Brain

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Brain acts as a persistent, self-learning memory for AI coding assistants like Claude Code. It overcomes the limitations of starting from scratch with every coding session by tracking errors, remembering solutions, and identifying reusable code modules across all your projects. By employing a Hebbian synapse network, it continuously learns from your development activity, proactively preventing recurring errors, suggesting proven fixes, and promoting code reuse, ultimately accelerating your debugging and development workflow.

Características Principales

• Code Intelligence for discovering and registering reusable modules across projects
• Hebbian Synapse Network for strengthening connections based on use
• Cross-Project Learning and Proactive Prevention of antipatterns
• 1 GitHub stars
• Auto Error Detection via post-tool-use hooks for real-time learning
• Adaptive Error Memory with hybrid search (TF-IDF + vector + synapse boost)

Casos de Uso

• Proactively detecting and preventing common coding antipatterns before they manifest.
• Accelerating error resolution and debugging with AI coding assistants.
• Promoting code reuse and reducing duplication across diverse projects.