Odysseus

─────────────────────────────────────────────── ⊹ ࣪ ˖ ૮( ˶ᵔ ᵕ ᵔ˶ )っ Odysseus vers. 1.0 ───────────────────────────────────────────────

A self-hosted AI workspace -- meant to be the self-hosted version of the UI experience you get from ChatGPT and Claude. But with more jank and fun. Running on your own hardware, with your own data -- local-first, privacy-first, and no trojan.

Features

• Chat -- chat with any local model or API; adding them is super simple.
  　_{vLLM · llama.cpp · Ollama · OpenRouter · OpenAI}
• Agent -- hand it tools and let it run the whole task itself.
  　_{built on opencode · MCP · web · files · shell · skills · memory}
• Cookbook -- Scans your hardware, recommends models, click to download and serve.. easy!
  　_{built on llmfit · VRAM-aware · GGUF / FP8 / AWQ · fit scoring · vLLM / llama.cpp serving}
• Deep Research -- multi-step runs that gather, read, and synthesize sources into a nice visual report.
  　_{adapted from Tongyi DeepResearch}
• Compare -- a fun tool to compare models side by side. Test completely blind, no bias!
  　_{multi-model · blind test · synthesis}
• Documents -- YOU write the text, AI is there to assist, not the opposite.
  　_{multi-tab editor · markdown · HTML · CSV · syntax highlighting · AI edits · suggestions}
• Memory / Skills -- Persistent memory and skills, your agent evolves over time as it better understands you and your tasks!
  　_{ChromaDB · fastembed (ONNX) · vector + keyword retrieval · import/export}
• Email -- IMAP/SMTP inbox with AI triage built in: urgency reminders, auto-tag, auto-summary, auto-reply drafts, auto-spam.
  　_{IMAP · SMTP · per-account routing · CalDAV-aware}
• Notes & Tasks -- Quick notes with reminders, a todo list, and scheduled tasks the agent can act on.
  　_{note pings · checklist · cron-style tasks · ntfy / browser / email channels}
• Calendar -- Local-first calendar with CalDAV sync to Radicale / Nextcloud / Apple / Fastmail.
  　_{CalDAV pull · .ics import/export · per-calendar colors · agent-aware}
• Works on mobile -- looks and runs great on your phone, not just desktop.
  　_{responsive · installable (PWA) · touch gestures}
• Extras -- more to explore, happy if you give it a go!
  　_{image editor · theme editor · file uploads (vision + PDF) · web search · presets · sessions · 2FA}

Demo

A full, hover-to-play tour lives on the landing page (docs/index.html).

Screenshots / clips

Chat & Agents

Deep Research

Compare

Documents

Notes & Tasks

Quick Start

Defaults work out of the box: clone, run, then configure models/search/email inside Settings. Only edit .env for deployment-level overrides like APP_BIND, APP_PORT, AUTH_ENABLED, DATABASE_URL, or a pre-seeded admin password.

On first setup, Odysseus creates an admin account (admin unless ODYSSEUS_ADMIN_USER is set) and prints a temporary password in the terminal. For Docker installs, the same line is in docker compose logs odysseus. Use that for the first login, then change it in Settings.

Contributing? See CONTRIBUTING.md for setup, testing, and pull request guidelines.

Docker (recommended)

git clone https://github.com/pewdiepie-archdaemon/odysseus.git
cd odysseus
cp .env.example .env       # optional, but recommended for explicit defaults
docker compose up -d --build

Open http://localhost:7000 when the containers are healthy. Docker Compose binds the web UI to 127.0.0.1 by default. If the port is taken, set APP_PORT=7001 in .env and recreate the container. Set APP_BIND=0.0.0.0 only when you intentionally want LAN/reverse-proxy access.

Native Linux / macOS

git clone https://github.com/pewdiepie-archdaemon/odysseus.git
cd odysseus
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python setup.py
python -m uvicorn app:app --host 127.0.0.1 --port 7000

Requirements: Python 3.11+. Cookbook also needs tmux for background model downloads and serves. Use --host 0.0.0.0 only when you intentionally want LAN/reverse-proxy access.

Apple Silicon

Docker on macOS cannot use the Metal GPU. For GPU-accelerated Cookbook on an M-series Mac, run Odysseus natively:

git clone https://github.com/pewdiepie-archdaemon/odysseus.git
cd odysseus
./start-macos.sh

It launches at http://127.0.0.1:7860. To expose it to your phone over a trusted LAN/VPN such as Tailscale, bind all interfaces:

ODYSSEUS_HOST=0.0.0.0 ./start-macos.sh
# then open http://<tailscale-ip>:7860

Keep auth enabled when binding outside loopback, and do not expose this port directly to the public internet. To build a clickable app wrapper:

./build-macos-app.sh

Cookbook, GPU, Ollama, and troubleshooting notes

Docker bundled services. Compose starts Odysseus, ChromaDB, SearXNG, and ntfy. Odysseus and the bundled service ports bind to 127.0.0.1 by default, so they are reachable from the host but not exposed to your LAN/public internet unless you opt in.

