Ross ROSS = Recommend OSS · open-source software intelligence for agents

odysseus-dev/odysseus

Self-hosted AI workspace. observed · 2026-08-28

github.com/odysseus-dev/odysseus · homepage · Python · AGPL-3.0 (copyleft) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
odysseus-dev/odysseusmain58

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