Name: openclaw-mem0-plugin
Author: xRay2016

Imported from xRay2016/openclaw-mem0-plugin (SKILL.md). Install upstream with npx skills add xRay2016/openclaw-mem0-plugin. Copyright stays with the author.

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

Setup

Platform Mode (Recommended)

Get a free API key at mem0.ai
Set environment variables (optional but recommended):
- MEM0_API_KEY: Your Mem0 API Key
- MEM0_HOST: Your Mem0 Host (optional)
Add to your OpenClaw config:

{
  "plugins": {
    "entries": {
      "openclaw-mem0-plugin": {
        "enabled": true,
        "config": {
          "mode": "platform",
          "host": "mem0-platform-host",
          "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-plugin": {
        "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:

Tool	Description	Parameters
`memory_store`	Explicitly save a fact	`text` (string), `longTerm` (bool)
`memory_search`	Search memories	`query` (string), `scope` ("session"\|"long-term")
`memory_get`	Get memory by ID	`memoryId` (string)
`memory_list`	List all memories	`userId` (string)
`memory_forget`	Delete a memory	`memoryId` (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-plugin/
  package.json            # NPM package config (@xray2016/openclaw-mem0-plugin)
  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.

Install openclaw-mem0-plugin and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "xray2016-openclaw-mem0-plugin-openclaw-mem0-plugin", "kind": "skill", "name": "openclaw-mem0-plugin", "description": "Mem0 integration for OpenClaw. Adds intelligent long-term memory to your agents, allowing them to remember user preferences, facts, and past conversations automatically.", "publisher": "xRay2016", "version": "1.0.0", "capabilities": { "domains": [ "general" ], "tags": [ "skill-md", "github" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Mem0 integration for OpenClaw. Adds intelligent long-term memory to your agents, allowing them to remember user preferences, facts, and past conversations automatically." ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/xRay2016/openclaw-mem0-plugin", "path": "SKILL.md", "ref": "4bceddf708eabae451db4afb3a1624eae039d985", "url": "https://github.com/xRay2016/openclaw-mem0-plugin/blob/4bceddf708eabae451db4afb3a1624eae039d985/SKILL.md", "key": "xRay2016/openclaw-mem0-plugin/SKILL.md" } }, "instructions": "# OpenClaw Mem0 Plugin\n\nMem0 integration for OpenClaw. Adds intelligent long-term memory to your agents, allowing them to remember user preferences, facts, and past conversations automatically.\n\n## When to use\n\n- You want your agent to remember user details (name, job, preferences) across sessions\n- You need \"infinite context\" by retrieving relevant past interactions\n- You want to build a personalized assistant that learns over time\n- You need both cloud (managed) and self-hosted (local) memory options\n\n## Setup\n\n### Platform Mode (Recommended)\n\n1. Get a free API key at [mem0.ai](https://mem0.", "cost": { "context_tokens": 794 } }

openclaw-mem0-plugin

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