Here is the short version of the StarNet reviews so far: StarNet is the most fun agent app I have tried, it set up in one or two clicks, and it is still early. I would install it to play with and learn from. I would not move my real business workflows onto it yet. Below you get my own review, what viewers said under my video, what the GitHub numbers tell you, and who should try it or skip it.
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The verdict first
StarNet, per its README, is "a living pixel-art station where real AI agents do real work." It is a local-first desktop agent harness built by Andrew Sims (androoAGI). The code is MIT licensed, but the name and art are not licensed for forks.
My verdict in one line: fun, smooth, early. It is the best-looking office-style agent UI I have used. It is not yet the tool I would hand my team to run client work.
- Best for: people who want to learn how agent teams, permissions and handoffs work, in a way that is actually enjoyable.
- Not ideal for: anyone who needs a battle-tested, production setup today, or anyone on Linux.
- Cost: the app is open source. You bring your own model access, or run free local models with Ollama.
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My StarNet review
I set up an agent in one or two clicks. I signed in with Grok and I was in. No wrestling with config files, no long install guide.
The first thing that hits you is how fun it is. You get levels, quests and a crew you can recruit and summon. It feels like a game, but the agents are doing real tasks. The best way I can describe it: a much more fun version of Paperclip.
The interface is the smoothest office-style agent UI I have tried. You can see your agents in rooms, see who is doing what, and see work move between them.
Two things held me back:
- A slight delay on chat sends. Not a deal breaker, but you notice it.
- Practical use cases. My honest take on camera was this: "I don't think there's a massive amount of practical use cases for this, but it's fun." I stand by that. It is great for learning and for light tasks. For heavy, repeatable business work, I still lean on my own setup.
If you want the full breakdown of what the agent side does, read my StarNet AI agent guide.
What viewers said about StarNet
Under my StarNet video, the comments told me a lot about where people are at with it.
- Viewers commented "More tutorials please" and "Yes plz! I wanna see more about how to use this!" So the interest is real.
- One viewer asked for a video on connecting Hermes.
- One viewer was frustrated it did not work with Hermes for them. For what it is worth, the README lists importing Hermes agents (and OpenClaw agents), so it is meant to work. Early releases can be rough, and setup details matter.
- One viewer felt lost and wanted more guides.
That pattern is common with new agent apps. People love the look, then hit a wall on the first real connection. The fix is usually a clearer walkthrough, not a different tool.
If you are stuck at that same point with your own site or agent workflow, book your free SEO strategy session and we will show you where AI tools can actually move your rankings.
What the GitHub numbers tell you
When there are not many reviews yet, the repo is the next best signal. Here is what GitHub shows right now, per androoAGI/starnet and androoAGI/starnet-releases.
| Signal | Number | What it tells you |
|---|---|---|
| Stars | About 1,500 | Real early interest for a young project |
| Forks | About 300 | Lots of people copying it, so watch for fakes |
| Open issues | About 80 | People are using it and finding rough edges |
| Latest release | v0.13.5, 16 Oct 2026 | Still pre-1.0, shipping updates |
How I read that:
- Stars: about 1,500 is a healthy start. It shows people are curious. It does not prove the tool is stable.
- Forks: about 300 is high relative to stars. Per the README, many forks copy the description. Install from androoAGI only.
- Open issues: about 80 open issues is normal for an early desktop app with lots of users. It also tells you that you will probably hit a bug or two.
- Release pace: a version number like v0.13.5 means the developer is shipping regular fixes. The project describes itself as an early release, with Windows the most tested platform.
For the full repo breakdown, installers and where to download safely, see my StarNet GitHub guide.
What StarNet actually does
Quick recap of the features so the pros and cons make sense. All of this is per the README.
- Rooms: capability-scoped teams. Each room has its own set of permissions.
- Hallways: handoff lanes between rooms.
- Objects: capability grants. Put an object in a room and that team gets that ability.
- Specialists: you can summon them for a task.
- Task briefs and OUTBOX: you hand over a brief, finished deliverables land in the OUTBOX.
- Connectors: MCP connectors, plus Telegram, Discord, Slack, Signal and Matrix.
- Night Shift: scheduled work on a cron.
- Voice: you can talk to it.
- Ledgers: spend and budget tracking.
- Models: an OpenRouter key, Anthropic, OpenAI or Google sign-in, or free local models with Ollama. Keys stay in your OS keychain.
- Platforms: Windows 10/11 and macOS (Apple silicon and Intel) installers. No public Linux build.
StarNet Reviews: pros and cons
| Pros | Cons |
|---|---|
| Agent set up in one or two clicks | Slight delay on chat sends in my test |
| Smoothest office-style agent UI I have tried | Limited practical use cases right now, in my view |
| Levels, quests and crew make it fun to learn | Early release, Windows is the most tested |
| Rooms and objects make permissions visual | No public Linux build |
| Works with OpenRouter, big-lab sign-ins or free Ollama models | About 80 open issues on GitHub |
| Keys stay in the OS keychain | Many look-alike forks, so you must install from androoAGI |
| Night Shift, ledgers and chat connectors built in | Some viewers struggled to connect Hermes |
Want to see how I test AI models and agents side by side? My Goldie Bench results show which models actually hold up on real tasks.
Who should try StarNet
- Curious beginners. If agent teams feel abstract, StarNet makes them visible. You see rooms, crews and handoffs instead of reading about them.
- Hermes and OpenClaw users. The README lists importing those agents, so you can bring what you already have.
- People who want free local models. Ollama support means you can test without paying for API calls.
- Windows users. It is the most tested platform right now.
Who should skip it for now
- Linux users. There is no public Linux build.
- Teams that need production reliability. It is early. Expect bugs.
- People who want a plain dashboard. If the pixel-art and game feel is not your thing, a simpler agent OS will suit you better. My Agent OS guide walks through that route.
Not sure which agent setup fits your business? Get a free SEO strategy session and we will look at where AI agents can save you time and win you rankings.
An honest note on StarNet reviews
Right now there are no independent, in-depth reviews of StarNet. I looked. Most coverage is early: first impressions, install videos and GitHub chatter. That includes mine.
So treat every review, including this one, as an early look. The best review is the one you do yourself in ten minutes on your own machine. If you also see people searching it as "Startnet OS", I covered that angle in my Startnet OS reviews page, which looks at whether StarNet really works as an operating system for agents.
If you want more hands-on walkthroughs like the ones viewers asked for, the AI Profit Boardroom is where I post tutorials and run live coaching calls every week. It is $69/mo.
FAQ
Is StarNet free?
The code is MIT licensed and free to download. You either bring a model (OpenRouter key, or Anthropic, OpenAI or Google sign-in) or run free local models through Ollama.
Is StarNet safe to install?
Install from androoAGI only. Per the README, many forks copy the description. Keys are stored in your OS keychain, and it is an early release, so back up anything important before you let agents touch it.
Does StarNet work with Hermes Agent?
The README lists importing Hermes and OpenClaw agents. One viewer said it did not work with Hermes for them, so expect some setup friction in this early version.
What is the overall StarNet review score?
From me: fun, smooth and early. Great to learn with, light on practical business use for now. If you want a real plan for using AI to grow your traffic, book your free SEO strategy session.
