Conductor Tasks: Task Manager for AI Development

Transform requirements into actionable tasks, generate implementation plans, track progress, and accelerate development – all powered by AI, directly within your workflow.

Conductor Tasks is an intelligent assistant designed for developers. It integrates seamlessly into your editor (via MCP) or works as a standalone CLI tool, leveraging multiple LLMs to streamline your development process from planning to execution.

Key Features

• AI-Powered Task Generation: Instantly parse Product Requirements Documents (PRDs), markdown files, or even unstructured notes into structured, actionable tasks.
• Intelligent Task Expansion & Planning: Automatically break down complex tasks into detailed subtasks and generate step-by-step implementation plans using context-aware AI.
• Powerful CLI for Automation: Leverage a comprehensive command-line interface for scripting, automation, and use outside of an editor.
• Versatile Task Templating: Create new tasks from predefined or custom templates, standardizing common workflows and saving setup time.
• Visual Task Management: Get a clear overview of your project with Kanban boards, dependency trees, and summary dashboards
• Multi-Provider LLM Flexibility: Works out-of-the-box with OpenAI, Anthropic, Groq, Mistral, Google Gemini, Perplexity, xAI, Azure OpenAI. Easily configure custom/local OpenAI-compatible endpoints (like Ollama or LM Studio). You're not locked into a single provider – choose the best LLM for each specific need.

Why Conductor Tasks?

While many AI-powered task management tools offer valuable assistance, Conductor Tasks is engineered to provide a more comprehensive, flexible, and deeply integrated AI development assistant. Here's how Conductor Tasks stands out:

• True Multi-LLM Architecture for Optimal Results & Cost: Conductor Tasks is built with a foundational multi-LLM strategy, not just as an add-on. It seamlessly integrates with a broad spectrum of providers (OpenAI, Anthropic, Groq, Mistral, Google Gemini, Perplexity, xAI, Azure OpenAI, OpenRouter) and local/custom endpoints (e.g., Ollama, LM Studio). This empowers you to:

  • Select the best LLM for each specific job (e.g., use a powerful model for initalizing, a faster model for summarization, perplexity for research).
  • Optimize costs by routing tasks to the most economical LLM that can perform the job effectively.
  • Avoid vendor lock-in and adapt to the rapidly evolving LLM landscape.

  Unlike systems that may rely heavily on a single primary LLM or offer limited provider choices, Conductor Tasks offers genuine flexibility and strategic LLM utilization at its core.