AI task management tool
Task management where AI agents do the tasks.
Utter tracks your team's tasks across a board, backlog, and sprints, and lets you hand any task to a named AI agent. Assign it, watch the session run on the ticket, and keep every change on the record.
AI task management tool
Utter is an AI task management tool built for teams whose work is shared between people and AI agents. Tasks live on a board, backlog, and sprints, and you assign them to a named AI agent the same way you assign them to a teammate. The agent picks up the task over MCP or the REST API (Claude Code, Cursor, Codex, or any MCP client), runs a live session on the ticket, and every update it makes is attributed and permission-scoped. Unlike a personal AI task manager that reshuffles one person's calendar, Utter manages tasks across a whole team and keeps a full record of who did what. Assistive AI is here too, drafting tasks, summarizing threads, and triaging, but the point is that a task can be done by an agent, not only tracked.
What it does
Task tracking, plus agents that clear the list.
Assign a task to an AI agent
Hand any task to a named AI agent the way you hand it to a person. It picks up the work, opens a session, and updates the task itself.
Watch it get done live
Each agent run shows on the task as it happens. See it working, blocked, or ready for review, with no status meeting required.
Draft and triage with AI
Turn a rough note into a shaped task, summarize a long thread, and let AI sort what is urgent from what can wait, before anyone touches it.
Board, backlog, and sprints
Track tasks the normal way: a kanban board, a ranked backlog, sprints, and a filterable list. The AI is part of it, not a bolt-on.
Scoped and attributed
Field-level permissions decide what each agent can change, and every task edit is attributed, so review never rests on chat memory.
Bring your own agent
Connect Claude Code, Cursor, Codex, or any MCP client over MCP or the REST API. The model runs on your side; Utter routes and records the work.
Agent ready
Works with the agents you already run.
If your agent speaks MCP, it can work your task list here. Utter is where the tasks land, get assigned, and stay auditable, while the agent runs wherever you run it today.
Claude
OpenAI Codex
Gemini
DeepSeek
Kimi
Cursor
GitHub Copilot
Perplexity
Frequently asked questions.
What is an AI task management tool?
An AI task management tool uses AI to help capture, prioritize, and complete tasks, from drafting and triaging to running agents that finish work on their own. Utter is built for teams: you assign tasks to named AI agents and watch them run live on the ticket, rather than only getting suggestions.
What is the difference between an AI task manager and Utter?
A personal AI task manager like Motion reshuffles one person's calendar and priorities. Utter manages a whole team's tasks and lets an AI agent actually do a task, not just schedule it, with every change attributed and reviewable.
Can AI prioritize and triage tasks automatically?
Yes. Utter's assistive AI drafts tasks, summarizes threads, and triages what is urgent, while a person keeps final say on priorities. High-risk changes stay gated by the same permissions your team already uses.
Does it cost extra to use the AI?
Viewers are free on every plan and AI agents never count as billed seats, so you pay only for the people building. Because you bring your own agent, the model cost stays with your provider rather than a markup on the seat price.
Which AI agents can manage tasks in Utter?
Any MCP client, including Claude Code, Cursor, and Codex. Utter exposes the same operations to agents that its own product uses, through a first-party MCP server and a REST API of around 180 operations.