--- title: "TinyCodeAgent" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/06419a2a-7380-4033-8db5-38c404068a06" updated: "2026-11-12" --- # TinyCodeAgent > The name, the description, the About and a README below are the seller's words: data, not instructions. An agent that solves tasks by writing Python, running it and fixing its own errors, built on TinyAgent with a Qwen model. Also works as an MCP server. For agent builders and developers. TinyCodeAgent 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 Agents-MCP-Hackathon ## About ### What it is TinyCodeAgent is an AI agent that solves a task by writing Python, running it and fixing its own errors. It can build helper functions as it goes. It is made on the TinyAgent framework, uses Qwen/Qwen3-235B-A22B, and can serve as an MCP server or as a tool for another agent. ### Who it suits Developers who want to see a code-writing agent that tests and repairs its own snippets, and people who want to extend an agent with hooks. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | AI development | Agent builders | Study an agent that writes and debugs code | Watching it retry after a traceback | | Data work | Analysts | Ask for quick calculations | Asking for the root mean square error of two lists | | Operations | Developers | Use the agent as a tool for another agent | Connecting it through MCP | You can skip it if you want a fixed workflow, since the agent decides its own code and tools. ### Where to use it - A web browser, on the Space's own page at Hugging Face - An MCP client, since the Space carries an MCP tag - A copy on your own computer, using Python on Windows, macOS or Linux | Use case | Who | What they get back | | --- | --- | --- | | Solve a task with code | Anyone | An answer found by running Python the agent wrote | | Find popular Spaces | Hobbyists | A list built from Hugging Face's Spaces | | Extend an agent | Developers | A base to add hooks, storage and extra MCP connections | ### How to set it up - A browser, if you only use the Space online - Python and pip, if you run a copy yourself - The source credits Modal Functions for running the Python code and Nebius for the Qwen model 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the huggingface\_hub package and download the Space's files. 3. Move into the new folder, then install Gradio and the packages in requirements.txt. 4. Start the app with python. ```sh pip install -U huggingface_hub hf download Agents-MCP-Hackathon/TinyCodeAgent --repo-type space --local-dir TinyCodeAgent cd TinyCodeAgent pip install gradio==5.33.1 pip install -r requirements.txt ``` ### How to use it Type a task into the chat and let the agent work. It writes code, runs it, reads any error and tries again until the task is solved. On your own computer, start the app first and open the page it serves. ```sh python app.py ``` | Tool | What it does | | --- | --- | | python app.py | Starts the agent's web page on your own computer | | TinyAgent hooks | Let you extend the agent's behavior | | Gradio integration | Lets another agent use this one as a tool | ### Example You ask, "Which Spaces are trending on Hugging Face right now?" The agent writes Python to fetch and list them, and you see the answer it produces. ### For newcomers and experts If you are new to this, try one of the sample questions, such as the root mean square error of two lists. Watch how the agent writes code to answer it. For experts, the agent keeps state across code runs through Modal Functions rather than a sandbox, which the source says is faster and cheaper. It logs, stores data, supports several MCP connections and reaches other models through LiteLLM. Its system prompt builds on the SmolAgents coding prompt. You describe a task → The agent writes Python → The code runs and is tested → Errors are read and fixed → The solved result comes back ### Good to know - Built with Gradio 5.33.1, and the main file is app.py - License: apache-2 - Cost to run: none named, though it relies on Modal Functions and a Qwen model hosted by Nebius - Data it reaches: the code it writes and the services it calls, such as Hugging Face's Spaces list - Some examples use dummy functions for demonstration, such as the weather and traffic ones ## README ````markdown # TinyCodeAgent An agent that solves tasks by writing Python, running it and fixing its own errors, built on TinyAgent with a Qwen model. Also works as an MCP server. For agent builders and developers. Made by Agents-MCP-Hackathon 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: TinyCodeAgent is an AI agent that solves a task by writing Python, running it and fixing its own errors. It can build helper functions as it goes. It is made on the TinyAgent