Doriandarko/maestro

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

4357 stars · 646 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Maestro is a Python framework that uses an orchestrator LLM (originally Claude Opus) to break down objectives into sub-tasks, delegate them to subagent models, and refine results into a final output. It supports multiple providers including Anthropic, OpenAI, Gemini, Groq, and local models via Ollama or LM Studio through LiteLLM.

Use cases

• break down a complex objective into sub-tasks executed by LLM subagents
• orchestrate multiple AI models to complete a goal
• run multi-agent workflows with local models via Ollama
• use Claude Opus as an orchestrator with cheaper models as workers
• add web search to subagent task creation with Tavily
• compare orchestration across OpenAI, Anthropic, Gemini, and Groq APIs

When to choose

• you want a lightweight, hackable multi-agent orchestration script in Python
• you need an orchestrator-worker pattern with model flexibility via LiteLLM
• you want to run agent workflows locally with Ollama or LM Studio

When to avoid

• you need a production-grade agent framework with robust error handling and observability
• you require a supported license for commercial use
• you need a polished UI or long-running agent infrastructure

Facets

framework · maturity active

agent-framework llm-inference prompt-engineering rag artificial-intelligence large-language-models developer-tools python cli cross-platform orchestration subagents anthropic claude litellm ollama task-decomposition multi-agent ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Doriandarko/maestro")