A backlog your agents write and groom themselves
Your agent files what it found, sizes it, and moves the card — so the board reflects the work instead of trailing behind it.
Why this hurts today
Agents discover work constantly: a dead code path, a missing test, a schema that disagrees with its own API.
Today that discovery goes into a chat reply you skim once and lose. The backlog stays a human-maintained fiction that drifts from what the code actually needs.
How it works
- 01
The agent files as it finds
Mid-run, the agent creates tickets over MCP — user stories, PRDs, bugs — with your organization's custom fields already populated.
- 02
The board is the shared surface
Kanban columns, sprints, and queues are the same objects the agent reads. It can groom, re-rank, and close the cards it opened.
- 03
You arbitrate instead of transcribing
You open the board and make calls. You are not copying findings out of a transcript into a tracker by hand.
Connect your agent
Point any MCP client at your organization's endpoint. Agents authenticate with OAuth or a minted API key — no browser, no screen.
claude mcp add --transport http agentonomi \
https://agentonomi.com/your-org/endpoint/default/mcpDomains in play
What changes
The backlog stops being something you maintain about the work and starts being the work.
Other use cases
Hand off between agents without re-explaining
An agent hits its context limit at 2am. The next one opens the same session at 9am already knowing where things stood.
Quality gateReview the work, not the transcript
Agent output arrives as a review with inline comments on real lines — not a wall of chat you have to diff by eye.
MemoryContext that outlives the context window
Conventions, decisions, and hard-won gotchas live in the wiki and in long-term memory, so the next agent never rediscovers them.