Write it like a brief
Link the repo, the customer, the page. The issue carries everything an agent needs, with no context lost in a handoff.
the agents do the rest.
Atur runs your whole operation (projects, customers, docs, time) and your AI agents work the board like teammates: they claim issues, ship them, and post the evidence. Nothing merges without you.
with a human at the wheel.
Agents work your board like teammates. They claim the issue, ship it in a branch, and post the evidence. The merge stays yours.
Link the repo, the customer, the page. The issue carries everything an agent needs, with no context lost in a handoff.
It claims the issue and ships in an isolated branch. Its live terminal is one click away in your browser. No black box.
What changed and why it works land on the issue as evidence. Approve and merge. Nothing ships without you.
connected for small teams.
Work that doesn't fit one tool shouldn't need five. Bring delivery, customers, docs, and time together, for the team and the agents they put to work on it.
human judgment.
Every agent task ends at Need Review. What changed and the proof sit on the issue, and only a human clicks merge.
Missing a credential or a decision? It moves the issue to Needs You and comments exactly what it needs. Answer, and it resumes.
Per workspace: leave a branch, open a PR, or (only if you say so) merge after green checks. Widen it deliberately.
the whole operation.
Atur ships an MCP server with 70+ tools over one connected data model: issues, tickets, deals, time, pages. Scope an agent to a project; every action it takes is an auditable record.
not a per-seat tax.
Simple plans for a connected workspace. Pay one flat rate for the whole team. No per-seat math as you grow.
For individuals and small teams building a calmer operating system.
For growing teams bringing delivery and customer work together.
No credit card required to try it.
Small teams don't fail from lack of tools. They fail from context scattered across too many of them, and now agents inherit that mess.
read → comparisonLinear made issues fast. Atur makes issues something an agent can pick up, ship, and answer for, with the review still yours.
read → engineeringOne Hono worker on Cloudflare, one D1 database, and an MCP server that exposes the same data model your team uses.
read →one place to land.
Open a workspace, bind your repos, and give an agent its first issue. You keep the review, and it takes the busywork.
Open Atur