Show HN: Aisync, advisory file claims so two AI agents don't edit one repo (github.com)

Aisync, a newly announced tool, enhances collaboration between AI agents like Claude Code, Codex, and Cursor by preventing them from simultaneously editing the same files within a shared coding environment. It operates from a centralized local hub, where agents must first claim files before making any edits. This process mitigates the risk of conflicts—if two agents attempt to claim the same file, one will halt, signaling the other to proceed. A comprehensive journal logs every decision, blocker, and commit, ensuring transparency and a clear record of actions taken by each agent during their session. This development is particularly significant for the AI/ML community as it introduces a structured coordination system that fosters multi-agent collaboration without the complications of mutual interference. By using a hash-chained journal for tracking changes and facilitating real-time updates across agents, aisync offers a robust solution for managing concurrent workflows. The tool emphasizes reliability through features like failure isolation and event-driven synchronization, significantly streamlining the process of managing multiple AI assistant interactions in software development. With Python-based modularity and minimal installation requirements, aisync could become an invaluable asset for teams looking to leverage AI tools efficiently.