hindsight-docs

Complete technical documentation for Hindsight - a biomimetic memory system for AI agents. Use this skill when you need to: All documentation is in references/ organized by category: Before reading API docs, read the best practices guide. It covers practical rules for missions, tags, content format, observation scopes, and anti-patterns — the fastest way to integrate correctly. Auto-generated from hindsight-docs/docs/ . Run ./scripts/generate-docs-skill.sh to update. - Understand Hindsight architecture and core concepts - Learn about retain/recall/reflect operations - Configure memory banks and dispositions - Set up the Hindsight API server (Docker, Kubernetes, pip) - Integrate with Python/Node.js/Rust SDKs - Understand retrieval strategies (semantic, BM25, graph, temporal) - Debug issues or optimize performance - Review API endpoints and parameters - Find cookbook examples and recipes - Memory Banks : Isolated memory stores (one per user/agent) - Retain : Store memories (auto-extracts facts/entities/relationships) - Recall : Retrieve memories (4 parallel strategies: semantic, BM25, graph, temporal) - Reflect : Disposition-aware reasoning using memories - document_id : Groups messages in a conversation (upsert on same ID) - Dispositions : Skepticism, literalism, empathy traits (1-5) affecting reflect - Mental Models : Consolidated knowledge synthesized from facts - Code...