[GH-ISSUE #1842] I need your help creating an example with Ollama and MiniAutoGen: Lightweight and Flexible Agents for Multi-Agent Chats #47562

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opened 2026-04-28 04:11:56 -05:00 by GiteaMirror · 3 comments
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Originally created by @brunocapelao on GitHub (Jan 7, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/1842

🌐 Hello, amazing community!

I'm exploring the integration of two powerful libraries: MiniAutoGen and Ollama, and I would greatly appreciate your help and insights!

MiniAutoGen is an innovative open-source library designed to take applications with Large Language Models (LLMs) to the next level. Its differentiators are its lightweight and flexible approach, which allows for a high degree of customization.

Here are some notable features of MiniAutoGen:

  • Multi-Agent Dialogues: The ability to create complex and nuanced interactions with multiple intelligent agents operating together.
  • Agent Coordination: A mechanism that ensures harmony and efficient management among the agents.
  • Customizable Agents: Total freedom to shape agent behaviors according to project needs.
  • Action Pipeline: Simplifies and automates agent operations, facilitating scalability and maintenance.
  • Integration with +100 LLMs: Expanding conversational capabilities with over 100 LLMs for intelligent and contextualized responses.

My Challenge: I'm seeking help from the community to develop new integrations and modules.

I Seek Your Help: Do you have examples, tips, or guidance on how I can accomplish this integration? Any insight or shared experience would be extremely valuable!

Check out MiniAutoGen on Google Colab: MiniAutoGen on Google Colab
And here is the GitHub repository for more information: GitHub - brunocapelao/miniAutoGen

I'm looking forward to your ideas and suggestions. Let's shape the future of AI conversations together! 🌟

Originally created by @brunocapelao on GitHub (Jan 7, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/1842 🌐 Hello, amazing community! I'm exploring the integration of two powerful libraries: **MiniAutoGen** and **Ollama**, and I would greatly appreciate your help and insights! **MiniAutoGen** is an innovative open-source library designed to take applications with Large Language Models (LLMs) to the next level. Its differentiators are its lightweight and flexible approach, which allows for a high degree of customization. Here are some notable features of MiniAutoGen: - **Multi-Agent Dialogues**: The ability to create complex and nuanced interactions with multiple intelligent agents operating together. - **Agent Coordination**: A mechanism that ensures harmony and efficient management among the agents. - **Customizable Agents**: Total freedom to shape agent behaviors according to project needs. - **Action Pipeline**: Simplifies and automates agent operations, facilitating scalability and maintenance. - **Integration with +100 LLMs**: Expanding conversational capabilities with over 100 LLMs for intelligent and contextualized responses. **My Challenge**: I'm seeking help from the community to develop new integrations and modules. **I Seek Your Help**: Do you have examples, tips, or guidance on how I can accomplish this integration? Any insight or shared experience would be extremely valuable! Check out MiniAutoGen on Google Colab: [MiniAutoGen on Google Colab](https://bit.ly/47kLwAw) And here is the GitHub repository for more information: [GitHub - brunocapelao/miniAutoGen](https://github.com/brunocapelao/miniAutoGen) I'm looking forward to your ideas and suggestions. Let's shape the future of AI conversations together! 🌟
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@mongolu commented on GitHub (Jan 7, 2024):

You're pretty :)
Are you posting everywhere? You already did it in litellm project.
https://github.com/BerriAI/litellm/discussions/1348

<!-- gh-comment-id:1880094871 --> @mongolu commented on GitHub (Jan 7, 2024): You're pretty :) Are you posting everywhere? You already did it in litellm project. [https://github.com/BerriAI/litellm/discussions/1348](url)
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@brunocapelao commented on GitHub (Jan 9, 2024):

I'm really excited to get help in developing this library and I want to share this news with as many people as possible! My goal is to create an amazing resource for our community, one that can significantly contribute to the growth of Artificial Intelligence.

Alone I can't do anything :(

<!-- gh-comment-id:1883151722 --> @brunocapelao commented on GitHub (Jan 9, 2024): I'm really excited to get help in developing this library and I want to share this news with as many people as possible! My goal is to create an amazing resource for our community, one that can significantly contribute to the growth of Artificial Intelligence. Alone I can't do anything :(
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@mxyng commented on GitHub (Jan 9, 2024):

There's no specific problem or ask here so I'm going to close this issue

<!-- gh-comment-id:1883494297 --> @mxyng commented on GitHub (Jan 9, 2024): There's no specific problem or ask here so I'm going to close this issue
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Reference: github-starred/ollama#47562