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I Tried PewDiePie’s Odysseus AI So You Don’t Have To (Its FREE)

2026-06-17 Science & Technology
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Matt Wolfe
Matt Wolfe
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Description

Try Recraft V4.1 now and experience an image generation model with exceptional visual taste : https://go.recraft.ai/MattWolfe PewDiePie built an open source AI workspace called Project Odysseus and I put it through its paces so you don't have to. Odysseus is a self-hosted AI platform that lets you run local AI models, connect APIs, do deep research, manage files, and keep your data completely off the cloud. Think ChatGPT or Claude but running on your own machine, with your own models, and full privacy control. In this video I install it on my M3 Mac, connect local models through Ollama, run model comparisons between Gemma 3 12B and GPT 5.5, test the deep research module, and explore every feature the app has to offer including the brain memory system, the model comparison scoreboard, and the image editor (spoiler: some things work great, some things I absolutely could not get to work no matter how hard I tried). If you've ever wanted to run AI completely offline without paying API fees or sending your data to a server, this is worth knowing about. Discover More: 🛠️ Explore AI Tools & News: https://futuretools.io/ 📰 Weekly Newsletter: https://futuretools.io/newsletter Socials: ❌ Twiter/X: https://x.com/mreflow 🖼️ Instagram: https://instagram.com/mr.eflow 🧵 Threads: https://www.threads.net/@mr.eflow 🟦 LinkedIn: https://www.linkedin.com/in/matt-wolfe-30841712/ 👍 Facebook: https://www.facebook.com/mattrwolfe Resources From Today's Video: https://pewdiepie-archdaemon.github.io/odysseus/ https://github.com/pewdiepie-archdaemon/odysseus https://www.youtube.com/watch?v=rAzT5lcezPs&pp=ygUJcGV3ZGllcGll https://ollama.com/ Let’s work together! - Brand, sponsorship & business inquiries: [email protected] #AITools #LocalAI #PewDiePie Time Stamps: 00:00 PewDiePie's Secret AI Project 00:23 What Odysseus Actually Is 01:39 GitHub Setup & Install 04:18 Sponsor: Recraft 06:12 Sidebar Tour 07:04 Connecting Ollama & Local Models 08:13 Testing The Local Model 09:50 Adding OpenAI's API 10:41 Trying A Bigger Local Model 11:18 Brain Memory 11:49 Model Compare & SVG Test 16:39 Deep Research Test 21:01 Scoreboard Results 23:01 Calendar, Gallery & Notes Tour 23:54 Fighting The Image Editor 27:13 What Worked, What Didn't 29:43 The Future Of Local AI 31:00 Final Thoughts

Top Comments (10)

@derpatwerknsubbers1680 2026-06-17

Last person on earth I’d expect to release open software? Kim Jong Un. 😅

74 6 replies
@KarmandarkK 2026-06-17

Those who watch pewdiepie videos already knew he was making local AI vrs.

20 6 replies
@oneknight 2026-06-17

self-hosted and on-premise models and solutions are the only future that makes sense if companies want to save the horrific overblown costs. there is no need for state of the art technologies when there are free and opensource alternatives that are just "good enough"

18 4 replies
@lukascook8477 2026-06-17

Basically, LM Studio + Opencode....

11 2 replies
@adversaryproductions5298 2026-06-17

I’ve played with it a little, it’s cool and will probably get better 😊

5
@LilGothGhost 2026-06-18

The "Together AI" Fallacy: At [09:01], Matt asks the local model Gemma 3 12B who made Odysseus. The model hallucinations say it was developed by Together AI. Matt notes that the app "doesn't know thyself" [09:14], but he attributes this to a failure of Odysseus. In reality, this is purely a limitation of the local model's pre-training cutoff and its complete lack of internal self-context. Local weights do not inherently know what codebase interface they are running inside without explicit system-prompt injection or RAG-based context parsing. BUT the video is a realistic, practical critique of the current state of advanced, local-first AI tooling. It rightly concludes that Odysseus is a fantastic playground blueprint for developers, power users, and data-sovereignty hobbyists who want an all-in-one ecosystem [28:25], but it still possesses the natural dependency friction and edge-case errors common to bleeding-edge, open-source codebases [01:40]. Thanks fr this and all your takes and info, Mr. W :)

4
@DriverSensei 2026-06-17

The inpainting is about as complicated as Leonard's canvas feature

4
@randfur 2026-06-17

8:30 needs a bit more scepticism when using an LLM, especially a low tier one. Just because it sounds like it knows doesn't mean it actually knows, it was just highly probable to output an answer that sounds like it knows.

3
@pope_kael 2026-06-18

Funny timing, Matt. I've been stuck on exactly this problem for months. Too many AI tools, too many tabs, and too much context switching trying to remember which model does what best. That rabbit hole turned into a design project I call "Ariadne", an AI librarian that helps navigate the growing AI ecosystem. Then I wake up this morning and Odysius lands in my feed. 😂 Not quite the same vision, but definitely scratching the same itch. Now I just need to see if my poor GTX 1050 Ti can survive the experience without bursting into flames.

3
@TheGhostOfKarazhan 2026-06-18

It's a good start and more technically minded people will help the project, so it will surely get better.

1

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