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Self-hosted AI workspace.
8402c388b4
Dispatcher seam: mark_dispatch, which runs inside the live Wave 3 binding scope immediately before backend invocation, now durably claims a possible effect before execution_id is assigned. If the claim cannot be persisted the action stays undispatched and the dispatcher returns BLOCKED; dispatched() closes the never-awaited coroutine. record_action appends the outcome (including cancellation/interruption) and admitted-read observations before the receipt reduction drops producer facts. Adapters consume only the bound operations the dispatcher admitted: filesystem bindings give exact scope and predicates (write_file content digest after fence unwrapping, apply_patch add/delete, edit existence); bash/python launches have unknown scope with the launch generation as lineage; job kills scope the exact job and its processes; owned operations scope their exact revisioned records; external backends are claimed as external and never verified by acknowledgement; browser session_info yields session lifecycle observations only, and a page binding is never effect scope. Complete read_file re-reads the exact bound source to digest it; offset/limit, truncation, extraction and listings are partial. Background launches stay RUNNING until an admitted read of the exact job generation (via a durable launch index, across continuation runs) reports settlement. Producer seams: typed job lifecycle facts on manage_bg_jobs reads/kills, a structured timed_out flag on containment timeouts, and mutation_attempted on in-place write_file/edit_file failures after truncation. Completion: the existing EvidenceLedger consumes effect assessments through a single helper used for the decision, ask_user and prose filtering. A required artifact is unsettled by a later unresolved effect that may have touched it, a fresh contradicting readback fails the decision, and partial reads no longer count as artifact validation. Ordinary conversation and read-only turns are unchanged; no second completion policy is introduced. |
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| ACKNOWLEDGMENTS.md | ||
| app.py | ||
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| build-windows-portable.ps1 | ||
| CONTRIBUTING.md | ||
| docker-compose.gpu-amd.yml | ||
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| LICENSE | ||
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| Odysseus.spec | ||
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| README.md | ||
| requirements-optional.txt | ||
| requirements.txt | ||
| ROADMAP.md | ||
| SECURITY.md | ||
| setup.py | ||
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| THREAT_MODEL.md | ||
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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:7011 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 Odysseus landing page. Its source lives under website/.
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.
- Keep
AUTH_ENABLED=truefor any network-accessible deployment. - Keep
LOCALHOST_BYPASS=falseoutside local development.
Deployment details are in the setup guide.
Star History
License
AGPL-3.0-or-later -- see LICENSE and ACKNOWLEDGMENTS.md.