--- title: "Multi-Agent AI - Coding" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3d985dae-d621-4632-a07f-32aa6ed06e86" updated: "2026-11-12" --- # Multi-Agent AI - Coding > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio demo of several AI agents built with Microsoft AutoGen that work together on a coding task. Use it in the browser on Hugging Face or run a copy on your own computer. Multi-Agent AI - Coding is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by bstraehle ## About ### What it is This Space is a Gradio demo of a multi-agent setup built with Microsoft AutoGen, aimed at coding. The agent logic lives in multi\_agent.py and the page that you use is app.py. It runs in the browser on Hugging Face or on your own computer. ### Who it suits Developers who want to see a small AutoGen multi-agent example before building their own. Students of agent systems can read the two Python files to learn how the pieces connect. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Try a multi-agent coding demo in a browser | Giving the agents a small coding task and reading what comes back | | Education | Students of AI agents | Read how AutoGen agents are wired up | Opening multi\_agent.py next to app.py | | Research | Agent researchers | Use it as a small base to adapt | Copying the Space and changing the agent setup | If you want a full coding assistant inside your editor, you can skip it. ### Where to use it - A web browser, on the Space's page at Hugging Face - Windows with Python - macOS with Python - Linux with Python | Use case | Who | What they get back | | --- | --- | --- | | Try a multi-agent coding demo | Developers | A result produced by several agents working together | | Study an AutoGen example | Students | Two short Python files to read | ### How to set it up Online use needs nothing. A copy on your own computer needs a little. - Python on Windows, macOS or Linux - The pip tool, to install the packages from requirements.txt - Nothing at all if you use the Space online, since it runs in the browser 1. Install the Hugging Face hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the pinned version, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download bstraehle/multi-agent-ai-autogen-coding --repo-type space --local-dir multi-agent-ai-autogen-coding cd multi-agent-ai-autogen-coding pip install gradio==5.31.0 pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space's page and use the app there. On your own computer, run this command from the project folder and open the page Gradio shows. ```sh python app.py ``` ### Example You open the app and give it a coding task. The AutoGen agents work on it together, and the app shows what they produce. ### For newcomers and experts If you are new to this, open the Space's page and try one small coding request. Nothing needs installing, and you see several agents share one job. If you know the field, the repository is just four files, with the agent logic kept apart from the Gradio page. The source does not say which model service the agents call or how many agents run, so read multi\_agent.py before you rely on it. Open the Space or run app.py locally → You give the app a coding task → AutoGen agents work on it together → The app shows the result ### Good to know The source says little, so check what the agents produce yourself. - License: Apache 2.0, as the Space's license line says - Cost to run: none named, and the hosted copy uses cpu-basic hardware at Hugging Face. The source does not say whether a model key is needed - Data it reaches: the source names no files or accounts. The page carries an MCP tag, but no MCP setup is described ## README ````markdown # Multi-Agent AI - Coding A Gradio demo of several AI agents built with Microsoft AutoGen that work together on a coding task. Use it in the browser on Hugging Face or run a copy on your own computer. Made by bstraehle on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space is a Gradio demo of a multi-agent setup built with Microsoft AutoGen, aimed at coding. The agent logic lives in multi_agent.py and the page that you use is app.py. It runs in the browser on Hugging Face or on your own computer. Who it suits: Developers who want to see a small AutoGen multi-agent example before building their own. Students of agent systems can read the two Python files to learn how the pieces connect. ```table Industry | Who uses it | How they use it | Example Software | Developers | Try a multi-agent coding demo in a browser | Giving the agents a small coding task and reading what comes back Education | Students of AI agents | Read how AutoGen agents are wired up | Opening multi_agent.py next to app.py Research | Agent researchers | Use it as a small base to adapt | Copying the Space and changing the agent setup ``` If you want a full coding assistant inside your editor, you can skip it. Where to use it: - A web browser, on the Space's page at Hugging Face - Windows with Python - macOS with Python - Linux with Python ```table Use case | Who | What they get back Try a multi-agent coding demo | Developers | A result produced by several agents working together Study an AutoGen example | Students | Two short Python files to read ``` How to set it up: Online use needs nothing. A copy on your own computer needs a little. - Python on Windows, macOS or Linux - The pip tool, to install the packages from requirements.txt - Nothing at all if you use the Space online, since it runs in the browser 1. Install the Hugging Face hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the pinned version, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download bstraehle/multi-agent-ai-autogen-coding --repo-type space --local-dir multi-agent-ai-autogen-coding cd multi-agent-ai-autogen-coding pip install gradio==5.31.0 pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space's page and use the app there. On your own computer, run this command from the project folder and open the page Gradio shows. ```sh python app.py ``` Example: You open the app and give it a coding task. The AutoGen agents work on it together, and the app shows what they produce. For newcomers and experts: If you are new to this, open the Space's page and try one small coding request. Nothing needs installing, and you see several agents share one job. If you know the field, the repository is just four files, with the agent logic kept apart from the Gradio page. The source does not say which model service the agents call or how many agents run, so read multi_agent.py before you rely on it. ```flow Open the Space or run app.py locally You give the app a coding task AutoGen agents work on it together The app shows the result ``` Good to know: The source says little, so check what the agents produce yourself. - License: Apache 2.0, as the Space's license line says - Cost to run: none named, and the hosted copy uses cpu-basic hardware at Hugging Face. The source does not say whether a model key is needed - Data it reaches: the source names no files or accounts. The page carries an MCP tag, but no MCP setup is described ## On Hugging Face, 13 November 2026 - Likes: 39 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/bstraehle/multi-agent-ai-autogen-coding - Files: https://huggingface.co/spaces/bstraehle/multi-agent-ai-autogen-coding/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [bstraehle/multi-agent-ai-autogen-coding on Hugging Face](https://huggingface.co/spaces/bstraehle/multi-agent-ai-autogen-coding) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Multi-Agent AI - Coding (this page) | 39 | gradio | apache-2.0 | 2025-07-13 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | | [TRELLIS](https://mindket.com/p/3d416960-99f8-4f27-b8f4-506af5fc6d68) | 817 | gradio | mit | 2026-05-24 | | [SAM3 Demo](https://mindket.com/p/b2c90015-5e83-4562-bf7c-9214654bc87b) | 91 | gradio | apache-2.0 | 2026-10-14 | | [TRELLIS.2-Text-to-3D (Rerun)](https://mindket.com/p/7dd47404-3114-400c-97ae-a751bcdb2e07) | 58 | gradio | apache-2.0 | 2026-10-14 | | [MOSS-Image 8-step DMD](https://mindket.com/p/8ebf73f2-a5e7-46c1-97e1-ebfb47c9db2d) | 34 | gradio | apache-2.0 | 2026-10-18 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2025-07-13 - First published: 2024-06-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open bstraehle/multi-agent-ai-autogen-coding on Hugging Face](https://huggingface.co/spaces/bstraehle/multi-agent-ai-autogen-coding) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3d985dae-d621-4632-a07f-32aa6ed06e86) - [Its page on Mindket](https://mindket.com/p/3d985dae-d621-4632-a07f-32aa6ed06e86)