Local AI Service Manager

A terminal UI to manage all your local AI services' lifecycle and status

Problem

The poster built a Chinese terminal console for DeepSeek Harness because 'closing the web page does not stop the background service,' and restarting just to resume is unnecessary. Users often can't tell whether a local AI service is running. The same issue applies to LM Studio, Ollama, and other local model servers: multiple background processes, port conflicts, forgotten services wasting resources.

Solution

A cross-platform terminal UI that unifies local AI service lifecycle management: list known services, show status (process/port/health check), one-key start/stop/restart/open web UI, with custom service support and config migration.

Users

Developers running local AI models, heavy AI tool users, Windows/macOS/Linux desktop users, indie developers juggling multiple local services

MVP

Auto-discover known local AI services (with presets for common tools); show running status and ports; one-key start/stop/restart; open corresponding web UI; support custom service commands and arguments

Revenue

Open-source core + paid Pro (multi-machine management, config sync, team templates, signed Windows installer); or bundling deals with local AI tool vendors

Why now

Local models and AI tools are exploding, each with its own background process and port, and users lack a unified service manager. A terminal UI plus light daemon logic is achievable for one or two people.