AI-powered task management system for Cursor, Windsurf, and other editors.
Drop-in task master for Cursor, Lovable, Windsurf, and Roo code chats.
Taskmaster is an AI-powered task management system designed to integrate directly into AI chat editors like Cursor and Windsurf via MCP. It suits developers building complex energy and sustainability applications who want structured task execution tied to a PRD.
It manages tasks, tracks task dependencies, handles tags and workstreams, and runs research commands through configured LLM providers. You configure a main model, a research model, and a fallback model to execute development workflows straight from your code editor.
It suits developers using AI-assisted editors who need structured tracking for multi-step projects. It does not suit teams not using AI chat editors or those without API keys for supported model providers.
Integrates directly into Cursor, Windsurf, VS Code, and Q CLI via Model Control Protocol.
Tracks relationships between tasks to dictate correct implementation order.
Supports configuring a separate research model like Perplexity alongside your main coding model.
Creates and references a product requirements doc at .taskmaster/docs/prd.txt for context.
The tool itself is free to use, but you must pay for your own API usage across whichever LLM providers you configure, such as Anthropic, OpenAI, or Google.
767 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
Yes, you need at least one API key from a supported provider unless you are using Claude Code CLI or Codex CLI with OAuth.
Cursor, Windsurf, VS Code, and Q CLI are supported via MCP configurations.
Yes, you can define a dedicated research model such as Perplexity alongside your main coding model.
See Zekai first in Google