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openclaw-plugin-memory-pro

v0.0.7

Published

OpenClaw Gateway plugin — enhanced AI memory with vector store, document-level MSA, knowledge graph, collision engine, and executable skills.

Readme

openclaw-plugin-memory-pro

OpenClaw Gateway plugin that adds an enhanced AI memory system — vector store (Memora), document-level MSA, knowledge graph, 7-strategy collision engine, and executable skills with closed-loop evolution.

Installation

openclaw plugins install openclaw-plugin-memory-pro

Configuration

Add to your openclaw.json:

{
  "plugins": {
    "entries": {
      "memory-pro": {
        "enabled": true,
        "config": {
          "pythonPath": "python3",
          "memoryServerPort": 18790,
          "workspacePath": "/path/to/memory-pro-workspace",
          "autoStart": true,
          "contextInjection": true,
          "contextMaxTokens": 2000
        }
      }
    }
  }
}

Config Options

| Option | Type | Default | Description | |--------|------|---------|-------------| | pythonPath | string | "python3" | Path to the Python 3 interpreter | | memoryServerPort | number | 18790 | Port the memory server listens on | | workspacePath | string | "" | Path to the memory-pro workspace (auto-detected if empty) | | autoStart | boolean | true | Auto-start the memory server on gateway load | | contextInjection | boolean | true | Inject recalled memory into agent prompts | | contextMaxTokens | number | 2000 | Max tokens for injected memory context |

Agent Tools

The plugin registers 5 agent tools:

| Tool | Description | |------|-------------| | memory_remember | Store information with automatic routing to Memora, MSA, and Chronos | | memory_recall | Three-layer assembled retrieval with token budget control | | memory_deep_recall | LLM-powered multi-hop deep recall | | memory_collide | 7-strategy attention-aware inspiration collision | | memory_skills | List active skills with utility stats and executable prompts |

Context Injection

When contextInjection is enabled, the plugin hooks into before_prompt_build to automatically recall relevant memories and prepend them to the agent's context.

HTTP Routes

| Route | Auth | Description | |-------|------|-------------| | GET /memory-pro/health | gateway | Plugin + memory server health | | GET /memory-pro/status | gateway | Full memory system status |

Prerequisites

  • Python 3.9+
  • The memory-pro workspace cloned and set up
  • An LLM API key (OpenRouter preferred, xAI fallback)

License

MIT