Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/vectorize-io/hindsight --skill hindsight-docsAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
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
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/ # Framework and tool integrationsHow 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
# Find specific topics
references/**/configuration.md
references/**/*python*.md
references/**/*deployment*.md2. 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/sdks/
pattern: "def |async def " # Find Python examples3. Read Full Documentation (use Read tool)
references/developer/api/retain.md
references/sdks/python.md
references/sdks/integrations/litellm.mdStart 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.mdKey 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/ and hindsight-docs/docs-integrations/. Run ./scripts/generate-docs-skill.sh to update.



