odysseus-dev/odysseus
Self-hosted AI workspace. observed · 2026-08-28
Health v2 · maintenance only
58/100
- Activity 99
- Release rhythm 35
- Longevity 6
Flags: no_releases young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 94
- days_rel: n/a
- days_push: 8
- n_releases_24m: 0
Adoption not part of the score
86318 stars · 670 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Odysseus is a self-hosted, privacy-first AI workspace that combines chat, autonomous agents, tools/MCP integration, model serving, and deep research in a single web application. It also bundles productivity features like an AI-assisted document editor, IMAP/SMTP email triage, notes, tasks, calendar with CalDAV sync, and persistent memory.
Use cases
- self-host an AI chat interface for local and API language models
- run autonomous AI agents with tools, shell access, and MCP servers
- get hardware-aware recommendations for which local models to download and serve
- automate multi-step web research and generate cited reports
- triage my email inbox with AI summaries and draft replies
- compare multiple LLMs side by side on the same prompt
- manage notes, todos, and calendar with AI-assisted scheduling
- keep an AI assistant with persistent memory fully private on my own hardware
When to choose
- you want a single self-hosted app combining chat, agents, research, email, and notes instead of separate tools
- privacy matters: no telemetry, everything runs on your hardware against your own endpoints
- you want to run and compare local models with hardware-aware recommendations
- you need agent capabilities with MCP, shell, files, and web tools in one workspace
When to avoid
- you only need a lightweight chat UI without workspace features like email or calendar
- you cannot run Docker or manage a self-hosted deployment with auth and security hardening
- you need a managed cloud service with vendor support
- you require multi-user enterprise collaboration features at scale
Facets
application · maturity active
chatbot agent-framework rag mcp llm-inference email web-scraping self-hosted chat-interface artificial-intelligence large-language-models self-hosted developer-tools privacy self-hosted windows python ai-workspace local-first local-models deep-research model-comparison caldav imap-smtp no-telemetry ai-agents docker linux macos web-server
2 sources
- readme: https://github.com/odysseus-dev/odysseus · fetched 2026-08-28 · 9caaeb8dd94e
- homepage: https://odysseus-dev.github.io/odysseus · fetched 2026-08-28 · fac4e1762544
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| odysseus-dev/odysseus | main | 58 |
For agents
markdown · JSON · MCP: product_card(name="odysseus-dev/odysseus")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem