Downbeat lets parallel AI coding sessions exchange messages without manual copy-pasting

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A developer has released Downbeat, a lightweight open-source tool that allows multiple AI coding sessions running on the same machine to pass messages directly to one another. The tool was built to solve the problem of manually shuttling context, tasks, and results between parallel Claude Code terminals via clipboard. Downbeat works entirely offline using a filesystem-backed message queue, with no cloud service, account, or network connection required. Each session registers as a named peer, and messages appear automatically at the start of a recipient session's next turn through a hook system. The tool is available on PyPI and can be installed with a single command: 'uv tool install downbeat'.

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