coderunner
voicemode
| coderunner | voicemode | |
|---|---|---|
| 10 | 1 | |
| 262 | 240 | |
| - | 37.5% | |
| 8.7 | 9.8 | |
| about 1 month ago | 5 days ago | |
| Python | Python | |
| Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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coderunner
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Switching to Claude Code and VSCode Inside Docker
I have actually been working on something similar but instead of Docker, I am using Apple’s builtin container 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[1]. Would love to hear what people think or chat about how it compares.
1. https://github.com/BandarLabs/coderunner
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WASM Agents: AI agents running in the browser
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.
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Small win: Made CodeRunner and got appreciated by Google Gemini team!
Gemini CLI supports code execution itself but via shell, which can be a security issue. CodeRunner solves this by running it in a safe isolated container.
- Ask HN: What Are You Working On? (June 2025)
- Show HN: Use Apple Container with Gemini CLI
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Gemini CLI
Hi - I integrated Apple Container on M1 to run[1] the code executed by Gemini CLI. It works great!
1. CodeRunner - https://github.com/BandarLabs/coderunner/tree/main?tab=readm...
- Coderunner: A sandbox to run LLM generated code securely via Apple container
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Gemini CLI: your open-source AI agent
Interesting that I posted this few hours ago - https://github.com/BandarLabs/coderunner
The major difference would be Gemini CLI running code directly on you mac vs in a Apple container (in my tool).
They do have MCP support so I can probably add apple container support to it. Let's see once they make the repo public.
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MCP is eating the world–and it's here to stay
Unfortunately, the "protocol" doesn't have any emphasis on security so far, its all a repeat of HTTP -> HTTPS.
However I feel the tooling built around MCP has been a lot and makes your work easier.
The perfect use today would be using a locally running MCP servers for execution of code[1], manipulation of local files etc.
1. CodeRunner - Generate and run LLM code locally on Apple containers (https://github.com/BandarLabs/coderunner) (I am one of the authors)
- Show HN: CodeRunner – Generate and run LLM code locally on Apple containers
voicemode
What are some alternatives?
gemini-cli - An open-source AI agent that brings the power of Gemini directly into your terminal.
mcp-front - OAuth 2.1 proxy for Model Context Protocol servers - adds authentication to MCP tools for Claude.ai, Claude Code
dot-ai - CLI tool to generate AI provider configs from a single .ai/ source folder
mcp-server-azure-devops - An MCP server for Azure DevOps
llm - Access large language models from the command-line