# Ollama

> Run open-source LLMs locally with a simple API and no cloud dependency

**Category:** Models  
**Pricing:** free  
**Status:** active  
**Tags:** open-source, self-hostable, local  
**Website:** https://ollama.com  
**Canonical:** https://www.frameworkr.com/tools/ollama

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## What it is

Ollama is a tool for downloading, managing, and serving open-source LLMs (Llama 3, Mistral, Phi-3, Gemma, and others) locally via a simple REST API. It exposes an OpenAI-compatible endpoint, so any framework that supports OpenAI can switch to Ollama with a one-line config change.

## Best for

Development, testing, privacy-sensitive workloads, or air-gapped environments where cloud API calls are impossible or undesirable.

## Who it's for

Developers wanting zero-cost local inference during development, or enterprises with strict data residency requirements. Hardware requirements vary by model size.

## Agent architecture fit

Ollama replaces the cloud model provider in your blueprint with a local endpoint. It sits in the same position as any LLM API but eliminates latency from network round-trips and API cost during development. In production blueprints, Ollama is most commonly used as a self-hosted inference server for teams running on private infrastructure or edge devices.

## Alternatives

- **Anthropic Claude API** — when you need frontier capability and context length that open-source models can't match
- **Groq** — when you want managed open-model inference with cloud reliability and very high throughput


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_Reviewed by Frameworkr — https://www.frameworkr.com/tools/ollama_