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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen™ and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency.
| Date | Stars |
|---|---|
| 2026-07-31 | 1503 |
| 2026-08-06 | 1502 |
Today
-1 stars today
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## Star History [](https://star-history.com/#jgravelle/AutoGroq&Timeline) # AutoGroq™ AutoGroq is a groundbreaking tool that revolutionizes the way users interact with AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency. ## NEW THIS WEEK: SKILL GENERATION!  ## Why AutoGroq? AutoGroq was born out of the realization that the traditional approach to building AI agents was backwards. Instead of creating agents in anticipation of problems, AutoGroq uses the syntax of the users' needs as the basis for constructing the perfect AI team. It's how we wished Autogen worked from the very beginning. With AutoGroq, a fully configured workflow, team of agents, and skillset are just a few clicks and a couple of minutes away, without any programming necessary. Our rapidly growing user base of nearly 8000 developers is a testament to the power and effectiveness of AutoGroq.  ## Key Features - **Dynamic Expert Agent Generation**: AutoGroq automatically creates expert agents specialized in various domains or topics, ensuring you receive the most relevant support for your inquiries. - **Dynamic Workflow Generation**: With AutoGroq, you're just minutes away from having a custom team of experts working on your project. Watch our video tutorial to see it in action! - **Natural Conversation Flow**: Engage in intuitive and contextually aware conversations with AutoGroq's expert agents, facilitating a seamless exchange of information. - **Code Snippet Extraction**: AutoGroq intelligently extracts and presents code snippets within a dedicated "Whiteboard" section, making it convenient to reference, copy, or modify code during your interaction. - **Flexible Agent Management**: Customize your panel of expert agents according to your evolving project needs. Add new agents, modify their expertise, or remove them as required. - **Advanced Prompt Rephrasing**: AutoGroq employs sophisticated natural language processing techniques to rephrase user inputs, enhancing clarity and ensuring accurate responses from expert agents. - **Bulk File Upload to Autogen**: With AutoGroq, you can import multiple agents, skills, and workflows into Autogen with a single click, saving you time and effort. - **Support for Multiple LLMs**: AutoGroq supports Groq, ChatGPT, Ollama, and more, making it compatible with a wide range of language models. You can even create your own provider model to integrate with your preferred LLM. - **Skill Integration**: Extend your agents' capabilities by adding custom skills. Simply drop a valid skill file into the skills folder, and it will be automatically available for your agents to use. ## Getting Started To get started with AutoGroq, follow these steps: 1. Install Autogen following Matt Berman's instructions: https://www.youtube.com/watch?v=mUEFwUU0IfE 2. Install Mini-conda: https://docs.anaconda.com/free/miniconda/miniconda-install/ 3. Open a command prompt and run the following commands: md c:\AutoGroq cd c:\AutoGroq conda create -n AutoGroq python=3.11 conda activate AutoGroq git clone https://github.com/jgravelle/AutoGroq.git cd AutoGroq pip install -r requirements.txt streamlit run c:\AutoGroq\AutoGroq\main.py ## Configuration To customize the configurations for your local environment, follow these steps: 1. Create a new file called `config_local.py` in the same directory as `config.py`. 2. Copy the contents of `config_local.py.example` into `config_local.py`. 3. Modify the values in `config_local.py`
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5373ac93f650942a, topic:agents, topic:crewai, desc:ai agents