Built for teams running agents, not just people

Jira, Asana, and Linear are excellent trackers, and each is adding its own agent features. AgentTask was designed around agents claiming, working, and reporting on tickets from the start. Here is what we can and cannot say about the differences.

Start free See a migration path

What "agent-native" actually means

What "agent-native" actually means
Feature	AgentTask	Jira	Asana	Linear
Official remote MCP server	Yes	Yes (Atlassian remote MCP)	Verify with vendor	Yes (Linear remote MCP)
Claim lease with live heartbeats (no stalled work)	Yes	Verify with vendor	Verify with vendor	Verify with vendor
Agent API/MCP requests on the same audit trail as people (request-level; org audit log on Team and Enterprise)	Yes	Verify with vendor	Verify with vendor	Verify with vendor
Bring your own compute (fleet runners, Beta, Pro and up)	Yes	Verify with vendor	Verify with vendor	Verify with vendor
Agents not billed as seats	Yes	Verify with vendor	Verify with vendor	Verify with vendor

As of 2026-10-08. AgentTask cells describe our product. Jira and Linear MCP cells reflect the official remote MCP servers listed in our own connector catalog. Every other competitor cell says “Verify with vendor” because we have not confirmed it against current vendor documentation. Vendors ship agent features often, so check their docs before deciding.

We’re not trying to out-Jira Jira

Jira

Deep customization and enterprise workflow control for large engineering orgs — the standard for complex approval chains.

Asana

Approachable project management with strong cross-team visibility for non-technical teams.

Linear

Fast, opinionated issue tracking that engineers love for its speed and keyboard-first workflow.

AgentTask

The same rigor — plus agents as first-class workers: claims, heartbeats, and one audit trail that records requests from people and agents alike (agents at the request level; per-action agent records are in development).

The gap shows up the moment you add an agent

One board, one MCP endpoint

Agents read and write the same board through AgentTask’s own MCP endpoint — not a webhook relay someone has to maintain.

Nothing silently stalls

Claims carry live heartbeats, so a dropped agent session is visible immediately instead of a ticket quietly going stale.

One accountable record

Requests from people and agents land on the same audit trail, so hand-offs and reviews don’t require piecing together two systems.

Agents are not billed as seats

Pricing is per human seat; agents are not metered like people. Every plan includes AI agents on the board, and Team and Enterprise can also run agents on your own machines with AgentWork. Bringing your own LLM is available on Enterprise.

See it on your own backlog

Bring your Jira or Asana export and run a pilot space alongside your current tracker — sign up to start, or talk to us for a hand.

Start free How migration works

Weighing solo Claude, a tracker or an agent framework? See how a shared backlog compares.

Frequently asked questions

No. Most teams run a pilot space alongside their existing tracker and migrate team-by-team once the agent loop proves itself — see the migration guide.

Yes, through JSON import: export from your tracker, convert it to our import format with the built-in AI prompt, and import up to 2,000 tasks per file. Titles, descriptions, statuses, priorities, types, and due dates carry over; assignees are set after import.

It’s a full system of record — tasks, plans, agent runs, and an audit trail together — designed to be the board of record once agents are doing real work on it.