maestro
A framework for Claude Opus to intelligently orchestrate subagents.
Maestro is a Python-based AI orchestration framework that enables large language models to autonomously break down complex objectives into manageable sub-tasks and coordinate sub-agents to execute them. Originally designed for Claude Opus, it now supports multiple AI providers including OpenAI GPT, Google Gemini, Groq, and local models via Ollama or LMStudio. The framework uses a three-stage workflow: an orchestrator model decomposes tasks, sub-agent models execute individual pieces with contextual memory, and a refiner model synthesizes results into cohesive output. Developers can deploy sophisticated multi-agent workflows by simply providing a high-level objective and configuring their preferred language models.
Key Features
Use Cases
- 01Automating complex software development projects by decomposing requirements into discrete coding tasks
- 02Research workflows that require breaking down broad questions into specific investigative sub-tasks with web search
- 03Content creation pipelines where outlines are generated first, then sections written independently and refined
- 04Data analysis projects requiring sequential steps of collection, processing, and visualization
- 05Technical documentation generation from high-level specifications through iterative drafting and refinement
- 06Prototype development where architectural planning, implementation, and testing are orchestrated separately
Related Agents
View morehermes-agent
The agent that grows with you
agency-agents
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
openinterpreter
A coding agent for open models like Kimi K3
cline
Autonomous coding agent as an SDK, IDE extension, or CLI assistant.
maestro — FAQ
What is Maestro and how does it work?+
Maestro is an AI orchestration framework that uses one language model to break down objectives into sub-tasks, executes each sub-task with a second model that has memory of previous work, and then uses a third model to refine all results into a final cohesive output. It automates complex workflows by coordinating multiple AI agents in sequence.
How do I install Maestro?+
Clone the repository, install dependencies with 'pip install -r requirements.txt' (or 'pip install litellm' for multi-provider support), and configure your API keys in the script. For local models, install Ollama or LMStudio separately and pull your desired models.
Which AI models and providers does Maestro support?+
Maestro supports Anthropic Claude (Opus, Sonnet, Haiku), OpenAI GPT-4 and GPT-4o, Google Gemini, Cohere, Groq, and local models through Ollama (Llama 3) or LMStudio. Different script variants are provided for each provider, with the LiteLLM version supporting multiple providers simultaneously.
What API keys are required to use Maestro?+
You need API keys for whichever AI provider you choose (Anthropic, OpenAI, Google, Cohere, or Groq). Optionally, a Tavily API key is needed if you want to enable the web search feature. Local model deployments via Ollama or LMStudio require no API keys.
Is Maestro free to use?+
The Maestro framework itself is open source and released under the MIT License. However, using cloud AI providers incurs costs based on their pricing (token usage), while local model execution via Ollama or LMStudio is free after initial setup.
Which AI clients can run Maestro?+
Maestro runs as a standalone Python script from the command line rather than as a plugin for specific AI clients. It orchestrates API calls to your chosen language model providers and can be integrated into custom applications or workflows.
How do I install maestro?+
Open the source repository on GitHub and follow its README. maestro is a agent — MCP Agents Market links you directly to the official repo.
Is maestro free?+
maestro is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.