Key insights
- Ollama: A tool that runs open-source AI models on your own computer so no account or cloud service is needed.
It offers a desktop chat app, drag‑and‑drop file support, image reading, and an agent mode that can act on your files.
- Local AI: Keeps data on‑device for better privacy and works offline, useful for sensitive or regulated environments.
This also lets teams develop and test models without sending data to external servers.
- Microsoft integration: Microsoft documents show Ollama as a local model provider for the Agent Framework and as a target for .NET apps.
Microsoft highlights compatibility with OpenAI‑style workflows to lower switching costs for developers.
- Key workflow: Install Ollama, download a model with ollama pull, then run sessions with ollama run and call the local API from apps.
Developers can use framework hooks like Microsoft.Extensions.AI and OllamaSharp to connect .NET code to local models.
- Agent mode and tools: Agents can use tool tags such as vision and thinking, perform web search with an offline toggle, and create files or take actions on your machine.
Use agent mode for workflows that require multi‑step automation or file handling.
- Practical uses and limits: Use Ollama for tasks like writing product descriptions, analyzing spreadsheets and images, and local testing; switch to cloud models only for jobs too large for your hardware.
On Windows you can change model storage with the OLLAMA_MODELS environment variable to manage space and performance.
Keywords
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