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Hindsight Docs

  • 5.4k installs
  • 19.1k repo stars
  • Updated August 4, 2026
  • vectorize-io/hindsight

hindsight-docs is an agent skill for Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and

About

The hindsight-docs skill complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.. 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: How to Find Documentation 1. Find Files by Pattern (use Glob tool) 2. Search Content (use Grep tool) 3. Read Full Documentation (use Read tool) 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 -

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

Hindsight Docs by the numbers

  • 5,426 all-time installs (skills.sh)
  • +288 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #269 of 2,153 Testing & QA skills by installs in the Skillselion catalog
  • Security screen: HIGH risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

hindsight-docs capabilities & compatibility

Capabilities
complete hindsight documentation for ai agents. · understand hindsight architecture and core conce · learn about retain/recall/reflect operations
From the docs

What hindsight-docs says it does

Complete Hindsight documentation for AI agents. Use this to learn about Hindsight architecture, APIs, configuration, and best practices.
SKILL.md
npx skills add https://github.com/vectorize-io/hindsight --skill hindsight-docs

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Listed on Skillselion
Installs5.4k
repo stars19.1k
Security audit2 / 3 scanners passed
Last updatedAugust 4, 2026
Repositoryvectorize-io/hindsight

How do I run hindsight-docs tasks with correct setup and documented commands?

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

Who is it for?

Developers automating hindsight docs via agent-guided SKILL.md workflows.

Skip if: Skip when unrelated tooling already covers the task without this skill's documented flow.

When should I use this skill?

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

What you get

Repeatable hindsight-docs workflows with grounded commands and expected outputs.

  • Memory bank config
  • Retention schema
  • Recall and reflect integration patterns

Files

SKILL.mdMarkdownGitHub ↗

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 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)

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

Related skills

Forks & variants (1)

Hindsight Docs has 1 known copy in the catalog totaling 47 installs. They canonicalize to this original listing.

How it compares

Use hindsight-docs when agents need structured long-term memory with bank taxonomy and auditable reflection, not ephemeral in-context window stuffing alone.

FAQ

Who is hindsight-docs for?

Developers using agents to execute hindsight docs workflows from SKILL.md.

When should I use hindsight-docs?

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

Is hindsight-docs safe to install?

Review the Security Audits panel on this page before installing in production.

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