Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Openclaw Mem0
Adds intelligent long-term memory to agents for auto-capturing, recalling, and managing user facts and preferences across sessions.
skill openclawclawhub Free
Adds intelligent long-term memory to agents for auto-capturing, recalling, and managing user facts and preferences across sessions.
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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
- README.md, README_zh.md, SKILL.md, clawdbot.plugin.json, index.ts, lib/mem0.ts
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- xRay2016
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenClaw Mem0 Plugin
Mem0 integration for OpenClaw. Adds intelligent long-term memory to your agents, allowing them to remember user preferences, facts, and past conversations automatically.
When to use
You want your agent to remember user details (name, job, preferences) across sessions You need "infinite context" by retrieving relevant past interactions You want to build a personalized assistant that learns over time You need both cloud (managed) and self-hosted (local) memory options
Platform Mode (Recommended)
Get a free API key at mem0.ai Add to your OpenClaw config: { "plugins": { "entries": { "openclaw-mem0": { "enabled": true, "config": { "mode": "platform", "apiKey": "your-mem0-api-key", "userId": "default-user" } } } } }
Open-Source Mode (Self-Hosted)
Connect to your own Mem0 instance (requires mem0ai package installed): { "plugins": { "entries": { "openclaw-mem0": { "enabled": true, "config": { "mode": "open-source", "oss": { "vectorStore": { "provider": "chroma", "config": { "collectionName": "memories", "path": "./chroma_db" } } } } } } } }
Usage
This plugin works automatically (Zero-Shot) but also provides manual tools.
Automatic Features
Auto-Recall: Before every agent turn, it searches memory for relevant context and injects it into the system prompt. Auto-Capture: After every agent turn, it analyzes the conversation and stores key facts into memory.
Manual Tools
The agent can proactively call these tools: ToolDescriptionParametersmemory_storeExplicitly save a facttext (string), longTerm (bool)memory_searchSearch memoriesquery (string), scope ("session"|"long-term")memory_getGet memory by IDmemoryId (string)memory_listList all memoriesuserId (string)memory_forgetDelete a memorymemoryId (string) or query (string)
Example
User: "I'm moving to Tokyo next month." Agent automatically captures this fact. (Two weeks later) User: "What's a good restaurant for my farewell dinner?" Agent automatically recalls "User is moving to Tokyo" and suggests a restaurant in their current city.
Plugin structure
openclaw-mem0/ package.json # NPM package config (@xray2016/openclaw-mem0) index.ts # Plugin implementation & tools lib/ # Internal Mem0 client implementation SKILL.md # This file README.md # Detailed documentation
Author
Maintained by @xRay2016. Modified from the original Mem0 OpenClaw integration.
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
3 Docs2 Scripts1 Config
- SKILL.md
- README_zh.md
- README.md
- index.ts
- lib/mem0.ts
- clawdbot.plugin.json