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Open-source, self-hosted AI workspace for chat, agents, deep research, documents, email, notes and calendar.

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Odysseus at a glance

What is Odysseus?
Odysseus is an app from PewDiePie. Open-source, self-hosted AI workspace for chat, agents, deep research, documents, email, notes and calendar.
Who makes Odysseus?
Odysseus is made by PewDiePie.
Does Odysseus work in the EU?
Available in the EU. Self-hosted AGPL-3.0 software run on your own infrastructure via Docker, with no regional restrictions or vendor-hosted service; usable in the EU/EEA. Data stays local except for whichever model providers you connect. Last verified 14 Nov 2026.
How much does Odysseus cost?
Open source, open source. Free to self-host under AGPL-3.0-or-later; costs depend on the model providers or local hardware you connect. Licence: AGPL-3.0-or-later.
Where was Odysseus shown?
In 1 creator video by Matt Wolfe. Most recently by Matt Wolfe on 17 Jun 2026, at 0:00 in “I Tried PewDiePie’s Odysseus AI So You Don’t Have To (Its FREE)”.

Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

Odysseus is a self-hosted AI workspace published by PewDiePie under the odysseus-dev GitHub organisation. It runs as a Docker Compose stack (default port 7011) and connects to local models or API providers, bundling several tools in one web interface rather than acting as a model itself.

The feature set listed in the README covers chat and agents (tools, MCP, files, shell, skills, memory), a Cookbook for hardware-aware model recommendations and serving, multi-step Deep Research with report generation, blind side-by-side model Compare, a writing-focused document editor, an IMAP/SMTP email client with triage and reply drafts, notes, tasks and CalDAV calendar sync, plus a gallery/image editor, web search, presets, sessions and 2FA.

It is aimed at users who want to host their own AI front end. The README warns that it exposes powerful local tools, so authentication should stay enabled for any network-accessible deployment. In a YouTube review, Matt Wolfe found deep research, compare and memory worked well on a Mac, but the image editor/in-painting and agent features did not work for him. The project is under active development, with a dev branch for the newest changes and a more curated main branch.

Key features
  • Chat and agents with local/API models, MCP, files, shell, skills and memory
  • Deep Research with multi-step web research and report generation
  • Blind side-by-side model Compare and synthesis
  • Documents editor, IMAP/SMTP email, notes, tasks and CalDAV calendar
  • Cookbook for hardware-aware model recommendations and serving
  • Docker Compose self-hosting with auth and 2FA
1 moment

As seen on YouTube

Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.

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