A local-first coordination hall for long-running AI collaboration.
A local-first coordination hall built for long-running AI collaboration—keeping state continuous across windows, threads, and collaborators, preserving provenance for every change, and rejecting stale overwrites.
Whether the same AI collaborator is carrying work across windows and threads, or several AI collaborators are working on the same long-running project, the hardest part is rarely “can one task be completed?” It is:
- Will the next window, thread, or collaborator know where the work currently stands? - Why was a decision made, and is it still valid? - Has an outcome actually been accepted? - Can a write silently overwrite an update that somebody else just completed? - When several tasks advance in an interleaved way, can their state, evidence, and next steps remain independent? - After many rounds of iteration, do the code, documentation, and operating rules still describe the same reality? - Can lessons learned in one window or client be reliably discovered, understood, and absorbed by later windows and other clients?
Workhall provides a set of clearly scoped coordination surfaces for these problems, and protects shared state with revision checks, idempotent requests, atomic transactions, post-commit readback, and provenance chains.
It is not another chat transcript, nor a general-purpose project manager or CRUD database. It is a local coordination hall designed for long-running work across changing contexts.
From the project README.
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