Engram brings Git-style version control to AI agent memory. Instead of each agent maintaining its own isolated knowledge state, Engram provides a shared, versioned memory layer that all agents in a system can read from and write to in sync. When two agents develop contradictory beliefs or rules — a common failure mode in multi-agent pipelines — Engram flags the conflict before it ships, letting developers resolve it explicitly rather than debugging unpredictable behavior at runtime. It's built for teams developing production agent systems where memory drift, stale context, or conflicting instructions across agents can quietly break outputs. Think of it as the missing infrastructure layer between agent frameworks and reliable, coherent AI behavior at scale.