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    1. Home
    2. Tools
    3. Odysseus
    O

    Odysseus

    Local Inference

    A self-hosted, local-first AI workspace with chat, agents, deep research, email, calendar, documents, and memory — running on your own hardware.

    Visit Website

    At a Glance

    Pricing
    Open Source

    Fully free and open-source under the MIT license. Self-host on your own hardware.

    Engagement

    Available On

    Windows
    macOS
    Linux
    iOS
    Web

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Local InferenceConversational AgentsKnowledge Management

    Alternatives

    JanProject N.O.M.A.D.Open WebUI
    Developer
    pewdiepie-archdaemonpewdiepie-archdaemon builds Odysseus, a self-hosted, local-f…

    Listed Jun 2026

    About Odysseus

    Odysseus is an open-source, self-hosted AI workspace built to replicate the UI experience of ChatGPT and Claude while keeping all data on your own hardware. Licensed under MIT, it runs on Linux, macOS, and Windows via Docker or native Python, and is installable as a PWA on mobile. The project is hosted at github.com/pewdiepie-archdaemon/odysseus and, according to the repository, has accumulated over 34,000 stars since its creation in May 2026.

    What It Is

    Odysseus is a local-first, privacy-first AI workspace that bundles chat, autonomous agents, deep research, document editing, email, calendar, notes, and persistent memory into a single self-hosted web application. It is designed as an alternative to cloud-based AI assistants for users who want full control over their data and model choices. The core stack is FastAPI (Python) on the backend with a modular JavaScript front-end, and it uses ChromaDB for vector memory and SearXNG for web search.

    Feature Set

    Odysseus ships a broad set of integrated capabilities out of the box:

    • Chat — connects to local models (vLLM, llama.cpp, Ollama) and remote APIs (OpenRouter, OpenAI); adding providers is done through Settings.
    • Agent — built on opencode with MCP support, web, files, shell, skills, and persistent memory tools; hands off full tasks autonomously.
    • Cookbook — scans hardware, recommends VRAM-appropriate models (GGUF/FP8/AWQ), and handles one-click download and serving via vLLM or llama.cpp.
    • Deep Research — multi-step runs that gather, read, and synthesize sources into a visual report; adapted from Tongyi DeepResearch.
    • Compare — side-by-side blind model comparison with synthesis.
    • Documents — multi-tab editor supporting Markdown, HTML, and CSV with AI-assisted edits and suggestions.
    • Email — IMAP/SMTP inbox with AI triage: urgency reminders, auto-tag, auto-summary, auto-reply drafts, and spam filtering; CalDAV-aware.
    • Calendar — local-first calendar with CalDAV sync to Radicale, Nextcloud, Apple, and Fastmail.
    • Memory / Skills — persistent vector + keyword memory via ChromaDB and fastembed (ONNX); importable and exportable.
    • Notes & Tasks — quick notes with reminders, checklists, and cron-style scheduled tasks with ntfy/browser/email notification channels.
    • Mobile — responsive PWA with touch gestures, installable on phones.

    Architecture and Deployment

    The application is structured around a FastAPI entry point (app.py) with modules for auth, database, middleware, LLM core, agent loop, agent tools, chat processing, and search. All user data lives in a local data/ directory: SQLite for sessions and messages, ChromaDB for vector memory, and flat files for settings and presets.

    Docker Compose is the recommended deployment path and bundles Odysseus, ChromaDB, SearXNG, and ntfy, all bound to 127.0.0.1 by default. Native installs on Linux, macOS (including Apple Silicon with Metal GPU support via start-macos.sh), and Windows are also supported. GPU passthrough for NVIDIA (CUDA) and AMD (ROCm) is handled through optional Docker overlay files and diagnostic scripts included in the repository.

    Setup Path

    The quickest start is three commands:

    1. git clone, cp .env.example .env, docker compose up -d --build
    2. Open http://localhost:7000 and log in with the generated admin password printed in the container logs.
    3. Configure models, search, and email inside Settings — no .env edits required for basic use.

    Optional dependencies in requirements-optional.txt unlock local speech-to-text via faster-whisper, DuckDuckGo search, PDF rendering via PyMuPDF, and Office/EPUB document extraction via markitdown.

    Security Model

    The README treats Odysseus as an admin console given its shell access, file uploads, model downloads, and API token management. Key defaults include AUTH_ENABLED=true, LOCALHOST_BYPASS=false, and all bundled service ports bound to loopback. The recommended production pattern is to terminate HTTPS at a reverse proxy (Caddy, nginx, Traefik, Cloudflare Access, or Tailscale) and keep raw service ports internal-only. Non-admin users are restricted from shell, file read/write, MCP management, and app settings by default; per-user privileges are configurable.

    Community Discussions

    Be the first to start a conversation about Odysseus

    Share your experience with Odysseus, ask questions, or help others learn from your insights.

    Pricing

    OPEN SOURCE

    Open Source

    Fully free and open-source under the MIT license. Self-host on your own hardware.

    • Chat with local and remote models
    • Autonomous agent with MCP support
    • Cookbook model management
    • Deep Research
    • Document editor

    Capabilities

    Key Features

    • Self-hosted AI chat with local and remote model support
    • Autonomous agent with MCP, web, files, shell, skills, and memory tools
    • Cookbook: VRAM-aware model recommendations, one-click download and serving
    • Deep Research: multi-step source gathering and synthesis
    • Side-by-side blind model comparison
    • Multi-tab document editor (Markdown, HTML, CSV) with AI assistance
    • IMAP/SMTP email inbox with AI triage (urgency, auto-tag, auto-summary, auto-reply, spam)
    • CalDAV calendar sync (Radicale, Nextcloud, Apple, Fastmail)
    • Persistent vector + keyword memory via ChromaDB and fastembed
    • Notes, checklists, and cron-style scheduled tasks
    • PWA mobile support with touch gestures
    • 2FA authentication
    • Image editor and theme editor
    • File uploads with vision and PDF support
    • Web search via SearXNG
    • Docker Compose deployment with bundled ChromaDB, SearXNG, and ntfy
    • NVIDIA and AMD GPU passthrough support
    • Optional local speech-to-text via faster-whisper
    • Optional DuckDuckGo search provider
    • Optional PDF rendering via PyMuPDF
    • Optional Office/EPUB extraction via markitdown

    Integrations

    Ollama
    vLLM
    llama.cpp
    OpenRouter
    OpenAI
    ChromaDB
    SearXNG
    ntfy
    CalDAV
    Radicale
    Nextcloud
    Apple Calendar
    Fastmail
    IMAP
    SMTP
    MCP (Model Context Protocol)
    Playwright (browser MCP)
    Tailscale
    Cloudflare Access
    Caddy
    nginx
    Traefik
    DuckDuckGo
    faster-whisper
    PyMuPDF
    markitdown
    API Available
    View Docs

    Reviews & Ratings

    No ratings yet

    Be the first to rate Odysseus and help others make informed decisions.

    Developer

    pewdiepie-archdaemon

    pewdiepie-archdaemon builds Odysseus, a self-hosted, local-first AI workspace released under the MIT license. The project provides a privacy-focused alternative to cloud AI assistants, running entirely on the user's own hardware with support for local models and remote APIs. The repository is community-driven and open to contributions across testing, provider integrations, mobile polish, and documentation.

    Read more about pewdiepie-archdaemon
    WebsiteGitHub
    1 tool in directory

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