Continuous Learning v2
Transforms Claude Code sessions into a self-evolving library of automated behaviors and reusable skills through deterministic observation.
Continuous Learning v2 is an advanced architectural framework for Claude Code that captures patterns from your development sessions using high-reliability hooks. By observing user corrections, tool usage, and repeated workflows, the system generates 'Instincts'—atomic, confidence-weighted behaviors that evolve over time. These instincts are automatically clustered and transformed into specialized agents, custom commands, and reusable skills, allowing Claude to adapt to your specific coding style and project requirements without manual configuration.
Key Features
01Deterministic session observation using PreToolUse and PostToolUse hooks for 100% capture rate.
0261 GitHub stars
03Background pattern detection powered by Claude Haiku to minimize workflow interruption.
04Local-first storage and privacy-focused export/import system for sharing learned patterns.
05Atomic Instinct Model with weighted confidence scoring (0.3 to 0.9) to represent learned behaviors.
06Automated evolution of high-confidence instincts into permanent agents, commands, or skills.
Use Cases
01Automatically codifying team-specific coding standards and architectural patterns through daily interaction.
02Capturing complex, multi-step debugging workflows to create one-click resolution commands.
03Building project-specific 'specialist' agents that learn from developer corrections and repeated tool sequences.