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What is Odysseus?

Odysseus is a comprehensive self-hosted AI workspace that brings together conversational AI, autonomous agents, model management, research tools, productivity features, and personalization capabilities in a single open-source platform. Designed to run on user-owned hardware, the platform enables individuals and organizations to interact with language models while maintaining complete control over data, infrastructure, and privacy. Users can connect local models, external APIs, or custom AI endpoints to create a tailored AI environment that fits their workflows. The platform’s chat and agent capabilities support complex multi-step tasks, tool usage, and autonomous execution, allowing AI systems to perform more than simple conversational interactions. Built-in integrations provide access to files, shell commands, web tools, memory systems, and MCP-compatible services that extend the platform’s capabilities. Odysseus includes a Deep Research module that gathers, analyzes, and synthesizes information into detailed reports, helping users conduct research more efficiently. A model comparison feature allows users to send prompts to multiple language models simultaneously and evaluate the results side by side. Persistent memory functionality enables the AI assistant to retain relevant context and knowledge across conversations, creating a more personalized experience. Additional features such as email assistance, notes, tasks, document management, image galleries, themes, and model-serving tools transform the platform into a full-featured AI workspace. Its hardware-aware model recommendations and support for hundreds of language models help users optimize performance based on available resources. By combining privacy-first architecture, extensive AI functionality, open-source flexibility, and local deployment, Odysseus provides a powerful environment for users seeking complete control over their AI workflows.

What is Atlas Workspace?

Atlas Workspace is a visual and verifiable AI research workspace for understanding papers and synthesizing information across a project. Add PDFs, websites, YouTube videos, and research notes to your library. Explore the structure of an individual paper through its Knowledge Map, or use a Semantic Map to see connections across project materials. Ask questions across your sources and trace answers to relevant passages. Keep linked notes and save cited results as your research develops. Literature discovery helps you find relevant work beyond your existing library and add sources to your project. Atlas runs on the web and offers a free plan plus a paid Pro subscription.

Media

Media

Integrations Supported

Anthropic
Claude
Gemini
Kimi K2.6
Kimi K2.7 Code
Kimi K3
Model Context Protocol (MCP)
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
Muse Wonder
OpenAI
Qwen 4
Qwen3.7-Max
Qwen3.8-2.4T-A95B
Qwen3.8-27B
Qwen3.8-Flash-Next
Qwen3.8-Max
Qwen3.8-Omni-Flash
Step 5 Preview

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

$0
Free plan: up to 10 sources and 5 AI messages. Pro: US$20/month or US$192/year (US$16/month equivalent, billed annually).
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

PewDiePie

Date Founded

2026

Company Website

pewdiepie-archdaemon.github.io/odysseus/

Company Facts

Organization Name

Atlas Workspace

Date Founded

2025

Company Location

Singapore

Company Website

www.atlasworkspace.ai/

Categories and Features

AI Agents

Not specified

AI Tools

Not specified

AI Workspaces

Not specified

Confidential AI

Not specified

Categories and Features

AI Workspaces

Not specified

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