Enables AI agents to operate a persistent Linux sandbox in the cloud, running commands, managing files, using Git, and publishing artifacts through a Streamable HTTP MCP endpoint.
Enables AI agents to operate a real, private, local Docker-based computer with durable files, terminal access, web research, and a persistent browser or desktop. It supports multiple agent clients via MCP or OpenAPI, with live viewing and human takeover.
Exposes a Linux host with shell, Python, and filesystem tools as MCP tools over HTTPS, enabling AI agents to execute commands and manage files remotely.
Enables MCP-compatible AI clients to access local Linux files, run sandboxed commands and Git operations, capture screenshots, and manage authorized applications, with optional Unity and Blender integration.
Enables AI agents to expose and control local and self-hosted tools via MCP, with isolated workers, long-running task management, persisted state, and modular integrations for reverse engineering and development workflows.