# wasm-agents-blueprint: Run Python AI Agents in the Browser This repository profile is provided by osrepos.com, an open source repository discovery platform. Source: osrepos.com Repository profile: https://osrepos.com/repo/mozilla-ai-wasm-agents-blueprint Generated for open source discovery and AI-assisted research. A Mozilla AI demo runs the OpenAI Agents Python SDK in the browser through Pyodide and WebAssembly. It suits developers exploring browser-based agents, but depends on an external LLM and has had no commits in over a year. GitHub: https://github.com/mozilla-ai/wasm-agents-blueprint OSRepos URL: https://osrepos.com/repo/mozilla-ai-wasm-agents-blueprint ## Summary A Mozilla AI demo runs the OpenAI Agents Python SDK in the browser through Pyodide and WebAssembly. It suits developers exploring browser-based agents, but depends on an external LLM and has had no commits in over a year. ## Topics - python - ai-agents - llm - web-development - pyodide - webassembly - browser-based-ai ## Repository Information Last analyzed by OSRepos: Sat Oct 10 2026 02:33:26 GMT+0100 (Western European Summer Time) Detail views: 4 GitHub clicks: 13 ## Safety Notice OSRepos shares public repositories for knowledge and discovery only. Review source code, dependencies, licenses, and security implications before running or installing anything. ## Content ## Overview Wasm Agents Blueprint demonstrates how to run Python-based AI agents in a browser by combining the OpenAI Agents Python SDK with Pyodide and WebAssembly. It aims to make agent experiments easy to try without setting up an application server or container. The browser runs the agent code, but inference still comes from an external model service. That can be an OpenAI API or an OpenAI-compatible server such as Ollama or LM Studio, including a locally hosted model. ## Key Features - Runs Python agent code in the browser using Pyodide and WebAssembly. - Includes a basic conversational agent and a multi-agent handoff example. - Demonstrates tool calling with webpage retrieval and character counting tools. - Offers a local-model example that connects to Ollama or LM Studio. - Uses HTML demos that can be opened directly in a browser. - Supports OpenAI-compatible model servers as well as OpenAI models. ## Use Cases - Python agent developers can use the demos to explore how an agent SDK behaves in a browser. - Teams evaluating browser-based AI interactions can prototype without deploying an application server. - Developers experimenting with local models can try tool-calling agents connected to Ollama or LM Studio. - Educators and learners can compare a basic agent, handoffs, and tool use through separate examples. ## Our Take This is a useful hands-on blueprint for browser-based Python agent experiments, but its inactive maintenance and concentrated contributor base make it a less dependable foundation for production adoption. **Good fit if:** - You want to understand the browser-side experience of running the OpenAI Agents Python SDK through Pyodide. - You can provide an OpenAI API key or operate an OpenAI-compatible model server, and can work around browser CORS restrictions when using webpage retrieval. - You are evaluating a demonstrator under the Apache-2.0 license rather than relying on active upstream development. **Look elsewhere if:** - You need an actively maintained project: there have been no commits in over a year and no releases in the past year. - You need evidence of broad maintainer capacity: most of the code comes from one person among three contributors. - Your use case requires the agent and model inference to run without an external model service. ## Project Health | Signal | Value | |---|---| | Status | **Inactive**: no commits in over a year | | Last commit | 2025-09-17 (1.1 years ago) | | Commits, last 90 days | 0 | | Releases, last 12 months | 0 | | Contributors | 3 (top contributor: 86% of commits) | | Issues closed, last 90 days | 0 | | Pull requests merged, last 90 days | 0 | | Project age | 16 months | Checked on 2026-10-10 with the GitHub API. ## Project Facts - License: Apache-2.0 - Stars: 247 - Forks: 21 - Archived: no ## What You Need Detected in the repository: - Python (from pyproject.toml) - Automated checks on GitHub Actions ## Getting Started ```bash git clone https://github.com/mozilla-ai/wasm-agents-blueprint.git cd wasm-agents-blueprint/demos ``` Configure `config.js` with an OpenAI API key for the OpenAI-backed examples, or start a local model server for `local_model.html`. Open one of the demo HTML files in a browser. See the [README](https://github.com/mozilla-ai/wasm-agents-blueprint#readme) for setup details and troubleshooting. ## License in Plain Words **Apache-2.0** (permissive). - Commercial use: yes - Modify and redistribute: yes - You must keep: the license, the NOTICE file and a note of your changes - Share your changes: no - Includes an explicit patent grant from the contributors A summary, not legal advice: the LICENSE file is what applies. ## Considerations The repository is marked inactive, with no commits in over a year and no recent releases. CI is present, but the repository metadata reports no tests. Contributor activity is concentrated, so maintenance and issue follow-through may depend heavily on one person; there have also been no issues closed in the recent measurement period. Initial Pyodide package downloads require an internet connection, even when using a local model. Browser CORS restrictions can also prevent the webpage tool from fetching content, and the README suggests disabling those restrictions or using extensions, which should be considered carefully. Model inference remains external to the browser. The project is licensed under Apache-2.0, so review its license terms for your intended distribution and use.