BrainBox
Hebbian memory for AI agents that learns file patterns, predicts next tools, and saves tokens.
Implements Hebbian learning principles to build associative memory for AI coding agents. Tracks file access patterns, tool usage sequences, and project structures to predict next actions and reduce context overhead. Provides persistent memory across sessions with automatic pattern reinforcement and decay.
Source
Repository: https://github.com/thebasedcapital/brainbox
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