Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.
Enables AI clients to manage workspaces, projects, tasks, and AI agents through natural language, with hosted or local connection options and OpenAPI-to-MCP tool generation.
MCP server that initializes, manages, and operates traceable agentic infrastructure across your digital ecosystem, serving as a control plane to know project states, health, and initialize missing setups.
A local-first MCP control-plane core that gives AI agents persistent project context through workspace registration, reusable skill routing, and health guardians over stdio.
A durable MCP control plane for starting, observing, steering, continuing, cancelling, and handing off long-running coding agents, with bounded MCP calls and persistent worktrees.