AI & Machine Learning
Memory Management
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.
- Publisher / source
- ruvnet/ruflo (found on skills.sh, the CSV list)
- Upstream record
- ruvnet/ruflo
- Version
- Version 2
- Published
- Publication review
- Approved for publication
- Content fingerprint
57ecdd02b6079194e6ddea24443685fc5cbe5e445f3c8a4b1ec4d4f58eb9298e