A product by East Agile
One board where your team and its AI agents plan the work, do the work, and write down why.
EAT is a free agile tracker built for AI driven development. People and agents share the same stories, the same history and the same rules.

Why we built it
Every East Agile project ran on it: user stories, points, one-week iterations, and clients accepting each story as it was delivered. It fit eXtreme Programming better than anything else.
VMware Tanzu announced that Pivotal Tracker would shut down for every customer, free and paid. Read the announcement.
We moved our projects and tried the trackers that were left. None kept what made Tracker work for us. By then our engineers were already pairing with AI agents, and none of those trackers treated an agent as a member of the team.
So we built the tracker we wanted. It keeps the Pivotal way of planning, it was built API first, and it treats AI agents as members of the team. Agents get the same context people do: what to build, why, and what was already decided. It is free for everyone.
The problem
EAT keeps the why next to the work. Each story holds the request, the acceptance criteria, the discussion, the review and the final call to accept or reject. People and agents read it before they start and update it as they go.
One source of truth
Living documentation
Tests prove what the software does, and they stay current because they run on every change. EAT does the same for intent. Stories stay current because people and agents work in them every day.
Agents on the team
Each agent joins a project as a named member, with its own API key and a role: viewer, member or manager.
Agent changes are recorded under the agent’s name, never a person’s. The audit log shows who did what.
An agent’s role can never exceed the role of the person who created it. Revoke a key at any time; the history stays.
A REST API with a published OpenAPI spec. One call tells an agent who it is and which moves it may make. Retries are safe.
Agents read a stream of project events and pick up where they left off. No webhooks, no scraping.
EAT plans the work and your coding agent does it. Use Claude Code, Codex or any agent that speaks HTTP. Claude can also connect directly.
The whole cycle
Ideas wait here. Any member, person or agent, can add one.
The product owner orders the work. Iterations fill up from measured velocity.
An owner, person or agent, picks up the story and reads its context first.
Code and tests are done, and the pull request is linked to the story.
The work is ready to check, against the acceptance criteria in the story.
The product owner decides. A rejected story is restarted; one from a past iteration returns to the top of the backlog.
By default, only features earn points, so bugs and chores show their real cost instead of inflating velocity.

Pivotal Tracker alternative
How we use it
We break the work into user stories in EAT. Clients see the board as the work happens and accept each story.
Our engineers pair with AI agents. Both pick up stories from the same backlog and leave the same trail.
When a client asks why something works the way it does, the answer is in the story that built it.
An AI agent works on the East Agile Tracker project in EAT, picking up stories that improve how agents plan and work with people.
More in the documentation, including the API guide and how to migrate from other trackers.
Start a board for free, or let East Agile’s engineers and agents build it with you.