
Hindsight Docs
This is the complete technical documentation for Hindsight, a biomimetic memory system for AI agents. You get everything: the retain/recall/reflect API operations, deployment guides for Docker and Kubernetes, SDKs for Python/Node.js/Rust, and cookbook recipes for common patterns. The docs cover the four parallel retrieval strategies (semantic, BM25, graph, temporal), memory bank configuration with dispositions, and document_id mechanics for conversation threading. Start with best-practices.md for the fastest path to correct integration. The structure is well organized under references/ with API specs, developer guides, SDK docs, and working examples all separated clearly.
- skills.sh installs
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- last updated
- Aug 21, 2026
Install
$ npx -y skills add vectorize-io/hindsight --skill hindsight-docs --agent claude-codeInstalls into .claude/skills of the current project.
Files
Hindsight Documentation Skill
Complete technical documentation for Hindsight - a biomimetic memory system for AI agents.
When to Use This Skill
Use this skill when you need to:
- 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
Documentation Structure
All documentation is in references/ organized by category:
Sponsors
Details
- Repository
- github.com/vectorize-io/hindsight
- Categories
- Documentation, Code Review & Quality
- First seen
- Apr 16, 2026