The Open Anonymity Project – frontier AI models with privacy
The Open Anonymity Project is an open-source initiative that provides access to frontier AI models while prioritizing user privacy through unlinkable inference. It utilizes zero-knowledge protocols and Trusted Execution Environments to ensure that neither the service provider nor the model providers can link queries to user identities. The platform offers advanced features such as confidential query rewriting and user-owned memory to further protect personal data during AI interactions.
- ▪The Open Anonymity Project develops an open-source protocol for unlinkable inference that separates user queries from their identities.
- ▪It collaborates with zkAPI to enable anonymous Ethereum payments for AI inference services.
- ▪The system uses Trusted Execution Environments to allow users to verify that their queries are not logged by the service.
- ▪Features include a query rewriter that hides personally identifiable information and user-owned memory that keeps conversation history on the user's device.
- ▪The project partners with the Refraction Network to provide an in-browser network proxy to protect network-level metadata.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,218 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | The Open Anonymity Project |
| Canonical URL | https://chat.openanonymity.ai/login |
| Publication time | Thu, 01 Oct 2026 19:23:58 +0000 |
| Retrieval time | 2026-10-01T19:42:19.745Z |
| Last seen | 2026-10-01T19:42:19.745Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 74x7grNJ3IYk · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Access frontier AI models with your privacy in mind. Choose an option below to get started. The Open Anonymity Project The Open Anonymity Project develops an open-source protocol for unlinkable inference with AI models.Sign up with a username or Google and secure your account with a passkey. Google sign-in does not give Google access to your chats. Continue with Google OR Username Continue with passkey zkAPI Usage Credits In collaboration with zkAPI is a zero-knowledge protocol for paid APIs, including AI inference.Co-developed by the Ethereum Foundation (post by Davide Crapis and Vitalik Buterin) and The Open Anonymity Project (OA), it provides OA’s privacy guarantees while allowing anonymous Ethereum payments.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The Open Anonymity Project.
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