What does TaskPrio do that Linear does not?

One global priority order across all projects, a native MCP server, a get_next_task primitive with merged context, multi-agent leasing, required results on completion, and open-source self-hosting — all aimed at unattended agent execution rather than team coordination.

TaskPrio vs Linear — for AI agents

Q: Can Linear be used by AI agents?

Linear has a strong GraphQL API and recently added agent features, but it has no built-in get_next_task pull primitive, no task leasing for several agents on one list, and priorities live per team and per cycle rather than as one global order. For deterministic agent autopilot you'd build orchestration on top. TaskPrio provides that natively over MCP and REST.

Q: Is TaskPrio a Linear replacement?

No. Linear is excellent for human engineering teams — cycles, issues, projects, roadmaps. TaskPrio is for the case where you set one priority order and AI agents execute it. A common pattern is humans plan in Linear and agents run work from TaskPrio.

Linear is the gold standard for human engineering teams. TaskPrio is for a different job: one priority queue your AI agents pull from and work top to bottom. Here's how they compare when software does the work.

Open the board — free →

What Linear is great at

Issue tracking, cycles, projects and roadmaps, keyboard-fast triage, team assignment, and a beautiful workflow for shipping software with people. If you're coordinating a team, Linear is excellent — TaskPrio doesn't compete there.

Where it falls short for agents

Linear's model is team- and cycle-centric: priorities and statuses live inside teams and sprints, designed for humans picking up issues. An autonomous agent needs one deterministic "next task" across everything and a way to pull, lease and complete it. Linear has a powerful API, but no native get_next_task, no leasing so several agents can safely share one list, and no single global order — you'd assemble that yourself.

Side by side (for agent work)

Capability	TaskPrio	Linear
One global priority order	Yes	Per-team / per-cycle
Native MCP server	Yes	No
`get_next_task` for agents	Yes	No (GraphQL, DIY)
Multi-agent task leasing	Yes	No
Result-on-completion audit trail	Yes	Comments
Team issues / cycles / roadmaps	No	Best-in-class
Open source / self-host	Yes (MIT)	No
Entry paid price	$10/mo	$8/seat

When Linear is the better choice

Team software development — sprint planning, issue triage, assignees, roadmaps, stakeholder visibility. Reach for TaskPrio when the "team" is your AI agents and you just need to set the order they work in.

Using both

Plan and coordinate humans in Linear; give agents an execution queue in TaskPrio so Claude Code or Cursor can run tasks on autopilot. See the Claude Code setup →

FAQ

Can Linear be used by AI agents?

Via its API with custom code — but no native get_next_task, leasing, or single global order. TaskPrio ships those natively.

Is TaskPrio a Linear replacement?

No — Linear is for human teams; TaskPrio is the agent execution queue. Many teams run both.

Try TaskPrio free → Compare all tools →