Ollama with Coding Agents

Why Local Coding

Coding agents and editors normally call hosted models. Pointing them at Ollama keeps your code and prompts in-house, removes token costs, and works fully offline.

The OpenAI-Compatible Trick

Most modern coding agents accept an OpenAI-compatible base URL. Set it to Ollama's local server and choose a model tag.

# example agent/editor setting
base_url: http://localhost:11434/v1
model:    qwen2.5:7b

OpenCode, editors and CLI agents that allow custom providers can target this endpoint directly, like the local-model chapter in this tutorial series.

What to Expect

• Faster feedback - No network round trips.
• Weaker reasoning - Small local models trail big cloud ones.
• Longer runs - Use a stronger tag for planning tasks.

Keep a Cloud Fallback

Use a local model for simple edits and reviews, and switch to a hosted flagship only for the hardest reasoning tasks.

Key Points

• Agents point at Ollama via the OpenAI-compatible URL.
• Local models are private, free and offline.
• Expect tradeoffs in reasoning depth.
• Blend local and cloud models per task.