Cookbook storage in Docker. Downloads live in ./data/huggingface (~/.cache/huggingface in the container). Cookbook-installed Python CLIs and serve engines live in ./data/local (~/.local in the container), so they survive container recreation.

Remote servers. In Cookbook -> Settings -> Servers, generate the Odysseus SSH key and add the public key to the remote server's ~/.ssh/authorized_keys. From the host you can also run:

ssh-copy-id -i data/ssh/id_ed25519.pub user@server

NVIDIA Docker GPU overlay. CPU-only users can skip this section. scripts/check-docker-gpu.sh diagnoses GPU passthrough and can optionally install the host runtime or update .env. Cookbook can only detect GPUs that Docker exposes to the container — if the host runtime is not configured, Cookbook sees the iGPU, another card, or CPU instead of your NVIDIA GPU.

# Read-only diagnostic (default — installs nothing, never edits .env):
scripts/check-docker-gpu.sh

# Print OS-specific install commands without running them:
scripts/check-docker-gpu.sh --print-install-commands

# Install NVIDIA Container Toolkit on Ubuntu/Debian (requires sudo):
scripts/check-docker-gpu.sh --install-nvidia-toolkit

# Write COMPOSE_FILE to .env (only when GPU passthrough is confirmed working):
scripts/check-docker-gpu.sh --enable-nvidia-overlay

# Full assisted setup — install toolkit, then enable overlay if passthrough works:
scripts/check-docker-gpu.sh --install-nvidia-toolkit --enable-nvidia-overlay

Safety notes:

• The app never installs host GPU runtime automatically.
• The app never edits .env automatically.
• .env is only modified when --enable-nvidia-overlay is explicitly passed, and only after GPU passthrough succeeds. --yes skips prompts but does not bypass the passthrough gate.
• .env.bak.* backups created by --enable-nvidia-overlay are ignored by Git and the Docker build context.

To enable manually without the script, add this to .env:

COMPOSE_FILE=docker-compose.yml:docker/gpu.nvidia.yml

AMD / ROCm. AMD GPU passthrough is not automated. Add manually:

COMPOSE_FILE=docker-compose.yml:docker/gpu.amd.yml

Verify after enabling either overlay:

docker compose exec odysseus nvidia-smi -L   # NVIDIA
docker compose exec odysseus rocm-smi        # AMD

GPU passthrough ≠ llama.cpp CUDA. nvidia-smi passing inside the container confirms Docker GPU access, but llama.cpp also needs cudart and the CUDA Toolkit at runtime. If Cookbook logs show Unable to find cudart library, Could NOT find CUDAToolkit, CUDA Toolkit not found, or tensors/layers assigned to CPU, that is a Cookbook/llama.cpp build issue — not a Docker passthrough failure. Re-install the serve engine via Cookbook → Dependencies to get a CUDA-enabled build.

Ollama with Docker. If Ollama runs on the host, add this endpoint in Settings:

http://host.docker.internal:11434/v1

Ollama must listen outside its own loopback interface:

OLLAMA_HOST=0.0.0.0:11434 ollama serve

Useful checks.

docker compose ps
docker compose logs --tail=120 odysseus
docker compose logs odysseus | grep -E 'ChromaDB|MemoryVectorStore|DEGRADED'

macOS details. start-macos.sh installs Homebrew deps, creates the venv, runs setup, and starts uvicorn on port 7860 because AirPlay often holds 7000. It uses llama.cpp/Ollama for Metal. vLLM/SGLang are CUDA/ROCm-only and do not run on macOS. MLX-only models are not served by Odysseus.

Native Windows

One-command launcher (creates the venv, installs deps, runs setup, starts the server; safe to re-run):

git clone https://github.com/pewdiepie-archdaemon/odysseus.git
cd odysseus
powershell -ExecutionPolicy Bypass -File .\launch-windows.ps1

Or do it by hand:

git clone https://github.com/pewdiepie-archdaemon/odysseus.git
cd odysseus
py -3.11 -m venv venv
venv\Scripts\Activate.ps1
pip install -r requirements.txt
python setup.py
python -m uvicorn app:app --host 127.0.0.1 --port 7000

If python points at an older interpreter, use py -3.12 (or another installed 3.11+ version) for the venv step.

Requirements: Python 3.11+. The core app (chat, agent, memory, documents, email, calendar, deep research) runs fully native. For full Cookbook background model downloads and the agent shell tool, also install Git for Windows (provides bash.exe). Local GPU serving of vLLM/SGLang needs Linux/WSL2; for a local model on Windows, Ollama is the easiest path — point Odysseus at http://localhost:11434/v1 in Settings.

Open http://localhost:7000, log in with the generated admin password, and configure everything else inside Settings.

