GoKawiilAI coding and workspace platforms are a dime a dozen these days, but I couldn’t help but be surprised to see that PewDiePie has developed an AI workspace called Odysseus. The YouTuber is, perhaps surprisingly, pretty hot on powerhouse Linux and AI tools. If you’re not familiar with an AI workspace, it’s a platform that allows AI to interact with other tools and data; it could be a coding workspace or a way to have AI help out with your documents and emails.
What initially caught my interest about Odysseus is its privacy-first approach. It’s designed to be self-hosted and is easy enough to compile into a Docker image to run on my DIY NAS. This has the obvious benefit that emails, documents, personal information, and anything else you share with your large language models of choice remain yours, not saved and potentially exploited by a third-party company.
Privacy is just the first of many convincing Odysseus features.
As such, Odysseus is geared towards self-hosting your own AI models as well, ensuring that absolutely no data leaves your premises. One of the first creature comforts is the “Cookbook,” which surfaces the wide range of models and their quantized variants hosted on Hugging Face, and ranks them by compatibility and size relative to your GPU. As someone who’s dabbled in LM Studio and Ollama for hosting some small local models, this is a familiar and more user-friendly way to test and manage models on your own hardware.
However, for someone who balks at the current price of cutting-edge RAM and GPUs, I’m not in a position to run some of the most powerful models on my own hardware. Thankfully, Odysseus supports bringing your own inexpensive cloud-hosted models via OpenRouter or similar API key setups for an acceptable halfway house. The data stays with me; I just have to trust that API endpoints aren’t logging all my chats.
Once you’re set up with your model(s) of choice, the real fun can begin.
Familiar AI features without the subscriptions
Odysseus' deep research tool formats results into a nice looking web page.
As someone forever digging through technical specifications and getting my head around emerging tech topics, I’ve become a fan of the deep research tools you’ll find at the likes of ChatGPT and Gemini. While I don’t trust the results outright, deep research can be a great starting point for diving deeper into a project or for grabbing a summary of a well-established field. But as handy as these are, I’m not prepared to lay down $20 to increase the limits to some still-often-restrictive 25 or so queries a month.
How much do you trust AI tools for research? 8428 votes I trust it fully, it's a real-time saver. 9 % I trust it but always double-check the facts. 64 % I'm still skeptical of anything AI tells me. 22 % I don't use AI for research at all. 5 %
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