Agents fetch the requirements
Agents pull the task and the approved requirements themselves, and file the follow-up work they find back into Orneos.
For teams shipping code with AI agents
Orneos keeps the agreement, your agents’ work and the pull request in one place. Agents start from the approved requirements, each captured run leaves a record, and your review starts from what was decided.
The product
A screen recording of the Orneos web app. One task is found, agreed and picked up, the board keeps working with the network cut, and the agent’s run is read back on the task. Then the same work on the timeline, in the team’s docs and in the numbers.
What changes
Writing code stopped being the bottleneck. Telling agents what matters, knowing what they really did and deciding whether the result is right is where the time goes now. Orneos is built for that part.
Agents pull the task and the approved requirements themselves, and file the follow-up work they find back into Orneos.
Each captured run leaves a record on its task: which checks ran, on which commit, with which result.
The PR opens beside the approved requirements, pinned to the exact commit, with the gaps in plain sight.
Every decision stays tied to the revision it covers, so the next person, or agent, starts from what was agreed.
How it works
Describe the task in your own words. Orneos AI drafts the goal, the acceptance criteria and what is out of scope, or you write them yourself. A person approves that version, and any later change needs approving again.
Your agents connect to Orneos over MCP and start with the task, the agreement and the linked docs, each with its source. With your permission, they also file the follow-up tasks they find.
Runs are captured and linked to the task as they happen. The board shows where agents are working, and each run keeps what was observed apart from what the agent claims.
Open the PR beside the agreement, pinned to the exact commit. Orneos AI sets out the evidence for each requirement and flags what is missing. You decide, and the decision stays traceable.
PR review
Orneos connects to your GitHub repositories and opens the change pinned to the commit you are reviewing. Each agreed requirement shows its evidence, or the lack of it. Findings sit next to the code they cite. Looking at a file never counts as approving it, and your decision covers exactly the revision you inspected.
The workspace
The tasks your agents read and the reviews you make sit next to your board and your docs, in the same workspace.
Early access
We’re onboarding teams one at a time. Bring the agents you already use, and we’ll set it up with you.
Orneos is built by Filip Ilievski, its founder. Early-access requests go to the founder directly.
Orneos is in early access, and capabilities reach teams in stages. See what’s live today
Questions
Claude Code and other agents that support MCP, the standard way agents connect to tools. You connect them with a personal access token. Agents can read tasks and agreements, and with your explicit permission they can also create and update tasks. Run capture starts with Claude Code.
No. The pull request stays in GitHub, and Orneos never edits code or merges. Orneos shows the change beside what was agreed and the evidence for it, and keeps your decision tied to the revision you inspected.
No. Orneos AI helps you draft the agreement and sets out the evidence for each requirement during review, using Anthropic’s models. It points out gaps; it never approves. A person approves or sends back, every time.
Orneos is in early access, and capabilities reach teams in stages. The feature catalogue lists exactly what is live. During onboarding we tell you what is switched on for your team, and where something is not yet, we work through it with you and say which parts were manual.
Agents read and write tasks that live in Orneos, so teams usually start by running one team’s work there. Connections to other trackers are planned. See Integrations.
Nothing, until a company admin allows sharing; sharing the agent’s final reply is a separate choice. Check results record the check you configured, its exit status and the commit state, never its arguments or command text. See Privacy and data.