#44th of 20 in Model serving
Ollama
Runs open-weight models locally behind a CLI and REST API
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- Stars
- 182.7k
- License
- MIT
- Last commit
- Oct 2026
- Last release
- Oct 2026
Overview
Ollama runs open-weight models locally with a CLI and a REST API on port 11434, pulling models from its own library (for example gemma4) and using llama.cpp as the inference backend. Install scripts cover macOS, Windows and Linux, and an official Docker image exists. The ollama launch command wires it into coding agents such as Claude Code, Codex, Copilot CLI and OpenCode, or into OpenClaw as a chat assistant.
Who it is for: anyone wanting local models behind a simple API
Strengths
- One command pulls and runs a model; REST API on 11434
- Official Docker image plus Python and JavaScript libraries
- ollama launch integrates with Claude Code, Codex, Copilot CLI, OpenCode
- Broad ecosystem: dozens of web, desktop and IDE clients listed
Weaknesses
- Single inference backend: llama.cpp
- Install is a curl piped to sh script
- README gives no RAM or VRAM guidance per model size
- Models come from Ollama's own registry; others need import steps
What it needs
- GPU optional
- Docker
- Models: Ollama library models (e.g. gemma4), GGUF via llama.cpp
- port 11434
Also in Model serving
See all 20| Rank | Project | Score |
|---|---|---|
| 1 | LocalAIOne OpenAI-compatible server for text, speech, image and video models | 82 out of 100 |
| 2 | llama.cppC/C++ inference engine serving GGUF models over an OpenAI-compatible API | 79 out of 100 |
| 3 | vLLMHigh-throughput LLM serving engine with OpenAI and Anthropic APIs | 75 out of 100 |
| #5 | colibriC inference engine that runs huge MoE models by streaming experts from disk | 70 out of 100 |
| #6 | SGLangInference server for LLM, vision-language and diffusion models | 68 out of 100 |