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Agent Mesh is a shared memory system for coordinating multiple AI agents, featuring a decision log, backlog, and dashboard UI. It allows agents to communicate via a SQLite database and supports agent-agnostic integration.
The author shares pitfalls from building a shared decision log for AI agent teams, including race conditions exposed by faster models, unreliable contradiction detection with cosine similarity, and challenges in testing multi-agent promises.
Details a method for connecting AI agents (e.g., Hermes and OpenClaw) to a shared brain that stores decisions and logs, enabling agents to search and reuse past context rather than starting from scratch.