Lightweight and Flexible Agents and Multi-Agent Chats Using LiteLMM 🤖

[brunocapelao]

🌐 Introducing MiniAutoGen, an open-source library setting new standards for next-gen applications in Large Language Models (LLMs). Celebrated for its lightweight and adaptable design, MiniAutoGen is an indispensable tool for developers and researchers aiming to push the boundaries in conversational AI.

What makes MiniAutoGen stand out? Here's a sneak peek:

🤖 Multi-Agent Dialogues: Craft complex and nuanced interactions with multiple intelligent agents working in unison.

🔀 Agent Coordination: A coordination mechanism that ensures perfect harmony and efficient management.

🛠️ Customizable Agents: Complete freedom to tailor agent behaviors to the needs of your project.

⚙️ Action Pipeline: Streamlining and automating agent operations for easy scalability and simplified maintenance.

🔗 Integration with +100 LLMs: Expand your conversation capabilities with over 100 LLMs, providing intelligent and contextualized responses.

🚀 Why MiniAutoGen? An intuitive interface and a modular architecture ensure creative freedom and adaptability to your project's requirements, with the ease of extensive LLM integration.

Take a look for yourself and start experimenting now on Google Colab: MiniAutoGen on Google Colab

We're excited to see the incredible applications you'll craft with MiniAutoGen. What's your first experiment going to be? Join us on this journey and help shape the future of AI conversations! 🌟

GitHub - brunocapelao/miniAutoGen"

[mongolu]

Interesting.
Seems similarly with Microsoft's own UI (Autogen Studio).
Or I'm mistaken?

[brunocapelao]

Definitely! When considering the most common criticisms directed at AutoGen, particularly its limited flexibility and excessive complexity, I've developed an innovative design that places flexibility at its core. Furthermore, the framework has proven to be highly efficient, both in creating multi-agent chats and in developing autonomous agents, thanks to the inclusion of a robust pipeline in the agents.

This tool stands out as a solution for mediating agent development and integrating with other libraries such as LangChain, Llama_index, among others. With a clearly defined scope, it exclusively focuses on the creation and management of chats and agents, as well as orchestrating conversations and structuring the agents' pipelines.

Take a look in this exemple on Google Colab: MiniAutoGen on Google Colab

[mongolu]

with the help of ChatGPT :)
ho detto che darei un'occhiata al tuo colab. ma è in italiano. non hai nemmeno postato tutto in inglese..

[brunocapelao]

It's in Portuguese! Unfortunately, I develop and test more quickly in Portuguese. I'm sorry for not having translated everything! I'll correct it in the Colab right now!