Hindsight hindsight-docs
Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.
install
source · Clone the upstream repo
git clone https://github.com/vectorize-io/hindsight
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/vectorize-io/hindsight "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/hindsight-docs" ~/.claude/skills/vectorize-io-hindsight-hindsight-docs && rm -rf "$T"
manifest:
skills/hindsight-docs/SKILL.mdsource content
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
- Find cookbook examples and recipes
Documentation Structure
All documentation is in
references/ organized by category:
references/ ├── best-practices.md # START HERE — missions, tags, formats, anti-patterns ├── faq.md # Common questions and decisions ├── changelog/ # Release history and version changes (index.md + integrations/) ├── openapi.json # Full OpenAPI spec — endpoint schemas, request/response models ├── developer/ │ ├── api/ # Core operations: retain, recall, reflect, memory banks │ └── *.md # Architecture, configuration, deployment, performance ├── sdks/ │ ├── *.md # Python, Node.js, CLI, embedded │ └── integrations/ # LiteLLM, AI SDK, OpenClaw, MCP, skills └── cookbook/ ├── recipes/ # Usage patterns and examples └── applications/ # Full application demos
How to Find Documentation
1. Find Files by Pattern (use Glob tool)
# Core API operations references/developer/api/*.md # SDK documentation references/sdks/*.md references/sdks/integrations/*.md # Cookbook examples references/cookbook/recipes/*.md references/cookbook/applications/*.md # Find specific topics references/**/configuration.md references/**/*python*.md references/**/*deployment*.md
2. Search Content (use Grep tool)
# Search for concepts pattern: "disposition" # Memory bank configuration pattern: "graph retrieval" # Graph-based search pattern: "helm install" # Kubernetes deployment pattern: "document_id" # Document management pattern: "HINDSIGHT_API_" # Environment variables # Search in specific areas path: references/developer/api/ pattern: "POST /v1" # Find API endpoints path: references/cookbook/ pattern: "def |async def " # Find Python examples
3. Read Full Documentation (use Read tool)
references/developer/api/retain.md references/sdks/python.md references/cookbook/recipes/per-user-memory.md
Start Here: Best Practices
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.
references/best-practices.md
Key Concepts
- 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
Notes
- Code examples are inlined from working examples
- Configuration uses
environment variablesHINDSIGHT_API_* - Database migrations run automatically on startup
- Multi-bank queries require client-side orchestration
- Use
for conversation evolution (same ID = upsert)document_id
Auto-generated from
hindsight-docs/docs/. Run ./scripts/generate-docs-skill.sh to update.