Developer Builds Persistent Memory for AI Agents, Finds It Helps Him Too

A software developer created Mycelium, a persistent associative memory system originally designed to help AI agents retain context across sessions, model changes, and project restarts. The tool stores not just transcripts but decisions, dead ends, and the reasoning behind architectural choices, allowing agents to re-orient themselves without starting from scratch. Over time, the developer noticed the system was equally useful for himself, helping him resume complex personal projects after real-life interruptions without losing the mental state required to continue. He argues that many ambitious side projects fail not from lack of interest but because the cognitive cost of reconstruction becomes too high to overcome. The same insight is now informing a separate research experiment exploring whether learned states can exist and be transferred outside their original neural substrate, using fruit-fly neural circuitry as a model.