Project Trident
Four-tier persistent memory architecture for OpenClaw agents. Implements LCM-backed durability, hierarchical .md file organization, agentic signal routing, a...
MongoDB-backed long-term semantic memory for recalling, storing, searching, and managing facts, decisions, and user preferences across sessions.
This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.
Install skill "OpenClaw MongoDB Semantic Memory" with this command: npx skills add openclaw-memory-skill
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Four-tier persistent memory architecture for OpenClaw agents. Implements LCM-backed durability, hierarchical .md file organization, agentic signal routing, a...
Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <10ms search time.
🌳 记忆树 — 周报自动生成,永久记忆标记,关键词搜索。说句话就能用。
飞书群聊上下文持久化技能。当用户在群聊中说"保存上下文"时保存当前群聊对话;在私聊中会根据用户意图分流到手动群聊存档或其他操作。