Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.
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Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.
✨ AI Spreadsheet for Business
Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
Astrid is a portable, capability-secure operating system for composable software.
An Autonomous LLM Agent for Complex Task Solving
A lightweight sandboxing tool for enforcing filesystem and network restrictions on arbitrary processes at the OS level, without requiring a container.
An embeddable, portable, branchable virtual machine to safely run Agents locally.
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
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.
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
The World's First Virtual Terminal for AI Agents
Policy-driven, layered isolation and containment
Open-source meeting transcription API for Google Meet, Microsoft Teams & Zoom. Auto-join bots, real-time WebSocket transcripts, MCP server for AI agents. Self-host or use hosted SaaS.
A secure persistent personal agent server in Rust. One binary, sandboxed execution, multi-provider LLMs, voice, memory, Telegram, WhatsApp, Discord, Teams, and MCP tools. Secure by design, runs on your hardware.
✨ The open-source multi-agent platform. Every agent gets its own computer, desktop, network, and long-term memory. You can bring your own key, or host your coding agent like Claude Code, Codex and so on.
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
Experimental Linux microvm setup with a TypeScript Control Plane as Agent Sandbox
Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app
Run Claude Code, Gemini, Codex — or any coding agent — in a clean, isolated sandbox with sensitive data redaction and observability baked in.
Ultrafast serverless GPU inference, sandboxes, and background jobs
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
A desktop VM for agents: wrap's base image + XFCE, shared Chrome, agent-browser and agent-desktop. Containerfile + Smolfile.