Enables AI agents to securely create, manage, and monitor local processes such as dev servers, docker-compose, and test watchers, including restarting, checking status, and retrieving logs via MCP, HTTP, or WebSocket messaging.
Enables AI assistants to execute predefined developer commands and manage long-running processes through a JSON configuration file. Supports both one-shot commands and daemon processes with automatic process lifecycle management.
Enables AI agents to discover, configure, and manage local development servers. Provides tools for app registration, port allocation, lifecycle control, and log access without manual config editing.
See and control the local dev servers your coding agents leave running. Lists listeners with provenance — which agent, terminal and git worktree started each — kills strays, and allocates collision-free ports so parallel agents stop fighting over :3000.
Manages llama.cpp llama-server instances with tools for lifecycle management, configuration CRUD, and orphan detection, enabling LLM agents to control local or remote inference servers.
