Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.
The English summary is being prepared. Showing the original description.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Keep vector memory lean. Prevent token waste from junk memories.
Audit: Check what's in memory
memory_recall query="*" limit=50
Wipe: Clear all vector memory
rm -rf ~/.clawdbot/memory/lancedb/
Then restart gateway: clawdbot gateway restart
Reseed: After wipe, store key facts from MEMORY.md
memory_store text="<fact>" category="preference|fact|decision" importance=0.9
The main source of junk is autoCapture: true. Disable it:
{
"plugins": {
"entries": {
"memory-lancedb": {
"config": {
"autoCapture": false,
"autoRecall": true
}
}
}
}
}
Use gateway action=config.patch to apply.
✅ Store:
❌ Never store:
Set up a monthly wipe + reseed:
cron action=add job={
"name": "memory-maintenance",
"schedule": "0 4 1 * *",
"text": "Monthly memory maintenance: 1) Wipe ~/.clawdbot/memory/lancedb/ 2) Parse MEMORY.md 3) Store key facts to fresh LanceDB 4) Report completion"
}
When using memory_store:
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
The English summary is being prepared. Showing the original description.
Agent islemlerini policy'ye gore denetle. Hassas islem oncesi governance kontrolu calistir. Tetikleyiciler: destructive komut, dosya sistemi erisimi, rate limit, butce kontrolu, trust score yonetimi.
The English summary is being prepared. Showing the original description.
Evaluate and improve AgentSystem learning quality for memory/self-compound jobs. Use when bots forget, write filler summaries, fail to update learnings, or memory quality regresses over time.
The English summary is being prepared. Showing the original description.
Operate and validate AgentSystem live quality alarm (systemd timer + alert state) to keep memory/proactivity/consistency regressions visible in real time.
The English summary is being prepared. Showing the original description.
Audit and improve AgentSystem memory retention, proactive behavior, learning quality, and agent consistency. Use when bots forget context, skip memory writes, wait for explicit prompts, or repeat the same errors across runs.
The English summary is being prepared. Showing the original description.
Audit and remediate AgentSystem cron output hygiene by detecting raw tool logs, stack traces, and noisy summaries. Use when jobs leak 403/429/internal details, summaries are not user-safe, or post-change validation is required.
The English summary is being prepared. Showing the original description.