Ollama

Health v2 · maintenance only

Adoption not part of the score

183649 stars · 18364 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Ollama is a local server and CLI tool for running and managing open large language models. It provides a REST API, integrations with coding agents, and optional cloud-hosted models.

Use cases

• run open-source LLMs locally for private chat and coding assistance
• integrate LLMs into custom applications via the Ollama REST API
• launch AI coding agents like Claude Code or OpenClaw from the command line
• serve multiple models concurrently for development or testing environments
• use Ollama as a backend for IDE extensions and messaging bots

When to choose

• you need a self‑hosted LLM solution with a simple CLI and API
• privacy is a priority and you don't want prompts sent to external services
• you want to switch between many open models without changing your workflow
• you require a lightweight Docker image for containerized deployments

When to avoid

• you need enterprise‑grade scaling, multi‑node orchestration, or built‑in model training
• your workload depends on closed‑source proprietary models only available via other providers
• you require deep integration with cloud‑native services beyond the provided API

Facets

application · maturity active

llm-inference api-framework cli http-server large-language-models windows cli open-models local-llm model-management self-hosted cloud-integration ai-agents retrieval-augmented-generation linux macos docker

Member repositories

For agents

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