Run large language models on your own machine.
Reviewed use-case guide
Best local and private AI tools
Local AI can improve control and offline access, but hardware requirements and setup vary widely. These listings focus on runtimes and products with documented local or privacy-oriented workflows.
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A node-based open-source interface for generative image and media workflows.
- 03
An extensible self-hosted interface for local and hosted language models.
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An open-source desktop and self-hosted workspace for chatting with documents and models.
- 05
An open-source desktop application for running and managing AI models.
- 06
An open-source desktop and developer ecosystem for running local language models.
- 07
A desktop application for discovering and running language models locally.
Does local AI automatically guarantee privacy?
Not always. Review model downloads, telemetry, integrations, update channels, and any optional cloud features before treating a workflow as fully local.