seekdb-memory（查找数据库内存）

SeekDB Memory — Cloud-Native Agent Memory

Persistent long-term memory for OpenClaw agents. Once the m0 plugin is installed, your agent automatically remembers facts across conversations and recalls relevant context before each reply.

What It Does

Memory Tools

Use these tools to manage the agent's long-term memory:

memory_recall

Search memories by semantic similarity. Returns the most relevant memories.

memory_recall query="user's preferred programming language" limit=5

Use when:

• The user asks about something discussed in a previous conversation
• You need context about user preferences, past decisions, or facts
• The user references something with "last time", "before", "remember when"

memory_store

Save an important fact, preference, or decision to long-term memory.

memory_store text="User prefers TypeScript over JavaScript for all new projects" metadata={"category": "preference", "importance": 0.9}

Use when:

• The user states a preference ("I always use...", "I prefer...")
• A decision is made ("Let's go with...", "We decided...")
• The user corrects you ("Actually, it's...", "No, I meant...")
• Important facts are shared (deadlines, names, project details)

memory_forget

Delete a specific memory by ID.

memory_forget id=42

Use when:

• The user asks to forget something
• A memory is outdated or incorrect
• Cleaning up duplicate memories

Automatic Behavior

With default configuration, the agent does NOT need to call tools manually for basic memory operations:

1. Before each conversation: The m0 plugin automatically searches for relevant memories based on the user's message and injects them as context. The agent sees them as <relevant-memories> in the prompt.

1. After each conversation: The m0 plugin automatically extracts key facts from the conversation and stores them. No manual memory_store needed for routine facts.

1. Manual tools are for explicit user requests ("remember this", "forget that", "what did I say about X?").

Experience System

The m0 plugin tracks successful tool-use patterns and distills them into reusable experiences.

experience_detail

View the full description of a distilled experience.

experience_detail id=7

Experiences are automatically injected alongside memories when relevant. They help the agent avoid repeating mistakes and reuse proven approaches.

Best Practices

1. Don't over-store: Auto-capture handles routine facts. Only use memory_store for high-importance items the user explicitly wants remembered.
2. Use metadata: Add category (preference, decision, fact, deadline) and importance (0.0-1.0) to help with retrieval.
3. Trust auto-recall: Don't call memory_recall at the start of every conversation — the plugin already injects relevant context automatically.
4. Respect forget requests: When a user says "forget X", use memory_forget immediately.

Setup

If the m0 plugin is not yet installed, run the setup skill:

/openclaw-m0-setup

Or install manually:

openclaw add m0

Then configure in ~/.openclaw/openclaw.json:

{
  "plugins": {
    "entries": {
      "m0": {
        "enabled": true,
        "config": {
          "apiKey": "ak_your_key_here",
          "baseUrl": "https://your-endpoint",
          "autoCapture": true,
          "autoRecall": true,
          "recallLimit": 10
        }
      }
    }
  }
}

Requirements

• OpenClaw >= 2026.2.2
• m0 plugin installed and configured with a valid API key