Remote execution layer for agentic systems exposing 64 production tools via MCP for file, network, system, text, git, crypto, and monitoring operations.
45+ first-class, OS and backend specific MCP tools that let AI coding agents create, manage, read, edit, and write files inside dev containers, keeping your machine clean and your environment reproducible and deploy-friendly. Use local Docker, GitHub Codespaces, Azure, AWS, Google Cloud or Kubernetes seamlessly!
Provides 300+ MCP tools for orchestrating AI agents — including swarm coordination, self-learning memory, and task management — enabling MCP clients like Claude Code and Cursor to spawn, coordinate, and learn from specialist agents across sessions.
Provides 180+ tools for full system control including terminal, Git, Docker, Kubernetes, VMs, BIOS, kernel, cybersecurity, AI, and cloud, designed to work with MCP clients like Cursor and Claude Desktop.
A typed, policy-controlled OS capability layer for AI agents via MCP, exposing safe filesystem, git, and text-processing tools governed by a strict policy engine.
