hindsight-docs — community hindsight-docs, hindsight, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Ideal for Advanced AI Agents requiring biomimetic memory systems, such as Cursor, Windsurf, or Claude Code, to enhance their learning capabilities with Hindsight's retain/recall/reflect operations Hindsight: Agent Memory That Learns

vectorize-io vectorize-io
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The hindsight-docs skill by vectorize-io is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Ideal for Advanced AI Agents requiring biomimetic memory systems, such as Cursor, Windsurf, or Claude Code, to enhance their learning capabilities with Hindsight's retain/recall/reflect operations

Core Value

Empowers agents to leverage Hindsight's API server, integrating with Python/Node.js/Rust SDKs, and utilizing retrieval strategies like semantic, BM25, graph, and temporal to optimize their memory management and knowledge retention, all while configuring memory banks and dispositions for enhanced performance

Capabilities Granted for hindsight-docs

Configuring Hindsight architecture for optimized agent memory
Implementing retain/recall/reflect operations for enhanced knowledge retention
Integrating Hindsight with Python/Node.js/Rust SDKs for seamless agent interaction
Setting up the Hindsight API server using Docker, Kubernetes, or pip for scalable deployments
Utilizing retrieval strategies for efficient information retrieval and agent decision-making

! Prerequisites & Limits

  • Requires understanding of biomimetic memory systems and Hindsight architecture
  • Needs configuration of memory banks and dispositions for optimal performance
  • Limited to integration with specified SDKs (Python/Node.js/Rust) and retrieval strategies
Labs Demo

Browser Sandbox Environment

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

Boot Container Sandbox

hindsight-docs

Install hindsight-docs, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

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.

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?

Ideal for Advanced AI Agents requiring biomimetic memory systems, such as Cursor, Windsurf, or Claude Code, to enhance their learning capabilities with Hindsight's retain/recall/reflect operations Hindsight: Agent Memory That Learns

How do I install hindsight-docs?

Run the command: npx killer-skills add vectorize-io/hindsight. 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 architecture for optimized agent memory, Implementing retain/recall/reflect operations for enhanced knowledge retention, Integrating Hindsight with Python/Node.js/Rust SDKs for seamless agent interaction, Setting up the Hindsight API server using Docker, Kubernetes, or pip for scalable deployments, Utilizing retrieval strategies for efficient information retrieval and agent decision-making.

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. Needs configuration of memory banks and dispositions for optimal performance. Limited to integration with specified SDKs (Python/Node.js/Rust) and retrieval strategies.

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. 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.

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