maestro
Framework for Intelligent Coordination Sub Agent
- Using Anthropic API for AI assisted task decomposition and execution
- Support multiple AI models, including Opus, Haiku, etc
- Through iterative process, continuously refine goals until completion
- Generate detailed task execution logs and save them as Markdown files
- Support custom model and environment variable settings
- Integrated GROQ fast API response and Tavil search functionality
Product Details
Maestro is an intelligent framework for coordinating sub agents that utilizes two AI models, Opus and Haiku, from the Anthropic API to decompose target tasks, execute sub tasks, and ultimately integrate results. This framework supports multiple APIs, including Anthropic, Gemini, OpenAI, etc., and simplifies the model selection process through LiteLLM.
