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Claude Task Master

Open Source

Freetask managementclaude codeai agentsopen source

Claude Task Master turns a PRD or project brief into a structured, dependency-aware task list that an AI coding agent can work through step by step. It plugs into Cursor, Lovable, Windsurf, Roo, and Claude Code, keeping agents focused on the next actionable task instead of losing context on large projects. 27,000+ GitHub stars.

What is Claude Task Master?

Claude Task Master turns a product requirements document or a project brief into a structured, dependency aware task list that an AI coding agent can work through in order. Rather than handing an agent a large goal and hoping it holds the thread, you get discrete tasks with their prerequisites recorded, so the agent always has a clear next action and you can see what remains. It plugs into several AI coding tools including Cursor, Lovable, Windsurf, Roo and Claude Code, so it fits whichever editor or agent you already use. The problem it targets is familiar to anyone who has tried to build something substantial with an agent: the work starts well, then drifts as context fills with details from three tasks ago. Breaking the project into tracked units keeps each session scoped and gives you a plan you can inspect and correct yourself.

Who is Claude Task Master for?

This earns its place on a project too large for one session. A feature spanning a dozen files, a migration with an order of operations that matters, a greenfield build where you have a spec and want it executed rather than discussed. The dependency awareness is the part that pays off, since it stops the agent from building something that needs a foundation nobody has laid yet. It also gives you a visible artifact to review, which is easier to correct than a plan living only in a conversation. For a bug fix or a single file change it is more structure than the job needs. It also assumes you can write a reasonable brief, because a vague input produces a vague task list.

How does Claude Task Master compare?

Claude Mem solves the neighboring problem of remembering across sessions, where this one decomposes work into units in the first place. They complement each other well, and a long project benefits from both. OpenHands is an alternative agent rather than a planning layer, so it replaces the tool you would be planning for instead of sitting alongside it. AI Job Search is a useful reference point for what a Claude Code framework looks like when it targets one domain end to end, whereas Task Master is domain neutral and cares only about project structure. Choose Task Master when your agent produces good code but loses the plot on anything large.

Compare with: Claude Mem, OpenHands, AI Job Search

Claude Task Master pricing

The catalog records this as free. It is an open source project you install into your own workflow, so nothing is charged for the tool itself. The cost is the agent usage underneath it. Generating a task list from a brief takes model calls, and so does every task the agent then executes. In practice this often reduces total spend rather than adding to it, because scoped tasks waste less context than one sprawling session that has to be restarted. You still pay your model provider directly.

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Claude Task Master FAQ

Which AI coding tools does Claude Task Master work with?
It integrates with several, including Cursor, Lovable, Windsurf, Roo and Claude Code. The task list is the shared artifact, which is what lets it sit across different tools rather than being tied to one. Check the repository for setup instructions specific to the editor or agent you use.
Do I need a formal PRD to use it?
A formal document is not required, but the quality of the output tracks the quality of the input. A clear brief describing what you are building, the constraints and what done looks like produces a usable task breakdown. A one line idea produces a task list you will spend as long correcting as writing yourself.
How is this different from just writing a to-do list?
It records dependencies between tasks rather than only their order, and it is structured for an agent to consume as it works instead of for a human to read. That means the agent can tell what is unblocked next and you keep an inspectable plan, which is harder to maintain by hand as a project grows.
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