Ollama
Run open-source LLMs locally with a simple API and no cloud dependency
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.
Development, testing, privacy-sensitive workloads, or air-gapped environments where cloud API calls are impossible or undesirable.
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.
when you need frontier capability and context length that open-source models can't match
when you want managed open-model inference with cloud reliability and very high throughput
Next step
Your agent starts with a blueprint.
A blueprint tells you which tools to use, where they fit, and how they connect — before you write a line of code.
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