head to head · open source

Ollama vs Olares

Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. Olares has 5,276 stars, 327 forks, 155 open issues and last shipped yesterday. Ollama leads on adoption by 3,334% (181,161 vs 5,276 stars). Ollama is written in Go under MIT; Olares is written in Go under AGPL-3.0. Ollama has attracted 10% as many forks as stars, Olares 6%. Ollama 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.

Ollama ★ 181K Olares ★ 5.3K category AI & Machine Learning

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Side by side

Ollama Olares
GitHub stars ★ 181K ★ 5.3K
License MIT AGPL-3.0
Written in Go Go
Last push 2026-09-17 2026-09-17
Forks ⑂ 18K ⑂ 327
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 Olares if

  • You want the Olares feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Go
  • You evaluated both and Olares fits your workflow better

full Olares 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 Olares

Olares is an open source personal cloud operating system built to run AI agents and large language models on hardware you own. It is written in Go and released under the AGPL 3.0 license, and it sits in the cloud native and self hosted corner of the machine learning infrastructure ecosystem. The project describes itself as an operating system you operate in plain language, powered by Kubernetes, turning a machine or a set of machines into a self hosted AI platform reachable from any browser.

read the full Olares overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

Related comparisons

ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai ollama vs pageindex ollama vs langfuse llama-cpp vs vllm openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow

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 PageIndex Ollama vs Langfuse Ollama vs cognee Ollama vs taipy Ollama vs dagster Ollama vs zvec Ollama vs langchain4j

Frequently asked questions

Is Ollama or Olares more popular?

Ollama has 181,161 GitHub stars and Olares has 5,276. Ollama has the larger community by that measure.

Are Ollama and Olares free?

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

What is the difference between Ollama and Olares?

Ollama is written in Go and Olares in Go. 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 Olares?

Choose Ollama if you want the larger community (181,161 stars) or its MIT licence terms. Choose Olares if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.