Run large language models locally on your machine with a simple CLI and API, enabling private and cost-free AI agent development.
Run powerful AI models on your own computer for free — keep your data private and avoid per-use AI costs.
Ollama is an open-source tool that makes it trivially easy to run large language models locally on macOS, Linux, and Windows. It provides a simple command-line interface and REST API that mirrors the OpenAI API format, making it a drop-in replacement for cloud LLM providers when building AI agents. With a single command like 'ollama run llama3', developers can download and run models locally with optimized performance for both CPU and GPU inference.
Ollama supports a vast library of open-source models including Llama 3, Mistral, Gemma, Phi, CodeLlama, DeepSeek, Qwen, and many more. Models are distributed as optimized packages with automatic quantization support (Q4, Q5, Q8) to run on consumer hardware. The platform handles model management, memory allocation, and inference optimization automatically.
For AI agent development, Ollama is invaluable as it provides a free, private, and low-latency LLM backend. Most major agent frameworks — including LangChain, CrewAI, Strands, LlamaIndex, and Google ADK — support Ollama as a model provider. The OpenAI-compatible API means any tool built for the OpenAI API can point at Ollama with a simple base URL change.
Ollama also supports tool calling and function calling with compatible models, enabling proper agent tool use patterns. Custom model creation via Modelfiles allows fine-tuned system prompts and parameter tuning. The project has a thriving open-source community and has become the de facto standard for local LLM development.
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Download and run any supported model with a single command. No configuration files, no API keys, no cloud accounts needed.
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REST API that mirrors OpenAI's format, making Ollama a drop-in replacement for cloud LLMs in any agent framework or application.
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Supports Llama 3, Mistral, Gemma, Phi, CodeLlama, DeepSeek, Qwen, and dozens more with automatic quantization for consumer hardware.
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Compatible models support structured tool calling, enabling proper AI agent patterns with local models — no cloud required.
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Create custom model configurations with tuned system prompts, temperature, context windows, and parameter overrides via simple Modelfile syntax.
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Native support for macOS (Apple Silicon optimized), Linux (NVIDIA/AMD GPU), and Windows with automatic hardware detection and optimization.
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Free
$20/month
$100/month
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View Pricing Options →Privacy-sensitive AI agent deployments requiring on-premise data processing
High-volume AI agent workloads where per-token costs make cloud APIs prohibitive
Development and testing environments for AI agents with complete control over model behavior
We believe in transparent reviews. Here's what Ollama doesn't handle well:
For small models (7B), 8GB RAM is sufficient. For 13B models, 16GB is recommended. For 70B models, you'll need 64GB+ RAM or a GPU with 48GB+ VRAM. Apple Silicon Macs work exceptionally well.
Yes. Most major agent frameworks support Ollama as a model provider. Just point the framework's LLM configuration to Ollama's local API endpoint.
Yes. Models like Llama 3.1+, Mistral, and Qwen support structured tool/function calling through Ollama's API, enabling proper agent tool use patterns.
Ollama is CLI/API-focused and optimized for developer workflows and agent integration. LM Studio provides a GUI for model management. Many developers use both.
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