agent-coherence

Agent-coherence is a critical guard for multi-agent environments that prevents silent data overwrites when multiple agents share and write to the same state. Key features: * Intercepts stale write operations * Denies writes based on outdated reads * Forces re-reading of current state * Provides typed conflict for retry When multiple processes, sessions, or agents modify a shared file, plan, or memory store, a common problem arises: an agent reads an old version, another agent commits a newer version, and then the first agent writes back its stale changes, silently clobbering the more recent updates. Agent-coherence actively detects this condition, preventing the stale write from succeeding. It ensures that any agent attempting to write based on an outdated read is denied, prompting it to re-read the most current version before making its modifications. This protocol guarantees that no work is silently lost. This system functions seamlessly with various orchestrators and model providers, including integration with popular frameworks like LangGraph, CrewAI, and AutoGen. It operates on a single host for multiple concurrent writers and offers experimental cross-host capabilities. The robust design is also open-source and formally verified with TLA+. Agent-coherence is ideal for engineering teams developing complex multi-agent systems where state consistency and data integrity are paramount. It resolves challenges in result coordination and error propagation, ensuring reliable state management for collaborative agent workflows across diverse applications.