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About hindsight-docs
hindsight-docs
Complete Hindsight documentation for AI agents
hindsight-docs is an agent skill that gives the complete technical documentation for Hindsight, a memory system for AI agents. It is for learning the architecture and core concepts, the retain, recall and reflect operations, and how to configure memory banks and their dispositions. It also covers setting up the Hindsight API server with Docker, Kubernetes or pip, integrating with the Python, Node.js and Rust SDKs, the retrieval strategies, which include semantic, BM25, graph and temporal retrieval, and debugging or tuning performance. The documentation is stored in reference files organised by category, and the skill points the agent to the right one for the question. Use it when you are building an agent that needs persistent memory and want accurate, current answers about how Hindsight works, rather than guesses. It is part of the vectorize-io/hindsight repository on GitHub, which has about 50,000 stars. The listing shows it as free, and it has about 8,700 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/vectorize-io/hindsight --skill hindsight-docs.
- Price
- Free
- Made by
- vectorize-io
- Category
- AI Skills
- Website
- github.com/vectorize-io/hindsight/hindsight-docs