Hindsight Documentation
Provides comprehensive technical documentation and implementation patterns for the Hindsight biomimetic AI memory system.
This skill equips Claude with the complete knowledge base for Hindsight, an advanced memory framework designed to help AI agents learn and evolve. It includes detailed information on the biomimetic architecture, core operations like retain/recall/reflect, and multi-strategy retrieval methods including semantic, BM25, graph, and temporal search. Developers can use this skill to find SDK integration guides, API endpoint references, and cookbook recipes for building sophisticated, memory-aware AI applications.
Key Features
01Configuration references for Docker, Kubernetes, and environment variables
02Comprehensive guides for Retain, Recall, and Reflect operations
03Practical cookbook recipes for per-user memory and agent dispositions
04Multi-strategy retrieval patterns including semantic and graph-based search
05Implementation guides for Python, Node.js, and Rust SDKs
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Use Cases
01Optimizing agent reasoning using disposition-aware reflection and graph retrieval
02Deploying and configuring the Hindsight API server via Kubernetes or Docker
03Integrating long-term persistent memory into an AI agent workflow