Python sandboxes for llms

Run Coding Agents in Sandboxes. Control Them Over HTTP. Supports Claude Code, Codex, OpenCode, and Amp.

Code Execution Sandbox Platform Solution for Individuals and Small Teams with MCP

Keeping your agents out of trouble with sandboxed coding agent automation

Run AI agents isolated in a macOS user account and sandbox-exec. Configured to run Claude Code, OpenAI Codex, Cursor Agent, Google Gemini.

Containment for AI agents - user isolation, sandboxed execution, network controls, backup/rollback. TLA+ verified.

Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud

Give coding agents a disposable Linux VM, not your laptop

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

Playwright for coding agents. Benchmark Claude Code, Codex, Gemini, and OpenCode on your own tasks - and test that your skills, MCP servers, and CLIs work when an agent uses them. Sandboxed YAML suites, activation checks, A/B experiments, CI gates.

lnwjud — local AI-agent runtime & MCP gateway

OpenGhost is an Agent Skill for authorized web app penetration testing: Enter lab url paste credential your agent and wait everything does with help of openghost

Isolated Linux desktop workspaces for AI agents — a hidden, agent-owned desktop and browser over MCP, so an agent can do GUI and web work without touching your real desktop.