General

hindsight-docs - Claude MCP Skill

Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.

SEO Guide: Enhance your AI agent with the hindsight-docs tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to complete hindsight documentation for ai agents. use this to learn about hindsight architecture, apis... Download and configure this skill to unlock new capabilities for your AI workflow.

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SKILL.md
# 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/
ā”œā”€ā”€ developer/
│   ā”œā”€ā”€ api/          # Core operations: retain, recall, reflect, memory banks
│   └── *.md          # Architecture, configuration, deployment, performance
ā”œā”€ā”€ sdks/
│   ā”œā”€ā”€ *.md          # Python, Node.js, CLI, embedded
│   └── integrations/ # LiteLLM, AI SDK, OpenClaw, MCP, skills
└── cookbook/
    ā”œā”€ā”€ recipes/      # Usage patterns and examples
    └── applications/ # Full application demos
```

## How to Find Documentation

### 1. Find Files by Pattern (use Glob tool)

```bash
# 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)

```bash
# 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
```

## 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 `HINDSIGHT_API_*` environment variables
- Database migrations run automatically on startup
- Multi-bank queries require client-side orchestration
- Use `document_id` for conversation evolution (same ID = upsert)

---

**Auto-generated** from `hindsight-docs/docs/`. Run `./scripts/generate-docs-skill.sh` to update.

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Information

Repository
vectorize-io/hindsight
Author
vectorize-io
Last Sync
3/11/2026
Repo Updated
3/11/2026
Created
2/10/2026

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