coderunner

> MCP-Use supports running MCP servers in a sandboxed environment using E2B's cloud infrastructure. If you want to support a local and privacy friendly sandboxed environment for code execution, you may consider something I have built, Coderunner - https://github.com/instavm/coderunner - it uses Apple's native container for hosting a jupyter server and a headless browser.

Hello Nathan, I integrated[1] the recently released Apple Container (instead of shell) to run codes generated by Kiro. It works great! 1. CodeRunner: https://github.com/BandarLabs/coderunner

I have actually been working on something similar but instead of Docker, I am using Apple’s builtin container[1] support to run shell commands and code with real OS-level isolation. It’s fast (spawns in milliseconds) and integrates nicely with things like Claude Code and the Gemini CLI. I open sourced it as CodeRunner[2]. Would love to hear what people think or chat about how it compares. 1. Apple container: https://github.com/apple/container 2. CodeRunner: https://github.com/BandarLabs/coderunner Caveat: You need M1/M2/M3/M4 mac for this to work. MacOS 26 is optional but recommended.

We looked at Pyodide and WASM along with other options like firecracker for our need of multi-step tasks that require running LLM generated code locally via Ollama etc. with some form of isolation than running it directly on our dev machines and figured it would be too much work with the various external libraries we have to install. The idea was to get code generated by a powerful remote LLM for general purpose stuff like video editing via ffmpeg, beautiful graphs generation via JS + chromium and stuff and execute it locally with all dependencies being installed before execution. We built CodeRunner (https://github.com/BandarLabs/coderunner) on top of Apple Containers recently and have been using it for sometime. This works fine but still needs some improvement to work across very arbitrary prompts.