head to head · open source

Ollama vs SeaGOAT

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. SeaGOAT has 1,316 stars, 95 forks, 44 open issues and last shipped yesterday. Ollama leads on adoption by 14,011% (185,702 vs 1,316 stars). Ollama is written in Go under MIT; SeaGOAT is written in Python under MIT. Ollama has attracted 10% as many forks as stars, SeaGOAT 7%. SeaGOAT 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 ★ 186K SeaGOAT ★ 1.3K category AI & Machine Learning

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Side by side

Ollama SeaGOAT
GitHub stars ★ 186K ★ 1.3K
License MIT MIT
Written in Go Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 19K ⑂ 95
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 186K 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 SeaGOAT if

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

full SeaGOAT profile →

About Ollama

Ollama Start building with open models. Download macOS or download manually Windows or download manually Linux Manual install instructions Docker The official Ollama Docker image ollama/ollama is available on Docker Hub. Libraries ollama python ollama js Community Discord 𝕏 (Twitter) Reddit Get started You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code , OpenClaw , OpenCode , Codex , Copilot , and more. Coding To launch a specific integration: Supported integrations include Claude Code, Codex, Copilot CLI, DeepSeek Harness, Droid, and OpenCode. AI…

read the full Ollama overview →

About SeaGOAT

[!TIP] Check out zeitgrep, another search tool I am working on! SeaGOAT A code search engine for the AI age. SeaGOAT is a local search tool that leverages vector embeddings to enable you to search your codebase semantically. Getting started Install SeaGOAT In order to install SeaGOAT, you need to have the following dependencies already installed on your computer: Python 3.11 or newer ripgrep bat ( optional , highly recommended) When bat is installed, it is used to display results as long as color is enabled. When SeaGOAT is used as part of a pipeline, a grep line output format is used. When color is enabled, but…

read the full SeaGOAT overview →

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Frequently asked questions

Is Ollama or SeaGOAT more popular?

Ollama has 185,702 GitHub stars and SeaGOAT has 1,316. Ollama has the larger community by that measure.

Are Ollama and SeaGOAT free?

Both are open source. Ollama is licensed under MIT and SeaGOAT under MIT. Neither carries a licence fee.

What is the difference between Ollama and SeaGOAT?

Ollama is written in Go and SeaGOAT 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, Ollama or SeaGOAT?

Choose Ollama if you want the larger community (185,702 stars) or its MIT licence terms. Choose SeaGOAT if its feature set, stack or MIT licence fits better. Both are self-hostable.