Skill: frf12/seekdb-memory (version 0.2.1)

--- name: seekdb-memory version: 0.2.1 description: "Cloud-native persistent memory for OpenClaw agents. Auto-captures facts after conversations, auto-recalls relevant context before each reply. Hybrid search (vector + fulltext + RRF + rerank), query rewrite, experience learning — all behind one API key. Use this when the agent needs long-term memory, persistent context, or cross-session recall." metadata: openclaw: emoji: "🧠" requires: env: [] plugins: - m0 --- # 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 | Capability | How It Works | |------------|-------------| | **Auto-Capture** | After each conversation, extracts key facts via LLM and stores them in the cloud | | **Auto-Recall** | Before each reply, searches for relevant memories and injects them as context | | **Hybrid Search** | Vector similarity (HNSW) + fulltext (BM25) + RRF fusion + rerank | | **Query Rewrite** | Resolves pronouns, splits compound questions, expands keywords | | **Experience Learning** | Distills successful tool-use patterns into reusable recipes | | **Cross-Device** | Cloud-native — memories are available from any device, no sync needed | ## 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 ``` memory_forget id=42 ``` Use when: - The user asks to forget something - A memory is outdated or incorrect - Cleaning up duplicate memories ## Automatic Behavior With default configuration, the agent does NOT need to call tools manually for basic memory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. 2. **After each conversation**: The m0 plugin automatically extracts key facts from the conversation and stores them. No manual `memory_store` needed for routine facts. 3. **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: ```bash openclaw add m0 ``` Then configure in `~/.openclaw/openclaw.json`: ```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


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)