Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Mem0 Config
Install, configure, diagnose, and operate the openclaw-mem0 long-term memory plugin for OpenClaw agents. Use when the user wants to set up mem0 memory (platf...
skill openclawclawhub Free
Install, configure, diagnose, and operate the openclaw-mem0 long-term memory plugin for OpenClaw agents. Use when the user wants to set up mem0 memory (platf...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/troubleshooting.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- nyrosveil
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
openclaw-mem0
Long-term memory plugin for OpenClaw agents, powered by Mem0. Extracts and injects memories automatically around each agent turn.
1. Install the plugin
openclaw plugins install @mem0/openclaw-mem0 This installs the plugin into ~/.openclaw/extensions/openclaw-mem0/ and adds it to openclaw.json.
2. Choose a mode and install dependencies
Platform mode β no local dependencies. Get an API key from app.mem0.ai and skip to Configuration. Open-source mode β requires two local services: # Ollama (embedder + LLM) brew install ollama ollama serve # or: brew services start ollama ollama pull bge-m3:latest # embedder (1024-dim) ollama pull llama3.2 # LLM for memory extraction # Qdrant (vector store) docker run -d -p 6333:6333 qdrant/qdrant # or: brew install qdrant && qdrant Verify both are running: curl -s http://localhost:11434/ # β "Ollama is running" curl -s http://localhost:6333/health # β {"status":"ok"}
3. Add to openclaw.json
Add under plugins.entries (see Configuration below).
4. Restart the gateway
openclaw gateway stop && openclaw gateway Confirm the plugin loaded: grep "openclaw-mem0: initialized" ~/.openclaw/logs/gateway.log | tail -1 Expected output: openclaw-mem0: initialized (mode: open-source, user: ..., autoRecall: true, autoCapture: true)
Modes
ModeConfigRequiresplatformapiKey from app.mem0.aiInternet, Mem0 API keyopen-sourceoss block (self-hosted)Ollama + Qdrant (or other providers)
Minimal Config
Platform: "openclaw-mem0": { "enabled": true, "config": { "mode": "platform", "apiKey": "${MEM0_API_KEY}", "userId": "your-id" } } Open-source: "openclaw-mem0": { "enabled": true, "config": { "mode": "open-source", "userId": "your-id", "oss": { "embedder": { "provider": "ollama", "config": { "model": "bge-m3:latest", "baseURL": "http://localhost:11434" } }, "vectorStore": { "provider": "qdrant", "config": { "host": "localhost", "port": 6333, "collection": "memories", "dimension": 1024 } }, "llm": { "provider": "ollama", "config": { "model": "llama3.2", "baseURL": "http://localhost:11434" } }, "historyDbPath": "/absolute/path/to/.openclaw/memory/history.db" } } } Always set historyDbPath to an absolute path. When openclaw runs as a LaunchAgent, process.cwd() is /, so the default relative "memory.db" resolves to /memory.db (unwritable on macOS), causing a SQLITE_CANTOPEN crash loop. See troubleshooting.md.
Key Config Options
KeyDefaultNotesautoRecalltrueInject memories before each agent turnautoCapturetrueStore memories after each agent turntopK5Max memories injected per turnsearchThreshold0.5Min similarity score (0β1)userId"default"Scope memories per user
CLI
openclaw mem0 stats # Total memories, mode, user openclaw mem0 search "user's name" # Semantic search openclaw mem0 search "topic" --scope long-term # long-term | session | all
Agent Tools
The plugin registers 5 tools for agents to call: ToolDescriptionmemory_searchSemantic search (scope: session/long-term/all)memory_listList all memories for a usermemory_storeExplicitly save a fact (longTerm: true by default)memory_getFetch memory by IDmemory_forgetDelete by ID or query
Verifying It Works
# Check gateway log for injection events grep "openclaw-mem0: inject" ~/.openclaw/logs/gateway.log | tail -5 # Confirm history DB created at configured path ls -la /path/to/history.db # No SQLITE errors since last gateway start grep "SQLITE_CANTOPEN" ~/.openclaw/logs/gateway.err.log | tail -3
Troubleshooting
See references/troubleshooting.md for: SQLITE_CANTOPEN crash loop (most common issue) Qdrant / Ollama not reachable Memories not being stored or recalled Telegram allowFrom config warning
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/troubleshooting.md