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
9.6K
GitHub stars
60.1K
last updated
Aug 21, 2026

Install

$ npx -y skills add vectorize-io/hindsight --skill hindsight-docs --agent claude-code

Installs 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

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