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penguin

By @ferdinand

  • 6 Devlogs
  • 17 Total hours

MacOS has Siri, Windows has Copilot and Cortana, and now Linux has Penguin! Penguin is like Linux: it goes everywhere with you. It’s not designed for vibe-coding or anything like that; it’s a Linux-only assistant, and because Linux runs almost everywhere, so does Penguin! It’s just one Python script and one JSON file. Thanks to its simplicity, Penguin works perfectly with small models and really small ones. So welcome your new Linux companion and do things with it that normal penguins can’t do: fly! But Penguin won’t fly away from you!

Source
Ship #1 Pending review

@ferdinand on penguin

Penguin is here! The world’s simplest and funniest penguin agent to help you with your Linux. After spending hours chatting with my own penguin (testing can be so much fun!), I am proud to introduce this one-script agent. Do you have Python and Ollama running on Linux? Then download it and type ‘penguin’ to see for yourself. Powered by the Qwen3.5:2b model, Penguin executes Bash commands and manages its own memory. It wasn’t easy, but now my Linux usage is very funny indeed. (Note: small LLM’s sometimes struggle with tool usage and even with response generation. Check always before executing!

  • 6 devlogs
  • 17h
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@ferdinand on penguin

5h 17m 1s logged

Devlog #4 – The Pre-Ship: Penguin - It won‘t fly away!
This will be the last devlog before the launch! Penguin will be released shortly after this devlog, so it’s time for a recap. People often use AI agents for what they call ‘vibe coding’: they give all the work to an agent like Claude Code and think this is the right and smart use of AI. However, I believe that we should approach this technology with more caution and reflection; otherwise, we may begin to delegate highly important tasks without fully comprehending them. This is why I built Penguin — the simplest and, yes, the stupidest AI agent — for those who want to use AI for boring tasks, not fun ones. It’s just one Python script and one JSON file, plus Ollama. That’s it! So try Penguin, and rest assured: it won’t fly away!

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@ferdinand on penguin

2h 27m 58s logged

Devlog #3 - Just added a memory. Works very well with the qwen3.5-2b model. I started building a tui for the agent… still working on it. I also need to change the system prompt and think about the think/nothink mode.

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@ferdinand on penguin

2h 23m 55s logged

The last two weeks, I just played around with different models, frameworks, agents, systems, laptops. Then, I had a moment of resignation: small models struggle not with tool use, but with multiple tools. After a few tries, I came back to the absolute basic: bash commands. So I got back to my Agent Friend Framework and just added a tool: execute_bash_command(). That’s it so far. It work’s surprisingly well with the small qwen-model family. Now, I want to try out some extras: finetuning of the model, memory, maybe a very simple web search for troubleshooting, etc. But now penguin is back!

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@ferdinand on penguin

1h 10m 14s logged

I tested several local models for tool calling performance. Until now, it’s the qwen2.5:3b leading the “board”. To do this, I built a small tool selection(e.g. get_weather, etc.), quite a lot of typing work. But then, I found the agent-friend toolkit in this blogpost(https://dev.to/0coceo/ollama-tool-calling-in-5-lines-of-python-3h5f) and it’s just amazing! I can now get straight into the tool development without hundreds of lines in JSON.

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