About
Muninn addresses the fundamental limitation of stateless AI coding agents by providing a persistent, read-write memory loop. It allows agents to retain context, past decisions, known issues, and learned patterns across multiple coding sessions and projects. By intelligently querying and surfacing only the most relevant information within a strict context budget, Muninn prevents agents from making repetitive mistakes, contradicting past choices, or breaking fragile parts of a codebase. It continuously learns and adapts per-codebase and per-developer, transforming individual AI agents into experienced collaborators capable of building like teams.
