head to head · open source

odysseus vs magentic

odysseus has 94,896 GitHub stars, 1,847 forks, 1,233 open issues and last shipped yesterday. magentic has 2,428 stars, 133 forks, 50 open issues and last shipped 3 days ago. odysseus leads on adoption by 3,808% (94,896 vs 2,428 stars). odysseus is written in Python under AGPL-3.0; magentic is written in Python under MIT. odysseus has attracted 2% as many forks as stars, magentic 5%. odysseus was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

odysseus ★ 95K magentic ★ 2.4K category AI & Machine Learning

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Side by side

odysseus magentic
GitHub stars ★ 95K ★ 2.4K
License AGPL-3.0 MIT
Written in Python Python
Last push 2026-11-02 2026-10-31
Forks ⑂ 1.8K ⑂ 133
Self-hosting Yes Yes
Data ownership Your server Your server

pick odysseus if

  • You weight community size — 95K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full odysseus profile →

pick magentic if

  • You want the magentic feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and magentic fits your workflow better

full magentic profile →

About odysseus

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 dev is the default branch and gets the newest changes first. Use main if you want the more curated branch. Open 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…

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About magentic

magentic Seamlessly integrate Large Language Models into Python code. Use the @prompt and @chatprompt decorators to create functions that return structured output from an LLM. Combine LLM queries and tool use with traditional Python code to build complex agentic systems. Features [Structured Outputs] using pydantic models and built in python types. [Streaming] of structured outputs and function calls, to use them while being generated. [LLM Assisted Retries] to improve LLM adherence to complex output schemas. [Observability] using OpenTelemetry, with native [Pydantic Logfire integration]. [Type Annotations] to…

read the full magentic overview →

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Frequently asked questions

Is odysseus or magentic more popular?

odysseus has 94,896 GitHub stars and magentic has 2,428. odysseus has the larger community by that measure.

Are odysseus and magentic free?

Both are open source. odysseus is licensed under AGPL-3.0 and magentic under MIT. Neither carries a licence fee.

What is the difference between odysseus and magentic?

odysseus is written in Python and magentic in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, odysseus or magentic?

Choose odysseus if you want the larger community (94,896 stars) or its AGPL-3.0 licence terms. Choose magentic if its feature set, stack or MIT licence fits better. Both are self-hostable.