Mindket

Multi-Agent AI - Coding

Newversion 1 · updated

Overview

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 . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • 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
Runs in
  • A web browser, on the Space's page at Hugging Face
  • Windows with Python
  • macOS with Python
  • Linux with Python
Start with
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

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

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.

IndustryWho uses itHow they use itExample
SoftwareDevelopersTry a multi-agent coding demo in a browserGiving the agents a small coding task and reading what comes back
EducationStudents of AI agentsRead how AutoGen agents are wired upOpening multi_agent.py next to app.py
ResearchAgent researchersUse it as a small base to adaptCopying 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 caseWhoWhat they get back
Try a multi-agent coding demoDevelopersA result produced by several agents working together
Study an AutoGen exampleStudentsTwo 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.
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.

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.

  1. Open the Space or run app.py locally
  2. You give the app a coding task
  3. AutoGen agents work on it together
  4. 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 and files

README

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.

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.
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.

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

On Hugging Face, 13 November 2026

  • Likes: 39
  • Built with: gradio
  • License: apache-2.0

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

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Multi-Agent AI - Coding This page39gradioapache-2.0
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Numbers as Mindket last read them, on 2026-11-12.

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