BrainBox: Hebbian Memory Architecture for AI Coding Agents

We present BrainBox, a novel memory architecture for AI coding agents that learns behavioral patterns using Hebbian learning and synaptic myelination. Unlike declarative memory systems (Mem0, SuperMemory, OpenMemory, Zep, Letta, LangMem), BrainBox implements procedural memory — learning how agents work rather than what they know.

Keywords

synaptic plasticity, coding agents, token optimization, myelination, Hebbian learning, agent memory, AI agents, spreading activation, procedural memory

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