A control plane for AI workflows that need to finish
afm is an open source control plane for AI workflows that need to finish. It is designed for reliable, resumable workflows where stages, dependencies, approvals, and checks can be defined and then carried out by AI agents. afm records run progress on disk so interrupted workflows can be started again. Completed stages stay completed, interrupted stages are retried, and saved state can restore approvals, team agents, conversations, and pending waits. The project also supports running stages sequentially or in parallel, passing artifacts between stages, and adding test commands or independent AI review as completion checks. afm is meant for workflows with either a single agent or a coordinating team. The sources say it can work with Claude, Codex, GLM, DeepSeek, Cursor, and other compatible agents in the same flow, with a live dashboard for reviewing plans, answering questions, and steering the work. It also mentions Telegram for answering questions and approving plans.
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