Ollama

Health v2 · maintenance only

Adoption not part of the score

179521 stars · 17575 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Ollama is an open-source tool for downloading, running, and managing large language models locally on macOS, Windows, and Linux, with a simple CLI and a REST API. It ships official client libraries for Python and JavaScript and integrates with coding agents and chat applications.

Use cases

• run large language models locally on my machine
• self-host an OpenAI-style LLM API server
• serve open models like Llama, Qwen, Gemma, or DeepSeek behind a REST API
• use local models with coding agents like Claude Code or Copilot
• chat with open-source models from the terminal
• build apps that call a local LLM via Python or JavaScript

When to choose

• you want to run open models locally without cloud dependencies
• you need a simple local inference server with a REST API
• you want one-command model downloads and management
• you prefer privacy and offline LLM usage

When to avoid

• you need high-throughput, multi-GPU production inference at scale
• you require fine-grained serving features like continuous batching or tensor parallelism
• you only want a hosted cloud LLM API

Facets

application · maturity active

llm-inference http-server cli chatbot rag large-language-models artificial-intelligence developer-tools self-hosted windows cli python self-hosted local-llm model-runner open-models rest-api gguf inference-server macos linux docker nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ollama/ollama")