StarNet is a local-first desktop harness for creating and running AI agents inside a pixel-art space station. The station layout represents the workflow: rooms define capability-scoped teams, hallways authorize handoffs, and placed objects grant capabilities. Each agent run uses its own workspace, transcript, memory, and bounded permissions, while the station reflects runtime state rather than simulating activity.
The harness streams model calls through a local Node sidecar and applies explicit capability and consent checks to tool use. It supports OpenRouter and provider sign-ins for Anthropic, OpenAI, and Google, as well as local models through Ollama. Agents can run concurrently, connect to Telegram, Discord, Slack, Signal, and Matrix, use MCP servers and other connectors, launch recipes and reusable skills, run on schedules, and deliver files through an OUTBOX. Spend, budgets, tasks, schedules, transcripts, and memory persist in the local StarNet workspace; provider requests leave the machine when an agent runs, while secrets are held by the sidecar or operating-system keychain rather than the frontend.
StarNet is distributed as a desktop application for Windows and macOS, with Windows identified as the most-tested target. It is also runnable from source with Node.js, and its code is available under the MIT License. The StarNet name, logo, artwork, sprites, and other brand identity are not covered by that license.