Security Notes

Odysseus is a self-hosted workspace with powerful local tools: shell access, file uploads, model downloads, web research, email/calendar integrations, and API tokens. Treat it like an admin console.

• Keep AUTH_ENABLED=true for any network-accessible deployment.
• Do not expose it directly to the public internet without HTTPS and a trusted reverse proxy.
• Keep data/, .env, logs, databases, and uploaded/generated media out of Git. They are ignored by default.
• Review data/auth.json after first boot: disable open signup unless you intentionally want it, make only your own account admin, and keep demo/test accounts non-admin.
• Non-admin users do not get shell/Python/file read/write by default, and admin-only routes/tools such as MCP management, API tokens, webhooks, model/cookbook serving, backup/vault, and app settings are admin-gated. Other features are controlled by per-user privileges, so review each user's privileges before exposing a deployment.
• Rotate any API keys or tokens that were ever pasted into a shared chat, demo, screenshot, or log.
• If you enable API tokens or webhooks, create separate tokens per integration and delete unused ones.
• Prefer binding manual development runs to 127.0.0.1; bind to 0.0.0.0 only when you intentionally want LAN/reverse-proxy access.
• Before publishing a fork, run git status --short and confirm no private files from .env, data/, logs/, uploads, backups, or local databases are staged.

Putting it behind HTTPS

Odysseus serves plain HTTP on its port. That's fine for localhost and trusted LAN/VPN use, but browsers will warn ("Password fields present on an insecure page") and the login + API tokens travel in cleartext. For anything reachable outside your machine — including a Tailscale IP shared with other devices — put a TLS-terminating reverse proxy in front.

Shortest path with Caddy (auto-renews Let's Encrypt certs):

odysseus.example.com {
  reverse_proxy localhost:7000
}

For a LAN-only Tailscale deployment, Caddy + tailscale-cert or the built-in MagicDNS HTTPS feature both work. nginx/Traefik configs are similar — proxy localhost:7000, terminate TLS at the proxy. Once that's in place, the browser warning goes away and your login is encrypted.

Contributing

Help is welcome. The best entry points are fresh-install testing, provider setup bugs, mobile/editor polish, docs, and small focused refactors. See ROADMAP.md for the current help-wanted list.

Configuration

Most setup is done inside the app with /setup or Settings. Use .env for deployment-level defaults and secrets you want present before first boot. Key settings:

Variable	Default	Description
LLM_HOST	localhost	Your LLM server (e.g. llm-host.local:8000)
LLM_HOSTS	--	Comma-separated list for model discovery
OPENAI_API_KEY	--	Optional OpenAI key. Prefer adding providers in the app unless pre-seeding.
SEARXNG_INSTANCE	http://localhost:8080	SearXNG URL. Docker overrides this to http://searxng:8080.
SEARXNG_SECRET	generated on first Docker boot	Optional SearXNG cookie/CSRF secret. Leave blank unless you need to pin it.
APP_BIND	127.0.0.1	Docker Compose host bind address for the web UI. Use 0.0.0.0 only for intentional LAN/reverse-proxy access.
APP_PORT	7000	Docker Compose host port for the web UI.
AUTH_ENABLED	true	Enable/disable login
LOCALHOST_BYPASS	false	Development-only auth bypass for loopback requests. Keep false for shared/network deployments.
DATABASE_URL	sqlite:///./data/app.db	Database connection string
CHROMADB_HOST	localhost	ChromaDB host for vector memory. Docker overrides this to chromadb.
CHROMADB_PORT	8100	ChromaDB port for manual host runs. Docker overrides this to 8000.
EMBEDDING_URL	--	OpenAI-compatible embeddings endpoint

Built-in MCP servers (optional setup)

Odysseus auto-registers a few built-in MCP servers at startup. The npx-based ones (currently the browser server, @playwright/mcp) only start when their npm package is already in the local npx cache. If a package isn't cached, that server is skipped with a startup log message explaining what to do, so a fresh install does not block on a multi-minute npm download or hang if Playwright system deps are missing.

To enable the browser MCP (page navigation, screenshots, vision), run once:

npx -y @playwright/mcp@latest --version

That installs @playwright/mcp plus Playwright (~300MB total). Restart Odysseus and the server will register at startup.

Architecture

app.py                   # FastAPI entry point
core/      auth, database, middleware, constants
src/       llm_core, agent_loop, agent_tools, chat_processor, search/
routes/    chat, session, document, memory, model … endpoints
services/  docs, memory, search, hwfit (Cookbook) …
static/    index.html + app.js + style.css + js/ (modular front-end)
docs/      landing page (index.html) + preview clips

Data

All user data lives in data/ (gitignored): app.db (sessions, messages, documents), memory.json, presets.json, uploads/, personal_docs/, chroma/, settings.json.

Star History

License

MIT -- see LICENSE and ACKNOWLEDGMENTS.md.

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