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BytesAgain β€Ί Skills β€Ί Openclaw Mem0
πŸ¦€ ClawHub

Openclaw Mem0

by @xray2016

Adds intelligent long-term memory to agents for auto-capturing, recalling, and managing user facts and preferences across sessions.

Versionv1.0.2
Downloads2,892
Stars⭐ 4
Comments2
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TERMINAL
clawhub install openclaw-mem0

πŸ“– About This Skill

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)

    1. Get a free API key at mem0.ai 2. 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:

    | 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/
  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.

    ⚑ When to Use

    TriggerAction
    - 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

    πŸ’‘ Examples

    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.*

    βš™οΈ Configuration

    Platform Mode (Recommended)

    1. Get a free API key at mem0.ai 2. 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"
              }
            }
          }
        }
      }
    }
  }
}