head to head · open source

Ollama vs unbody

Ollama has 181,184 GitHub stars, 17,921 forks, 3,957 open issues and last shipped 2 days ago. unbody has 524 stars, 47 forks, 3 open issues and last shipped 5 months ago. Ollama leads on adoption by 34,477% (181,184 vs 524 stars). Ollama is written in Go under MIT; unbody is written in TypeScript under Apache-2.0. Ollama has attracted 10% as many forks as stars, unbody 9%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.

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

Ollama ★ 181K unbody ★ 524 category AI & Machine Learning

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Side by side

Ollama unbody
GitHub stars ★ 181K ★ 524
License MIT Apache-2.0
Written in Go TypeScript
Last push 2026-09-17 2026-04-14
Forks ⑂ 18K ⑂ 47
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 181K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama profile →

pick unbody if

  • You want the unbody feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and unbody fits your workflow better

full unbody profile →

About Ollama

Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.

read the full Ollama overview →

About unbody

Unbody is an Apache 2.0, TypeScript, modular open source backend for building AI native software that is designed for knowledge rather than static data, and it is aimed at developers and teams that want to self host the ingestion, indexing and retrieval layer behind chat, search and agentic applications.

read the full unbody overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

Related comparisons

openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n 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 Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

Ollama vs llama.cpp Ollama vs vllm Ollama vs GPT4All Ollama vs llama_index Ollama vs LocalAI Ollama vs faiss Ollama vs PageIndex Ollama vs Langfuse Ollama vs cognee Ollama vs taipy Ollama vs dagster Ollama vs zvec

Frequently asked questions

Is Ollama or unbody more popular?

Ollama has 181,184 GitHub stars and unbody has 524. Ollama has the larger community by that measure.

Are Ollama and unbody free?

Both are open source. Ollama is licensed under MIT and unbody under Apache-2.0. Neither carries a licence fee.

What is the difference between Ollama and unbody?

Ollama is written in Go and unbody in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Ollama or unbody?

Choose Ollama if you want the larger community (181,184 stars) or its MIT licence terms. Choose unbody if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.