AI capabilities, knowledge management, and cognitive systems.
- BYOK V6 Migration Guide - LLM service migration (if exists)
- Cognitive Tier System - 5-tier intelligent LLM routing (if exists in root, otherwise reference)
- AI World Model - Knowledge representation
- GraphRAG and Entity Types - Graph-based intelligence
- GraphRAG Ported - GraphRAG implementation
- JIT Fact Provision System - Just-in-time fact retrieval
- Citation System Guide - Citation management
- JIT Verification Quickstart - Quick setup
- JIT Verification Agent Compliance - Compliance checks
- JIT Verification Cache - Caching layer
- Episodic Memory Implementation - Memory system overview
- Episodic Memory Quick Start - Getting started
- Canvas & Feedback Episodic Memory - Canvas-linked memory
- Self-Evolution & Reflection Pool - Agents learn from mistakes, generate skills, optimize capabilities
- Reflection Pool (critique-based mistakes storage)
- Memento-Skills (generate new skills from failures)
- AlphaEvolver (optimize existing skills)
- Integration with episodic memory and graduation
- Agent Graduation Guide - Agent promotion system
- Student Agent Training - Training workflow
- 🆕 Enhanced Governance Integration - Three-layer governance with intelligence systems
- Three-Layer Governance - OPERATIONAL, TACTICAL, STRATEGIC decision layers
- Policy Engine - Context-aware policy evaluation with intelligence data
- Governance-as-a-Service - Multi-tenant governance API
Integration with Intelligence:
- Episode data informs governance graduation decisions
- Policy engine uses memory retrieval for context-aware decisions
- Knowledge graph data validates strategic governance choices
- See VALIDATION_METRICS.md for performance metrics
- LLM Canvas Summaries - AI-generated summaries
- Canvas Agent Learning Integration - Learning from canvas
- Canvas AI Accessibility - AI-readable canvas state
- Canvas State API - State API
- Canvas Quick Reference - Quick reference
- Canvas Recording Implementation - Recording system
- Specialized Canvas Types - Custom components (archived)
- Recording Review Integration - Review workflow
- AI Debug Quick Start - Debug setup
- AI Debug System - Debug architecture
- Error Handling Guidelines - Error patterns
- Error Handling Standard - Standards
- Supervision Implementation - Supervision levels and real-time monitoring
User Request → World Model → Episodic Memory → Knowledge Graph → LLM Response
- Episodic Memory: Past experiences and outcomes
- Business Facts: Verified truths with citations
- Knowledge Graph: Entities and relationships
- Formulas: Business logic and calculations
- Input: User request or data event
- Retrieval: Memory + Knowledge + Facts
- Reasoning: LLM with retrieved context
- Learning: Store experience for future
- Graduation: Update agent maturity
- Memory: Episodic Memory
- Knowledge: World Model
- Graph: GraphRAG
- Facts: JIT Fact Provision
- Learning from Interactions: Memory Integration Guide
- Self-Evolution & Mistakes: Self-Evolution & Reflection Pool ✨ NEW
- Storing Business Knowledge: Citation System Guide
- AI Summaries: LLM Canvas Summaries
- Error Recovery: Error Handling Guidelines
| System | Latency | Notes |
|---|---|---|
| Episodic Recall | ~10-100ms | Temporal vs Semantic |
| Knowledge Graph | ~50-80ms | Local search |
| Reflection Pool | ~50-100ms | Vector similarity search |
| JIT Fact Verification | <500ms | With citation check |
| Canvas Summary | ~2-3s | LLM generation |
| Memento-Skill Generation | ~30-60s | LLM code generation |
| AlphaEvolver Optimization | ~2-5min | Per generation |
- Agent System - Agent governance and learning
- Auto-Dev User Guide - Self-evolving agent capabilities
- Canvas Documentation - Canvas presentations
- API Documentation - Intelligence API endpoints
Last Updated: April 12, 2026