How spreading activation beats keyword search for LLM agents

LLM agents are powerful reasoners but poor navigators. They can analyze code, write solutions, and debug problems. But ask them "what does this change affect?" or "what am I missing?" and they're stuck grepping through flat files. I built m1nd to fix this. The idea Instead of searching your data, m1nd activates it. You query a concept, and the graph lights up: connected nodes fire with decaying signal, noise gets cancelled, and the system learns from your feedback.