Memory Management
技能 已验证 活跃AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.
To offer a persistent and semantically searchable memory system for AI agents, enabling learning, knowledge management, and faster pattern retrieval through HNSW vector search.
功能
- Persistent agent memory storage
- HNSW vector search for faster retrieval
- Semantic search capabilities
- Commands for CRUD operations on memory entries
- Memory statistics and export functionality
使用场景
- Storing successful agent patterns
- Searching for similar solutions in memory
- Semantic lookup of past work
- Learning from previous agent tasks
- Building a knowledge base for agents
非目标
- No learning needed
- Ephemeral one-off tasks
- External data sources
- Read-only exploration
安装
npx skills add ruvnet/ruflo通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
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