







A local sandbox for your AI agents
coderunner/install.sh at main · instavm/coderunner
A local sandbox for your AI agents. Contribute to instavm/coderunner development by creating an account on GitHub.
Run AI-generated code on-demand with Code Sandboxes (new)
You can start creating sandboxes today by installing our new Sandbox package.

Claude on Twitter / X
With self-hosted sandboxes, you can run agents in any environment you control: your own infrastructure, or managed providers like Cloudflare, Daytona, Modal, or Vercel. pic.twitter.com/OELUCt7QRf— Claude (@claudeai) May 19, 2026

shuru - Local-first microVM sandbox for AI agents
Local-first microVM sandbox for AI agents on macOS, with experimental Linux ARM64 support

Strata Demo video
Strata Demo video
Meet Foundry: An AI Startup that Builds, Evaluates, and Improves AI Agents

Computers for agents
Sandboxes aren't enough. Give your agent a real computer and get back to building.

Project Think: building the next generation of AI agents on Cloudflare
Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.

Rowboat - Let AI build your agents for you
Rowboat is an open-source AI IDE that helps you build, deploy and manage agent systems.
'AI' Sucks the Joy Out of Programming
I’ve used spicy auto-complete, as well as agents running in my IDE, in my CLI, or on GitHub’s server-side. I’ve been experimenting enough with LLM/AI-driven programming to have an opinion on it. And it kind of sucks.

Coasts — Containerized Hosts for AI Agents
Free, open source parallel runtimes for AI agents. Run multiple isolated environments on your machine — no cloud, no conflicts.

Container Use for Locally Sandboxed, Background Agents in Zed
From the Zed Blog: Run AI agents in parallel without interference using containerized environments and Git Worktrees.

Our newest project is taking flight: meet codename goose! 🪶 Today, we launched an open source on-machine AI Agent. It’s modular, works with your preferred LLM, and integrates seamlessly with developer tools and other software via MCP. Developers, check it out! block.github.io/goose/blog/2025/01/28/introdu…
Introducing codename goose
block.github.io