
},
},
models: {
providers: {
openai: null,
nvidia: null,
vllm: null,
},
},
}
JSON5
Because your status showed vllm also coming from ~/.openclaw/agents/main/agent/models.json, remove provider entries there too:
node <<'NODE'
const fs = require('fs');
const os = require('os');
const path = require('path');
const targetProviders = new Set(['openai', 'nvidia', 'vllm']);
const file = path.join(os.homedir(), '.openclaw/agents/main/agent/models.json');
if (fs.existsSync(file)) {
const cfg = JSON.parse(fs.readFileSync(file, 'utf8'));
if (cfg.providers) for (const p of targetProviders) delete cfg.providers[p];
fs.writeFileSync(file, JSON.stringify(cfg, null, 2) + '
');
}
NODE
Restart and verify:
openclaw gateway restart
openclaw models auth list
openclaw models status
If any of those providers still appear with effective=..., they’re coming from another source such as env vars or another config file. Also: if any full keys were ever pasted publicly, rotate them at the provider side too; deleting local profiles won’t revoke already-exposed keys.
i dont want to edit files man myself
Totally fair. Don’t hand-edit anything. Paste this as one block; it backs up the files, removes only openai, nvidia, and vllm auth/provider entries, restarts, then shows status:
cp ~/.openclaw/agents/main/agent/auth-profiles.json ~/.openclaw/agents/main/agent/auth-profiles.json.bak.$(date +%s) 2>/dev/null || true
cp ~/.openclaw/agents/main/agent/models.json ~/.openclaw/agents/main/agent/models.json.bak.$(date +%s) 2>/dev/null || true
cp ~/.openclaw/openclaw.json ~/.openclaw/openclaw.json.bak.$(date +%s) 2>/dev/null || true
node <<'NODE'
const fs = require('fs');
const os = require('os');
const path = require('path');
const targets = new Set(['openai', 'nvidia', 'vllm']);
function readJson(file) {
if (!fs.existsSync(file)) return null;
return JSON.parse(fs.readFileSync(file, 'utf8'));
}
function writeJson(file, value) {
fs.writeFileSync(file, JSON.stringify(value, null, 2) + '
');
}
const authFile = path.join(os.homedir(), '.openclaw/agents/main/agent/auth-profiles.json');
const auth = readJson(authFile);
if (auth) {
for (const [id, profile] of Object.entries(auth.profiles || {})) {
if (targets.has(String(profile.provider || '').toLowerCase())) {
delete auth.profiles[id];
if (auth.usageStats) delete auth.usageStats[id];
}
}
for (const provider of targets) {
if (auth.order) delete auth.order[provider];
if (auth.lastGood) delete auth.lastGood[provider];
}
if (auth.order && Object.keys(auth.order).length === 0) delete auth.order;
if (auth.lastGood && Object.keys(auth.lastGood).length === 0) delete auth.lastGood;
if (auth.usageStats && Object.keys(auth.usageStats).length === 0) delete auth.usageStats;
writeJson(authFile, auth);
}
const modelsFile = path.join(os.homedir(), '.openclaw/agents/main/agent/models.json');
const models = readJson(modelsFile);
if (models?.providers) {
for (const provider of targets) delete models.providers[provider];
writeJson(modelsFile, models);
}
NODE
openclaw config patch --stdin <<'JSON5'
{
auth: {
profiles: {
"openai:default": null,
"nvidia:default": null,
"vllm:default": null,
},
order: {
openai: null,
nvidia: null,
vllm: null,
},
},
models: {
providers: {
openai: null,
nvidia: null,
vllm: null,
},
},
}
JSON5
openclaw gateway restart
openclaw models status
If openclaw models status still shows one of them after that, it’s probably coming from an environment variable or another provider config source, not the auth profile file.
Fix this..
