Clawe – open-source Trello for agent teams
We recently started to use agents to update some documentation across our codebase on a weekly basis, and everything quickly turned into cron jobs, logs, and terminal output. it worked, but was hard to tell what agents were doing, why something failed, or whether a workflow was actually progressing. We thought it would be more interesting to treat agents as long-lived workers with state and responsibilities and explicit handoffs. Something you can actually see and reason about, instead of just tailing logs. So we built Clawe, a small coordination layer on top of OpenClaw that lets agent…
In plain words
Clawe is an open-source coordination platform for managing AI agents working together on tasks. It provides visibility into agent workflows by treating agents as long-lived workers with defined responsibilities and handoff points, rather than as opaque background processes. Built on OpenClaw, Clawe displays agent state, progress, and failures in a visual interface while allowing workflows to pause, retry, and transfer control to humans when needed. It targets teams automating content updates, documentation maintenance, and review processes.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We recently started to use agents to update some documentation across our codebase on a weekly basis, and everything quickly turned into cron jobs, logs, and terminal output. it worked, but was hard to tell what agents were doing, why something failed, or whether a workflow was actually progressing. We thought it would be more interesting to treat agents as long-lived workers with state and responsibilities and explicit handoffs. Something you can actually see and reason about, instead of just tailing logs. So we built Clawe, a small coordination layer on top of OpenClaw that lets agent workflows run, pause, retry, and hand control back to a human at specific points. This started as an experiment in how agent systems might feel to operate, but we're starting to see real potential for it, especially for content review and maintenance workflows in marketing. Curious what abstractions make sense, what feels unnecessary, and what breaks first. Repo: https://github.com/getclawe/clawe
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