The 10s read budget holds for a warm endpoint — embedding a short string does return in well under a second, as the comment says. But the FIRST call after a cold start also pays for loading the embedding model into memory, and on a modest or busy machine that is comfortably past 10s. The failure is silent, which is the part worth fixing. The timeout fires, the lane produces no vectors, its collection stays empty, and retrieval degrades to whatever other lane happens to be populated. Nothing marks the endpoint as the cause, so the symptom shows up much later as poor retrieval quality rather than as an embedding error — in our case French queries ranking badly because only the English-only fallback lane had any content. Adds EMBEDDING_TIMEOUT alongside the existing EMBEDDING_BATCH_SIZE and EMBEDDING_MAX_CHARS, floored at 1s. The default is unchanged at 10s, so nothing moves for existing installs; a slow first load can now be given room without patching. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
||
|---|---|---|
| .github | ||
| companion | ||
| config/searxng | ||
| core | ||
| docker | ||
| docs | ||
| integrations | ||
| licenses | ||
| mcp_servers | ||
| routes | ||
| scripts | ||
| services | ||
| specs | ||
| src | ||
| static | ||
| swift/odysseus-mlx-image-bridge | ||
| tests | ||
| .dockerignore | ||
| .env.example | ||
| .gitattributes | ||
| .gitignore | ||
| ACKNOWLEDGMENTS.md | ||
| app.py | ||
| build-macos-app.sh | ||
| build-windows-portable.ps1 | ||
| CONTRIBUTING.md | ||
| docker-compose.gpu-amd.yml | ||
| docker-compose.gpu-nvidia.yml | ||
| docker-compose.yml | ||
| Dockerfile | ||
| install-service.sh | ||
| launch-windows.ps1 | ||
| launcher.py | ||
| LICENSE | ||
| odysseus-ui.service | ||
| Odysseus.spec | ||
| package-lock.json | ||
| package.json | ||
| pyproject.toml | ||
| README.md | ||
| requirements-optional.txt | ||
| requirements.txt | ||
| ROADMAP.md | ||
| SECURITY.md | ||
| setup.py | ||
| start-macos.sh | ||
| THREAT_MODEL.md | ||
| update_windows.bat | ||
A self-hosted AI workspace for chat, agents, research, documents, email, notes, calendar, and local model workflows.
Quick Start · Setup Guide · Contributing · Roadmap
Quick Start
devis the default branch and gets the newest changes first. Usemainif you want the more curated branch.
git clone https://github.com/odysseus-dev/odysseus.git
cd odysseus
cp .env.example .env
docker compose up -d --build
Open http://localhost:7000 when the containers are healthy. The first admin password is printed in docker compose logs odysseus.
Native installs, GPU notes, Windows/macOS instructions, HTTPS, and configuration live in the setup guide.
Features
- Chat + Agents — local/API models, tools, MCP, files, shell, skills, and memory.
- Cookbook — hardware-aware model recommendations, downloads, and serving.
- Deep Research — multi-step web research with source reading and report generation.
- Compare — blind side-by-side model testing and synthesis.
- Documents — writing-first editor with AI edits, suggestions, Markdown, HTML, CSV, and syntax highlighting.
- Email — IMAP/SMTP inbox with triage, tags, summaries, reminders, and reply drafts.
- Notes, Tasks + Calendar — reminders, todos, scheduled agent tasks, and CalDAV sync.
- Extras — gallery/image editor, themes, uploads, web search, presets, sessions, and 2FA.
Demo
A full hover-to-play tour lives on the landing page: docs/index.html.
Contributing
Help is welcome. The best entry points are fresh-install testing, provider setup bugs, mobile/editor polish, docs, and small focused refactors. See CONTRIBUTING.md and ROADMAP.md.
Security
Odysseus is a self-hosted workspace with powerful local tools. Keep auth enabled, keep private data out of Git, and do not expose raw model/service ports publicly. Deployment details are in the setup guide.
Star History
License
AGPL-3.0-or-later -- see LICENSE and ACKNOWLEDGMENTS.md.