fleet-workflow provides a portable workflow and tooling for managing a fleet of parallel coding agents. Each agent runs in its own isolated git worktree and is coordinated by a Quartermaster component. It is designed for developers building or experimenting with multi-agent coding systems.
fleet-workflow sits in PulseGate's AI & ML category. It focuses on orchestrating multiple parallel AI coding agents across isolated git worktrees without manual coordination. fleet-workflow is an open-source project aimed at developers. The project is open source (MIT). It ships for the command line, and it can be self-hosted.
Andrew Guo builds and maintains fleet-workflow, and it first shipped in 2026. The project is developed in the open on GitHub with 17 commits in the last 90 days. Among its 3 catalogued features are Parallel Agents, Git Worktrees, and Quartermaster Coordination.
Summary written by a language model from the project’s public pages.
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