hindsight-docs▌
vectorize-io/hindsight · updated May 7, 2026
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Complete technical documentation for Hindsight - a biomimetic memory system for AI agents.
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_idfor conversation evolution (same ID = upsert)
Auto-generated from hindsight-docs/docs/. Run ./scripts/generate-docs-skill.sh to update.
How to use hindsight-docs on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add hindsight-docs
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches hindsight-docs from GitHub repository vectorize-io/hindsight and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate hindsight-docs. Access the skill through slash commands (e.g., /hindsight-docs) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★73 reviews- ★★★★★Benjamin Verma· Dec 28, 2024
Solid pick for teams standardizing on skills: hindsight-docs is focused, and the summary matches what you get after install.
- ★★★★★Hassan Torres· Dec 28, 2024
We added hindsight-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★James Smith· Dec 28, 2024
hindsight-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hiroshi Kim· Dec 24, 2024
Registry listing for hindsight-docs matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Chaitanya Patil· Dec 12, 2024
hindsight-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hiroshi Park· Dec 4, 2024
hindsight-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★James Farah· Nov 23, 2024
hindsight-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★James Yang· Nov 19, 2024
I recommend hindsight-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Layla Mensah· Nov 19, 2024
hindsight-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Nikhil Zhang· Nov 19, 2024
Keeps context tight: hindsight-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.
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