androoAGI/starnet
A living pixel-art station where real AI agents do real work. Local-first desktop agent harness - bring your own key, watch your crew actually run.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 1 day ago, with 2 contributors on GitHub.
Peaked at #18 in the weekly ranking the week of Sep 20, its best in the past year.
Use Cases & Benefits
- Creates a local-first desktop harness where pixel-art AI agents perform real work with real models and tools in a visual space station interface.
- Enables concurrent, bounded AI agents with distinct personas and permissions, integrating real model calls and tool usage without simulating state.
- Use for managing multiple AI agents running distinct workflows concurrently with isolated workspaces and permissions on your desktop.
- Use for integrating your own API keys or local AI models to run private, secure AI workflows without exposing secrets in the frontend.
- Use for automating multi-step AI tasks with scheduled recipes, skill grants, and real-time monitoring through a visually interactive pixel-art station.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- Owned by an individual account with only 2 contributors on GitHub; plan for bus-factor risk.
General guidance from repository metadata, not legal advice. How we score
From the README
A living pixel-art station where real AI agents do real work.
StarNet is a local-first desktop harness where you create AI agents, organize them into a pixel-art space station, and watch them perform real work with real models and tools. The station is not decoration — it is a projection of live runtime state, and the product contract is literal: A room is a capability-scoped team, a hallway is an authorized handoff lane, and a placed object is a real capability grant. The layout you draw is the workflow the agents run.
Start with one agent, then place bays or summon specialists to run more, concurrently — each a genuinely distinct, bounded agent run with its own workspace and permissions. The harness performs real model calls, real tools, real cost rather than animating a simulation.
StarNet does not simulate revenue, completed work, model activity, or spend. Its core product law is that the interface must never assert state the harness cannot prove.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+1,449 stars over 39 days across 28 snapshot days; best day +221 on Sep 26.
Forks
347+291
Open issues
65+46
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Leonxlnx/taste-skill | 110.7K | +5.2K | 55 | 1 day ago |
| calesthio/OpenMontage | 77.2K | +4.2K | 40 | — |
| heygen-com/hyperframes | 79.6K | +4.1K | 45 | today |
| androoAGI/starnet | 1.7K | — | 65 | 1 day ago |
| Category median | 98.1K | +5.2K | 45 | — |
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