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
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agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
Run AI agents on real and isolated machines — own kernel, filesystem, and network — with <100ms boot. Local first, OCI compatible, pure Rust.
Secure & isolated JS environments for nodejs
Run Claude Code, Gemini, Codex — or any coding agent — in a clean, isolated sandbox with sensitive data redaction and observability baked in.
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.
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
Fast, isolated machines for AI agents and dev teams, self-hosted in your own cloud. Use them as agent sandboxes, dev environments or servers, on GCP, AWS or bare metal.
CLI tool for running coding agents inside hardware-isolated microVMs
One isolated Lima VM per GitHub project — sandboxed Claude Code/Codex, Docker, Node, signed git