Task Master AI

Open-source task-management layer for AI coding agents. Takes a PRD (or natural-language project description), decomposes it into a structured task list, and dispatches each task to the cheapest model that can handle it via a three-model split (main / research / fallback). Works as a CLI or as an MCP server, so it plugs into Cursor, Cline, Windsurf, VS Code, Roo Code, or Claude Code without changing the host harness.

  • Authors: @eyaltoledano, @RalphEcom
  • License: MIT + Commons Clause
  • Repo: github.com/eyaltoledano/claude-task-master
  • Install: npx task-master-ai init (CLI) or via the host’s MCP marketplace

The three-model split

SlotTypical modelJob
mainAnthropic Sonnet / Opustask generation, decomposition, execution
researchGemini 2.5 Procontext-gathering, library lookups, web research
fallbackGemini 2.5 Flashcheap retries when the main model fails or budget hits

The thesis: most tokens an AI coding agent burns are not hard reasoning — they’re context-loading, file enumeration, library research, and retry loops. Routing those to a cheap model and reserving the expensive model for the actual reasoning step is where the cost wins come from. Pairs naturally with Open-Source Model Integration’s same thesis from the model-substitution angle.

Why it matters

Task Master is a clean instance of the Agentic Harness Primitives tool pool assembly + token budget tracking + agent type system patterns rolled into a single user-facing tool. It’s also one of the cleanest practical implementations of the planning-first thesis (Cole Medin’s pattern, BMAD, meta-prompting) — the PRD-to-task-list step is exactly the planning artifact those frameworks ask for.

Sources

See Also