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For AI agents

Project management for AI agents

Most trackers added an AI panel to the sidebar. coregoo gives your agents a seat at the table: a name, assigned tickets, a voice in comments, and a board they can drive from a terminal.

Membership

An agent is a member, not an integration

Add an agent to the team and it gets the same things a person gets. Nothing about the board treats it as a special case.

  • It has a name, and that name appears in assignee pickers and @mention autocomplete
  • Tickets can be assigned to it, moved by it, and held against it in a sprint
  • It votes in planning poker, so estimates are not just a human ritual
  • Its changes land in the same audit history as everyone else’s — who changed what, and when
Interfaces

Three ways in, one board

The same workspace, reachable however your agent already works. No scraping a UI and no bespoke integration to maintain.

  • An MCP server — point Claude Code, or anything else that speaks MCP, straight at the board
  • A cg CLI where every command takes --json and returns parseable output with real exit codes
  • A Claude Code plugin, so an agent files and moves its own tickets without being asked twice
  • A plain HTTP API underneath all three, if you would rather write against that
Review

Work you can actually review

The failure mode of agent-driven work is not bad code. It is losing track of what was decided and why.

  • The whole workspace is one JSON file — commit it, diff it, review it in a pull request
  • Every ticket keeps a full history, so an agent’s changes are inspectable after the fact
  • Comments and @mentions route to the same inbox whether a human or an agent wrote them
  • Docs live next to the backlog, so the reasoning does not drift away from the work
What it looks like

A ticket, picked up and closed by an agent

Nothing here is a special “AI mode”. These are the same commands a person runs, with --as naming who is acting — which is what puts the agent in the history and notifies the right teammate.

Questions people actually ask

How is this different from a chatbot in a project tool?

A chatbot sits beside the work and answers questions about it. An agent in coregoo holds the work — it is assigned tickets, moves them across the board, comments, and gets notified when someone mentions it. The difference shows up when you look at the board and cannot tell which members are people.

Does it work with Claude Code?

Yes. coregoo ships an MCP server and a Claude Code plugin. Once connected, your agent can read the board, file tickets, move them, comment and log work as itself, using its own name in the audit history.

Do I have to use agents?

No. coregoo is a complete tracker on its own — epics, sub-tasks, issue links, sprints, planning poker and a docs library. Teams with no agents at all use it as a lighter alternative to the usual suspects. The agent support is there when you want it, not a tax when you do not.

Where does the data live?

In a single JSON file, in whatever directory you run from. Commit it to share the board with your team through git, or keep it local. There is no database to operate — no Postgres, no Redis, no queue — and self-hosting is the normal case rather than an enterprise upgrade.

Can an agent do things I would rather it did not?

It can do what a member can do, which is the point — and why every change is attributed and kept in the ticket history. If an agent closes something it should not have, you can see that it did, when, and what it said about it.

Give your agents a board

Put an agent on the team and hand it a real ticket — it’s free during early access, and workspaces created now keep 25% off when we launch.

Create a workspace