All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

A local sandbox for your AI agents

Code Mode inspired local sandboxed MCP Gateway - collapses N servers x M tools into 2 tools (~1,000 tokens)

Use cultivar to test your Agent Skills, run them in sandboxes, and across different agents.

Chrome extension & CLI to let agents control your browser. Runs Playwright snippets in a stateful sandbox. Available as CLI or MCP

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

Control Claude Code, Codex CLI and Gemini CLI from Telegram. Live streaming, persistent memory, cron jobs, webhooks, Docker sandboxing.

A sandbox for prototyping and demonstrating Agent Skills for MATLAB and Simulink work.

Self-hosted AI agent harness in a single Go binary — writes, sandbox-tests and repairs its own tools, and lets Claude Code, Codex and any MCP client build and share them.

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.

Wassette: A security-oriented runtime that runs WebAssembly Components via MCP

OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density

A practical framework for AI-Assisted Research in Mathematics and Machine Learning

Poirot is a deep research agent kernel built for those who care about how agents are architected.

MCP server for AI agent payments: pay-per-call APIs (search, scraping, data, compute, media, research) with no vendor keys and a spend ceiling on every call. Works in Cursor, Claude Code, Claude Desktop, and Codex.