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

Odysseus AI Workspace

Some data may be outdated — see provenance labels.

Self-hosted AI workspace. observed · 2026-09-23

github.com/odysseus-dev/odysseus · homepage · Python · AGPL-3.0 (copyleft) observed · 2026-09-23

Health v2 · maintenance only

57/100

  • Activity 95
  • Release rhythm 35
  • Longevity 10

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 142
  • days_rel: n/a
  • days_push: 33
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

87526 stars · 947 forks observed · 2026-09-23

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Odysseus is a self‑hosted AI workspace that combines chat, agents, document editing, email, notes, and calendar features with local model serving. It runs via Docker and provides a web UI for managing AI‑driven workflows.

Use cases

  • Run a private AI chat assistant with tool integration on my own hardware
  • Automate research tasks by having agents browse the web, read sources, and generate reports
  • Manage emails, notes, tasks, and calendar events with AI‑assisted triage and drafting
  • Compare multiple LLMs side‑by‑side to evaluate performance on specific prompts
  • Edit documents using AI suggestions, markdown rendering, and syntax highlighting

When to choose

  • You need a fully self‑hosted solution that keeps all data on‑premise
  • You want an integrated UI for chat, agents, email, and document workflows
  • You have GPU resources and want to serve local LLMs without external APIs
  • You require fine‑grained security controls such as auth and 2FA

When to avoid

  • You prefer a lightweight CLI‑only tool without a web UI
  • You need a hosted SaaS service with zero‑maintenance deployment
  • Your environment lacks Docker or cannot run containers
  • You require deep custom model training rather than inference

Facets

application · maturity active

chatbot agent-framework email web-scraping file-upload auth api-gateway artificial-intelligence large-language-models chatbots developer-tools web-development windows self-hosted python self-hosted-ai-workspace model-serving mcp calendar-sync caldav 2fa themeable gpu-accelerated document-editor retrieval-augmented-generation docker linux macos web-server

1 source

Member repositories

RepositoryRoleHealth v2
odysseus-dev/odysseusmain57
odysseus-dev/odysseus-currentmirror55

For agents

markdown · JSON · MCP: product_card(name="odysseus-dev/odysseus")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem