Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.
- apple
- cua
- lume
- macos
Repository Index
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Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
🚀 Fast and lightweight sandboxes for your apps and AI agents
- webassembly
- wasm
- wasi
- emscripten
Let AI agents browse the web. An autonomous toolkit for browser-based AI agents.
Orchestrate sandboxed coding agents in TypeScript with sandcastle.run()
🧱 easy, fast, programmable and local-first microVM runtime and library
An embeddable, portable, branchable virtual machine to safely run Agents locally.
- containers
- crun
- libkrun
- microvm
Run thousands of AI agent sandboxes on the cheapest machines.
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
- kubernetes
- agent
- ai
- rl
Robust, fast, scalable, and sandboxed open-source online code execution system for humans and AI.
- online-judge
- online-compiler
- competitive-programming
- code-executor
Run AI agents on real and isolated machines — own kernel, filesystem, and network — with <100ms boot. Local first, OCI compatible, pure Rust.
Open-source sandboxed agent harness for teams. Giving every employee a secured personal agent.
A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents
- meta-agents
- meta-optimization
- runtime-supervision
- workflow-automation
Give cloud AI agents a real development environment on your own machines.
Sub-millisecond VM sandboxes for AI agents via copy-on-write forking
- ai-agents
- code-execution
- firecracker
- kvm
Sandbox your local AI agents so they can read/write only what they need
Cloud agents for any harness. Claude Code, Codex, Pi, and OpenCode run in isolated sandboxes, and live sessions move between your Mac and the cloud.
- ai-agents
- background-agents
- claude-code
- cloud-agents
Give the agent a machine. Just not yours. Each AI coding agent gets its own isolated machine with root, Docker, and systemd - active defense detects and stops threats automatically.
One VM for every project. An isolated sandbox with your project’s toolchain, ready for you or a coding agent to start coding
- coding-agent
- coding-agents
- developer-tools
- development
Fresh, throwaway Windows machines for testing your apps: an MCP server and CLI that automate Windows Sandbox
A desktop VM for agents: wrap's base image + XFCE, shared Chrome, agent-browser and agent-desktop. Containerfile + Smolfile.
Airut is a system for running Claude Code tasks from email and Slack. It handles workspace provisioning, container isolation, network sandboxing, session persistence, and cleanup — a secure foundation for autonomous agentic development.
A developer CLI tool that manages .env files, detects secret leaks, syncs env drift across teammates, and validates environment parity between local/staging/prod all from your terminal. Written in Go.
One isolated Lima VM per GitHub project — sandboxed Claude Code/Codex, Docker, Node, signed git