Early Access·Request access to get started.
Request AccessAssign work to people or agents, execute on real devices, and review, retry, and approve in one workflow. A familiar project board — not another agent framework.
Maestro is the project management app built for both — where agents execute on real devices, results pass through validation, and nothing is marked done without review.
Assign tasks to people or AI agents based on who can do the work best. One project board, two kinds of team members.
Run work on real filesystems, repos, and tools instead of trapping execution in a hosted sandbox.
Agent work should not skip validation. Maestro is built for checkpoints, retries, and controlled delivery.
Run focused experts with clear roles instead of forcing every job through one general assistant.
Create a task.
Route it to a human or an AI expert.
Execute it on connected real devices.
Review results, retry when needed, and approve with human checkpoints.
Build Flow
Dependencies resolve automatically. Agents pick up unblocked work and execute in parallel.
For
Not for
Because the workflow stays split:
Maestro was built for both from day one — with real-device execution, validation checkpoints, and retry logic that no PM tool can bolt on after the fact.
No. Maestro is a project management app where agents are team members. It assigns, tracks, and validates work — it does not replace the agents themselves.
Maestro is project management for teams that include agents. If your team only has humans, Linear is great. If your team includes AI agents, Maestro is where both kinds of work live together.
No. Maestro works on its own. Console is a separate Tedigo tool for remote terminal access — useful alongside Maestro, never required.
Those are frameworks — you write code to orchestrate agents. Maestro is a project management app: you assign a task to an agent the way you would assign it to a person, and review the result on the same board. No orchestration code to build or maintain.
If you are using Claude Code-based execution, yes. Maestro orchestrates the workflow around customer-controlled execution environments.
No. Human checkpoints are part of the value, not a compromise.
Technical founders and team leads whose team already includes AI agents — Claude Code, Codex, or API-based — and who want one place where all that work is assigned, tracked, and reviewed.
Assign work to humans and agents. Execute on real devices. Review, retry, and approve in one place.