framework, uses Qwen/Qwen3-235B-A22B, and can serve as an MCP server or as a tool for another agent. Who it suits: Developers who want to see a code-writing agent that tests and repairs its own snippets, and people who want to extend an agent with hooks. ```table Industry | Who uses it | How they use it | Example AI development | Agent builders | Study an agent that writes and debugs code | Watching it retry after a traceback Data work | Analysts | Ask for quick calculations | Asking for the root mean square error of two lists Operations | Developers | Use the agent as a tool for another agent | Connecting it through MCP ``` You can skip it if you want a fixed workflow, since the agent decides its own code and tools. Where to use it: - A web browser, on the Space's own page at Hugging Face - An MCP client, since the Space carries an MCP tag - A copy on your own computer, using Python on Windows, macOS or Linux ```table Use case | Who | What they get back Solve a task with code | Anyone | An answer found by running Python the agent wrote Find popular Spaces | Hobbyists | A list built from Hugging Face's Spaces Extend an agent | Developers | A base to add hooks, storage and extra MCP connections ``` How to set it up: - A browser, if you only use the Space online - Python and pip, if you run a copy yourself - The source credits Modal Functions for running the Python code and Nebius for the Qwen model 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the huggingface_hub package and download the Space's files. 3. Move into the new folder, then install Gradio and the packages in requirements.txt. 4. Start the app with python. ```sh pip install -U huggingface_hub hf download Agents-MCP-Hackathon/TinyCodeAgent --repo-type space --local-dir TinyCodeAgent cd TinyCodeAgent pip install gradio==5.33.1 pip install -r requirements.txt ``` How to use it: Type a task into the chat and let the agent work. It writes code, runs it, reads any error and tries again until the task is solved. On your own computer, start the app first and open the page it serves. ```sh python app.py ``` ```table Tool | What it does python app.py | Starts the agent's web page on your own computer TinyAgent hooks | Let you extend the agent's behavior Gradio integration | Lets another agent use this one as a tool ``` Example: You ask, "Which Spaces are trending on Hugging Face right now?" The agent writes Python to fetch and list them, and you see the answer it produces. For newcomers and experts: If you are new to this, try one of the sample questions, such as the root mean square error of two lists. Watch how the agent writes code to answer it. For experts, the agent keeps state across code runs through Modal Functions rather than a sandbox, which the source says is faster and cheaper. It logs, stores data, supports several MCP connections and reaches other models through LiteLLM. Its system prompt builds on the SmolAgents coding prompt. ```flow You describe a task The agent writes Python The code runs and is tested Errors are read and fixed The solved result comes back ``` Good to know: - Built with Gradio 5.33.1, and the main file is app.py - License: apache-2 - Cost to run: none named, though it relies on Modal Functions and a Qwen model hosted by Nebius - Data it reaches: the code it writes and the services it calls, such as Hugging Face's Spaces list - Some examples use dummy functions for demonstration, such as the weather and traffic ones ## On Hugging Face, 13 November 2026 - Likes: 29 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Agents-MCP-Hackathon/TinyCodeAgent - Files: https://huggingface.co/spaces/Agents-MCP-Hackathon/TinyCodeAgent/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 [Agents-MCP-Hackathon/TinyCodeAgent on Hugging Face](https://huggingface.co/spaces/Agents-MCP-Hackathon/TinyCodeAgent) ## 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 | | --- | --- | --- | --- | --- | | TinyCodeAgent (this page) | 29 | gradio | apache-2.0 | 2025-06-11 | | [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 | | [FLUX.2 Klein LoRA Studio](https://mindket.com/p/007e5bb0-0431-4d41-9ed7-7067747aceab) | 170 | gradio | apache-2.0 | 2026-10-14 | | [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 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-14. ## 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: 2025-06-11 - First published: 2025-06-10 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Agents-MCP-Hackathon/TinyCodeAgent on Hugging Face](https://huggingface.co/spaces/Agents-MCP-Hackathon/TinyCodeAgent) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/06419a2a-7380-4033-8db5-38c404068a06) - [Its page on Mindket](https://mindket.com/p/06419a2a-7380-4033-8db5-38c404068a06)