hindsight-docs — community hindsight-docs, hindsight, community, ide skills

v1.0.0

About this Skill

Perfect for AI Agent Developers needing comprehensive documentation for biomimetic memory system integration, particularly those working with Hindsight and Python/Node.js/Rust SDKs. Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.

vectorize-io vectorize-io
[0]
[0]
Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
9/11
Quality Score
51
Canonical Locale
en
Detected Body Locale
en

Perfect for AI Agent Developers needing comprehensive documentation for biomimetic memory system integration, particularly those working with Hindsight and Python/Node.js/Rust SDKs. Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.

Core Value

Empowers agents to master Hindsight's architecture and core concepts, including retain/recall/reflect operations, memory bank configuration, and retrieval strategies like semantic, BM25, graph, and temporal, using Docker, Kubernetes, or pip for setup.

Ideal Agent Persona

Perfect for AI Agent Developers needing comprehensive documentation for biomimetic memory system integration, particularly those working with Hindsight and Python/Node.js/Rust SDKs.

Capabilities Granted for hindsight-docs

Configuring Hindsight memory banks and dispositions for optimized performance
Integrating Hindsight with Python, Node.js, or Rust SDKs for seamless development
Implementing effective retrieval strategies using semantic, BM25, graph, or temporal methods

! Prerequisites & Limits

  • Requires understanding of biomimetic memory systems and Hindsight architecture
  • Limited to agents compatible with Python, Node.js, or Rust SDKs
  • Dependent on Docker, Kubernetes, or pip for Hindsight API server setup

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is hindsight-docs?

Perfect for AI Agent Developers needing comprehensive documentation for biomimetic memory system integration, particularly those working with Hindsight and Python/Node.js/Rust SDKs. Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.

How do I install hindsight-docs?

Run the command: npx killer-skills add vectorize-io/hindsight/hindsight-docs. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for hindsight-docs?

Key use cases include: Configuring Hindsight memory banks and dispositions for optimized performance, Integrating Hindsight with Python, Node.js, or Rust SDKs for seamless development, Implementing effective retrieval strategies using semantic, BM25, graph, or temporal methods.

Which IDEs are compatible with hindsight-docs?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for hindsight-docs?

Requires understanding of biomimetic memory systems and Hindsight architecture. Limited to agents compatible with Python, Node.js, or Rust SDKs. Dependent on Docker, Kubernetes, or pip for Hindsight API server setup.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add vectorize-io/hindsight/hindsight-docs. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use hindsight-docs immediately in the current project.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

hindsight-docs

Install hindsight-docs, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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/
├── 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)

bash
1# Core API operations 2references/developer/api/*.md 3 4# SDK documentation 5references/sdks/*.md 6references/sdks/integrations/*.md 7 8# Cookbook examples 9references/cookbook/recipes/*.md 10references/cookbook/applications/*.md 11 12# Find specific topics 13references/**/configuration.md 14references/**/*python*.md 15references/**/*deployment*.md

2. Search Content (use Grep tool)

bash
1# Search for concepts 2pattern: "disposition" # Memory bank configuration 3pattern: "graph retrieval" # Graph-based search 4pattern: "helm install" # Kubernetes deployment 5pattern: "document_id" # Document management 6pattern: "HINDSIGHT_API_" # Environment variables 7 8# Search in specific areas 9path: references/developer/api/ 10pattern: "POST /v1" # Find API endpoints 11 12path: references/cookbook/ 13pattern: "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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