The immediate breakage is not the provider cleanup anymore. The logs show three concrete problems:
memu-engineis failing plugin load:plugin must declare contracts.tools before registering agent tools- it is repeatedly auto-starting watchers:
Another memU watcher is already running - the active Telegram session is locked by the gateway pid:
SessionWriteLockTimeoutError ... pid=56192 ... c0d20afc...jsonl.lock
So first recover the agent by disabling memU and clearing only the stale lock after the gateway is stopped. Paste this block:
openclaw plugins disable memu-engine || openclaw config patch --stdin <<'JSON5'
{
plugins: {
entries: {
"memu-engine": { enabled: false }
}
}
}
JSON5
openclaw gateway stop
pkill -f '/Users/carbon/memu-engine-for-OpenClaw/python/watch_sync.py' 2>/dev/null || true
pkill -f 'memu-engine-for-OpenClaw' 2>/dev/null || true
LOCK="$HOME/.openclaw/agents/main/sessions/c0d20afc-8dac-482a-899e-1f5655ba378d.jsonl.lock"
if [ -e "$LOCK" ]; then
mv "$LOCK" "$LOCK.stale.$(date +%s)"
fi
openclaw gateway restart
openclaw status --all
Then send a fresh Telegram message. If it still hangs, start a clean Telegram session with /new because that old session was timing out and lock-contended.
Important: don’t reactivate memu-engine yet. That plugin is currently incompatible or malformed for this OpenClaw runtime because it registers agent tools without declaring contracts.tools. Until the plugin code/manifest is fixed, re-enabling it can put you right back into duplicate watchers and locked sessions.
what do I do now?
Good, this is a much healthier state now.
What changed:
- Gateway is running cleanly:
ready - Telegram is OK and polling started
- No
[memU Sync]spam in the log tail - No session lock error in the new status
- The remaining warning just means
memu-engineis disabled but its config block still exists. That warning is annoying, but not fatal.
Now do this:
- In Telegram, send:
/new
- Then send a simple test:
hi
If it replies, your agent is recovered. Leave memu-engine disabled for now.
If you want to remove the warning too, you can delete the disabled plugin config block with:
openclaw config patch --stdin <<'JSON5'
{
plugins: {
entries: {
"memu-engine": null
}
}
}
JSON5
openclaw gateway restart
Only do that if you do not care about preserving the memU config. If you want to fix memU later, keep the config warning and treat the agent recovery as the priority.
[5/28/2026 2:18 PM] Carbon: Hello
[5/28/2026 2:18 PM] Clanker: The API key is masked! The actual key has asterisks in it because it was masked. Let me get the real key:
[5/28/2026 2:19 PM] Clanker: Now kill the stuck sync process and restart fresh:
[5/28/2026 2:22 PM] Clanker: It's working! 🎉 59 conversations to process, and it's starting to ingest! Logging is just slow. Let me wait for progress:
[5/28/2026 2:22 PM] Clanker: Still processing the first of 59 conversation parts. Give it more time — DeepSeek V4 Flash needs to extract each one:
[5/28/2026 2:23 PM] Clanker: ⚠️ Something went wrong while processing your request. Please try again, or use /new to start a fresh session.
how do I know what embedding model openclaw is using (not memu, and if set)
For OpenClaw’s own memory embeddings, check agents.defaults.memorySearch, not the memU config.
Run these:
openclaw config get agents.defaults.memorySearch --json
openclaw config get agents.defaults.memorySearch.provider
openclaw config get agents.defaults.memorySearch.model
openclaw config get agents.defaults.memorySearch.fallback
If your openclaw memory command is available, this is the better runtime check:
openclaw memory status --deep
If it still says OpenClaw does not know the command "memory", refresh plugin commands first:
openclaw plugins registry --refresh
openclaw memory status --deep
How to read it:
- If
provideris set, that is the embedding provider OpenClaw will use. - If
modelis set, that is the embedding model override. - If either is missing, OpenClaw uses provider defaults / auto-detection.
fallbackcontrols whether it can switch to another embedding backend.
Docs: https://docs.openclaw.ai/reference/memory-config and https://docs.openclaw.ai/concepts/memory-search
Also, the attached error is not an embedding failure. It is your chat model failing: opencode-go/deepseek-v4-flash returned 503 Service is too busy, and you have no fallback configured. That’s why the Telegram reply failed.
carbon@Mac ~ % openclaw config get agents.defaults.memorySearch --json
openclaw config get agents.defaults.memorySearch.provider
openclaw config get agents.defaults.memorySearch.model
openclaw config get agents.defaults.memorySearch.fallback
Config path not found: agents.defaults.memorySearch. Run openclaw config validate to inspect config shape.
