This is the Linux app named Maestro Framework whose latest release can be downloaded as maestrosourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Maestro Framework
DESCRIPTION:
Maestro Framework is a Python framework for orchestrating AI subagents across complex tasks. It breaks a user objective into smaller subtasks, assigns those subtasks to worker models, and refines the results into a final output. The original workflow used Claude Opus and Haiku, while newer variants support Claude 3.5 Sonnet, GPT models, Gemini, Cohere, Groq, LM Studio, and Ollama through different scripts and LiteLLM support. It can maintain context between subtasks so later steps can build on earlier work. The project can also generate exchange logs and save them as Markdown for review. Overall, it is useful for experimenting with multi-agent task decomposition, AI-assisted planning, and model orchestration workflows.
Features
- AI task breakdown into manageable subtasks
- Subagent execution for individual work units
- Final refinement into a cohesive output
- Support for hosted and local model workflows
- Search-enhanced subtask creation options
- Markdown exchange logs for review and documentation
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/maestro-framework.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.