LLM InfrastructureOpen Source✦ Free Tier

Ollama

Run LLMs locally via simple CLI/API

90,000 stars● Health 80ActiveDev Productivity & App Infrastructure

About

Dead-simple local LLM serving. Pull and run models like Docker images. Compatible with the OpenAI API format.

Choose Ollama when…

  • You want to run LLMs locally on your machine
  • Privacy or offline use cases require local models
  • You're testing open-source models without API costs

Builder Slot

Where do your models actually run?Required for most stacks

LLM providers and inference servers — where the actual model computation happens

Dev Tools
Not applicable
App Infra
Required
Hybrid
Required

Other tools in this slot:

Stack Genome Detection

AIchitect's Genome scanner detects Ollama in your project via these signals:

npm packages
ollama
pip packages
ollama
config files
Modelfile

Integrates with (5)

ContinueCoding Assistants

Continue's config accepts Ollama's local API as a model provider — any model running in Ollama appears as a completion and chat option in Continue.

Full AI pair programming with zero API costs or data egress — local models power the editor experience.

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LlamaIndexPipelines & RAG

LlamaIndex connects to Ollama's local API for both completions and embeddings — the same pipeline works fully offline.

Fully local RAG: documents indexed and retrieved locally, generation running on local models via Ollama with no API costs.

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LiteLLMLLM Infrastructure

LiteLLM recognises Ollama's local API and includes its models in the unified provider list alongside cloud providers.

Local Ollama models treated identically to cloud providers — route between local and cloud by changing one parameter.

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Often paired with (1)

Alternatives to consider (1)

Pricing

✦ Free tier available

In 4 stacks

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