AI assistants
llama.cpp privacy rating
Open-source C/C++ library and command-line tools for running large language model inference locally on CPUs and GPUs, including a built-in web server and chat interface.
Summary
llama.cpp scores 89 out of 100 (grade B) on the AI assistants criteria. It meets 7 of 8 criteria: open source, no trackers or telemetry, no ads or data sales, no training on your data, runs locally, limited chat retention and no account needed. It does not meet independent audit.
Score 89 out of 100. How scoring works
Criteria
- Yes
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Yes
No trackers or telemetry Weight 3 of 3
Are the website and apps free of third-party trackers, with any analytics anonymous and any telemetry off by default?
No telemetry or analytics in the source code.
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Yes
No ads or data sales Weight 2 of 3
Is the product funded without advertising, ad targeting or selling user data?
Free and open source, with no ads.
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No
Independent audit Weight 2 of 3
Has an independent security or privacy audit been published within the last three years?
No independent audit is published.
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Yes
No training on your data Weight 3 of 3
Are prompts, chats and files kept out of model training by default?
Runs entirely on the user's hardware, so prompts are never sent anywhere.
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Yes
Runs locally Weight 2 of 3
Can the assistant run on your own device or server, so prompts never leave it?
Runs models locally on the user's own hardware.
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Yes
Limited chat retention Weight 2 of 3
Are chats deleted by default or on request, with no long-term server copy?
No server copy exists; everything stays on the user's machine.
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Yes
No account needed Weight 1 of 3
Can it be used without an account or personal details?
No account is needed.