Motleycrew is a Python framework for building multi-agent AI systems, designed for developers and researchers who need to orchestrate complex AI workflows. It simplifies the integration of diverse AI agents and tools, enabling sophisticated task chaining and dynamic knowledge graph utilization for advanced system design.

How It Works

Motleycrew acts as a conductor, managing interactions between AI agents and tools. It leverages Langchain's Runnable API (LCEL) for component compatibility, allowing seamless integration of agents and tools from frameworks like Langchain, LlamaIndex, CrewAI, and Autogen. Tasks are managed via a knowledge graph, facilitating complex flow design through simple rule-based coding or custom task implementations that interact with the graph as a universal data store.

Quick Start & Requirements

• Install via pip: pip install motleycrew
• Requires Python. Specific version not stated.
• Example uses Langchain community tools and OpenAI's DALL-E.
• Documentation: motleycrew Website, Documentation Welcome
• Examples: blog with images, research agent

Highlighted Details

• Integrates agents and tools from Langchain, LlamaIndex, CrewAI, and Autogen.
• Supports Langchain's Runnable API (LCEL) for component compatibility.
• Built-in caching (motleycache) for HTTP requests, including LLM calls.
• Open-source observability support via Lunary.
• Knowledge graph backend for task management and data storage.

Maintenance & Community

• Community Discord server available for support and discussion.
• Open to contributions and feature requests via GitHub issues.

Licensing & Compatibility

• License not explicitly stated in the README.

Limitations & Caveats

The README does not specify the exact Python version requirements or the project's license, which could impact commercial use or integration with closed-source projects.