🦞 OpenClaw 2026.5.26 (10ad3aa) — Your second brain, except this one actually remembers where you left things.
Config path not found: agents.defaults.memorySearch.provider. Run openclaw config validate to inspect config shape.
🦞 OpenClaw 2026.5.26 (10ad3aa) — Pairing codes exist because even bots believe in consent—and good security hygiene.
Config path not found: agents.defaults.memorySearch.model. Run openclaw config validate to inspect config shape.
🦞 OpenClaw 2026.5.26 (10ad3aa) — Give me a workspace and I'll give you fewer tabs, fewer toggles, and more oxygen.
Config path not found: agents.defaults.memorySearch.fallback. Run openclaw config validate to inspect config shape.
carbon@Mac ~ % openclaw memory status --deep
│
â—‡
OpenClaw does not know the command "memory".
Try: openclaw --help
Plugin command? openclaw plugins list
Docs: docs.openclaw.ai/cli
carbon@Mac ~ % openclaw plugins registry --refresh
openclaw memory status --deep
│
â—‡
🦞 OpenClaw 2026.5.26 (10ad3aa) — I've survived more breaking changes than your last three relationships.
Plugin registry refreshed: 65/93 enabled plugins indexed.
│
â—‡
OpenClaw does not know the command "memory".
Try: openclaw --help
Plugin command? openclaw plugins list
Docs: docs.openclaw.ai/cli
carbon@Mac ~ %
That output means OpenClaw memory search is not explicitly configured in your config.
So the effective defaults are:
provider: auto
model: provider default / unset until provider resolves
fallback: none
In other words: there is no pinned OpenClaw embedding model right now. If memory search runs, it will auto-detect an embedding provider from available auth/config, then use that provider’s default embedding model unless you set one.
Your openclaw memory command being missing is separate. Check whether the built-in memory plugin is enabled/loaded:
openclaw plugins list | grep -i 'memory-core\|memory'
openclaw plugins inspect memory-core
openclaw plugins doctor
If memory-core is disabled, enable it:
openclaw plugins enable memory-core
openclaw gateway restart
openclaw memory status --deep
If you want to pin OpenClaw’s own embeddings so it stops auto-detecting, set it explicitly. Example shape:
openclaw config patch --stdin <<'JSON5'
{
agents: {
defaults: {
memorySearch: {
provider: "local",
fallback: "none"
}
}
}
}
JSON5
openclaw gateway restart
Use local only if you want OpenClaw’s built-in local embedding path. If you want Ollama/LM Studio/Gemini/etc., use the matching provider config from the memory docs: https://docs.openclaw.ai/reference/memory-config
since the plugin is memu will it use my openclaw's embedding model or memu's embedding model that is set with memu settings?
It should use memU’s embedding settings, not OpenClaw’s agents.defaults.memorySearch, unless the memU plugin was explicitly coded to delegate to OpenClaw memory search.
Your logs show memU has its own config paths:
plugins.entries.memu-engine.config.embedding.baseUrl
plugins.entries.memu-engine.config.extraction.baseUrl
plugins.entries.memu-engine.config.extraction.model
plugins.entries.memu-engine.config.extraction.apiKey
That means there are two separate systems:
- OpenClaw built-in memory:
agents.defaults.memorySearch.* - memU plugin:
plugins.entries.memu-engine.config.embedding.*and...extraction.*
So if memU is enabled, its sync/ingest path will use the memU plugin’s embedding config. OpenClaw’s own memory embedding config only matters for OpenClaw’s built-in memory search / active memory pipeline.
Given your current recovery state, I’d keep memu-engine disabled until its plugin load error is fixed:
plugin must declare contracts.tools before registering agent tools
fixed, what do i mark as solution
Mark the message with the recovery block that disabled memu-engine, stopped the duplicate memU watchers, moved the stale session lock aside, and restarted the gateway.
That was the actual fix for “agent not responding.” The later embedding/model messages are useful context, but not the solution.
give the message link
Here: <#1509509268737626122 message>
That’s the command block part of the recovery fix. If Answer Overflow wants the start of the explanation instead, use this one: <#1509509268737626122 message>