ClawMemory for OpenClaw

Cloud-based semantic memory for AI agents. Give your OpenClaw agent perfect memory with one command.

Installation

openclaw plugins install clawmemory-openclaw

Quick Start

1. Get your API key at clawmemory.dev/dashboard

2. Add to your openclaw.json:

{
  "plugins": {
    "entries": {
      "clawmemory": {
        "config": {
          "apiKey": "cm_your_api_key",
          "autoRecall": true,
          "autoCapture": true
        }
      }
    }
  }
}

3. Restart OpenClaw — that's it!

Features

Auto-Recall

When enabled, relevant memories are automatically injected into your agent's context before each response. Your agent will "remember" past conversations, preferences, and decisions.

Auto-Capture

When enabled, the plugin automatically detects and stores important information from conversations:

• User preferences ("I prefer dark mode")
• Decisions ("We decided to use React")
• Facts ("My name is Alex")
• Tasks ("Remember to deploy tomorrow")
• Events ("Deployed v1.2 to production")

Manual Tools

Your agent also gets two tools for manual memory management:

• memory_store - Store a specific memory
• memory_recall - Search for relevant memories

CLI Commands

# Search memories
openclaw clawmemory recall "user preferences"

# Store a memory
openclaw clawmemory store "User prefers concise responses" --type preference

Configuration Options

| Option | Type | Default | Description | |--------|------|---------|-------------| | apiKey | string | required | Your ClawMemory API key | | autoRecall | boolean | true | Auto-inject relevant memories | | autoCapture | boolean | true | Auto-store important info | | agentId | string | - | Agent identifier (multi-agent setups) | | recallLimit | number | 5 | Max memories to recall | | recallThreshold | number | 0.3 | Min relevance score (0-1) |

Advanced Config Example

{
  "plugins": {
    "entries": {
      "clawmemory": {
        "config": {
          "apiKey": "cm_your_api_key",
          "agentId": "jarvis",
          "autoRecall": true,
          "autoCapture": true,
          "recallLimit": 10,
          "recallThreshold": 0.4
        }
      }
    }
  }
}

How It Works

1. Before each response: ClawMemory searches for memories relevant to the user's message and injects them into the agent's context.

2. After each response: ClawMemory analyzes the conversation for important information (preferences, decisions, facts) and stores them automatically.

3. Semantic search: Unlike keyword search, ClawMemory understands meaning. "What color does the user like?" will find "I prefer dark themes."

Privacy

• All memories are stored in your ClawMemory account
• Memories are isolated per API key
• Use agentId to separate memories between agents
• Delete memories anytime via dashboard or API

Links

• ClawMemory Dashboard
• API Documentation
• GitHub

License

MIT