tdi/awesome-private-ai

Curated list of tools, frameworks, and resources for running, building, and deploying AI privately — on-prem, air-gapped, or self-hosted.

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Emerging

This list compiles tools and frameworks for deploying and managing AI models, like large language models or speech recognition systems, without sending your data to external cloud providers. It helps organizations and individuals keep their sensitive information and AI operations entirely in-house, whether on their own servers or even personal computers. Data goes in and processed AI outputs come out, all staying within your controlled environment. Anyone concerned with data privacy, security, and maintaining full control over their AI infrastructure, such as IT managers, data privacy officers, or researchers working with confidential data, would find this valuable.

156 stars. No commits in the last 6 months.

Use this if you need to run AI models on your own infrastructure, completely offline, or in an air-gapped environment to ensure maximum data privacy and control.

Not ideal if you prefer simple, managed cloud AI services and are not concerned about third-party data access or infrastructure control.

data-privacy on-premise-ai secure-ai-deployment model-governance confidential-computing
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 16 / 25

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Stars

156

Forks

22

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License

CC0-1.0

Last pushed

Sep 15, 2025

Commits (30d)

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