Ollama
Run LLMs locally via simple CLI/API
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
LLM providers and inference servers — where the actual model computation happens
Other tools in this slot:
Stack Genome Detection
AIchitect's Genome scanner detects Ollama in your project via these signals:
ollamaollamaModelfileIntegrates with (5)
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.
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.
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.
Often paired with (1)
Alternatives to consider (1)
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