head to head · open source

odysseus vs llm-workflow-engine

odysseus has 87,371 GitHub stars, 907 forks, 1,233 open issues and last shipped 2 days ago. llm-workflow-engine has 3,715 stars, 467 forks, 3 open issues and last shipped 14 days ago. odysseus leads on adoption by 2,252% (87,371 vs 3,715 stars). odysseus is written in Python under AGPL-3.0; llm-workflow-engine is written in Python under MIT. odysseus has attracted 1% as many forks as stars, llm-workflow-engine 13%. 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 ★ 87K llm-workflow-engine ★ 3.7K category AI & Machine Learning

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Side by side

odysseus llm-workflow-engine
GitHub stars ★ 87K ★ 3.7K
License AGPL-3.0 MIT
Written in Python Python
Last push 2026-09-17 2026-09-05
Forks ⑂ 907 ⑂ 467
Self-hosting Yes Yes
Data ownership Your server Your server

pick odysseus if

  • You weight community size — 87K 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 llm-workflow-engine if

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

full llm-workflow-engine profile →

About odysseus

Odysseus is a self hosted AI workspace written in Python and released under the AGPL 3.0 or later licence, built for people who want chat, agents, research, documents, email, notes, tasks, and calendar in one deployment on infrastructure they control.

read the full odysseus overview →

About llm-workflow-engine

LLM Workflow Engine (LWE) is an MIT licensed Python CLI and workflow manager that lets developers and operators drive ChatGPT, GPT 4 and other large language models from the terminal, embed those calls in scripts and Ansible Playbook workflows, and extend the whole thing through a plugin architecture.

read the full llm-workflow-engine overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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openclaw vs odysseus openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all ollama vs faiss openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

odysseus vs OpenClaw odysseus vs Hermes Agent odysseus vs Open WebUI odysseus vs ComfyUI odysseus vs LobeChat odysseus vs AnythingLLM odysseus vs Cherry Studio odysseus vs nanobot odysseus vs Jan odysseus vs LibreChat odysseus vs chatbox odysseus vs AstrBot

Frequently asked questions

Is odysseus or llm-workflow-engine more popular?

odysseus has 87,371 GitHub stars and llm-workflow-engine has 3,715. odysseus has the larger community by that measure.

Are odysseus and llm-workflow-engine free?

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

What is the difference between odysseus and llm-workflow-engine?

odysseus is written in Python and llm-workflow-engine 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 llm-workflow-engine?

Choose odysseus if you want the larger community (87,371 stars) or its AGPL-3.0 licence terms. Choose llm-workflow-engine if its feature set, stack or MIT licence fits better. Both are self-hostable.