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AgentPlane is a CLI tool that runs locally on Git repositories, providing explicit governance mechanisms for AI agent-driven development workflows. It enables auditable and trustworthy agent collaboration through visible artifacts such as task statuses, verification records, and deterministic closed loops.
Section 01
AgentPlane is a CLI tool that runs locally on Git repositories, providing explicit governance mechanisms for AI agent-driven development workflows. It enables auditable and trustworthy agent collaboration through visible artifacts such as task statuses, verification records, and deterministic closed loops.
Section 02
With the popularity of AI coding assistants and code agents, development teams face a core challenge: how to maintain control and auditability over code changes while enjoying the efficiency gains from automation. Traditional AI assistant models are often "black-box"—users make requests, agents modify files directly, and the entire process lacks structured records and clear approval nodes. This model is acceptable for individual rapid iteration scenarios, but in environments with team collaboration, strict code reviews, and high compliance requirements, the practice of "letting agents modify files directly" makes it difficult to build trust. Teams need to know: What did the agent do? Why did it do that? Who approved these changes? How to verify the correctness of the results?
Section 03
AgentPlane proposes a completely different paradigm—integrating AI agent workflows into the Git governance system. It does not aim to replace Git, editors, or terminals; instead, it embeds a layer of visible agent workflow operation models into existing repositories, making agent execution inspectable, auditable, and rollbackable. The core idea can be summarized as: Trust comes from visible states. All approvals, task state transitions, verifications, and completion records are stored in the repository, not in the black box of an external hosting platform.
Section 04
AgentPlane introduces a set of explicit artifacts into the repository, making agent work readable for both humans and agents:
Section 05
Policy files located in the repository root directory define the agent work policies for the repository. This includes agent role definitions, work modes, approval processes, code style requirements, etc. It serves as both an entry point for human reviewers to understand agent work rules and a source of behavioral guidelines for the agents themselves.
Section 06
The local agent workspace directory in the repository includes:
The key advantages of this design are locality and inspectability. There is no external hosted control plane involved; all states are stored in the Git system familiar to developers.
Section 07
AgentPlane supports two integration styles to adapt to different collaboration needs:
Direct Mode (Default):
Branch_PR Mode:
.agentplane/tasks/<task-id>/pr/Section 08
AgentPlane models agent work as an explicit task lifecycle, with clear records and approval requirements for each stage:
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