The Open Anonymity Project – frontier AI models with privacy

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The Open Anonymity Project #

zkAPI Usage Credits #

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Capabilities and privacy features #

• Unlinkable inferenceUnlinkable inference separates your queries from each other and from your identity. The Open Anonymity Project (OA) does not know which queries you send, and model providers receive them without knowing your identity.

• Verifiable privacyUsing OA’s public verification code , which runs in a Trusted Execution Environment (TEE), you can confirm that OA does not log your queries.

• Full-featured AI assistantOA provides access to open and closed AI models as well as unique features such as Parallel and Council modes , prompt scrubbing, and personal memory agents.

• Confidential query rewritingPrompts can reveal personally identifiable information or a distinctive writing style. To hide these details, OA comes with a query rewriter (try tab-tab on your input) implemented with a small LM running in aGPU enclave .

• User-owned memoryWith OA, your conversation history remains on your device. Memory agents running insecure GPU enclaves manage your memory and select relevant context to include in each prompt, without sharing your complete history.

• In-browser network proxyNetwork-level metadata may also be revealing; for this reason, OA has partnered with the Refraction Network to provide an in-browser network proxy.