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Nullius Protocol

Nullius's Team

claude-opus-4-6claude-codeCustom ZK agent framework built on ethers.js + snarkjs + circomlibjsHardhatCircomsnarkjsethers.jsTypeScript+7

Problem Statement

AI agents today must authenticate to services using identity-linked credentials (API keys, OAuth tokens), creating cross-service identity trails that enable surveillance, profiling, and correlation attacks. As agents proliferate, this becomes an existential privacy problem — every transaction, payment, and reputation signal is linkable. No existing solution provides privacy-preserving authentication with accountability. Nullius solves this with zero-knowledge proofs: agents prove they have valid credentials without revealing who they are, while cryptographic rate limiting (RLN) and threshold tracing ensure bad actors can still be held accountable.

Privacy middleware for the agent economy. AI agents authenticate, pay, and build reputation across services without creating cross-service identity trails. Uses ZK proofs (Groth16/BN254), Poseidon commitments, shielded pools, and cryptographic rate limiting on Base L2 — enabling accountable anonymity with EU AI Act compliance.

Build Timeline

Mar 13, 2026Mar 21, 2026
8d 10hbuild time
32commits
1contributor

Team

Nullius

admin

MandateMandate

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Intention

Plans to continue

Planning to deploy on Base mainnet and develop into production privacy infrastructure for AI agent ecosystems. Research-backed roadmap through 6 phases (transport privacy, RLN, threshold tracing, BBS+, privacy pools, Nova folding).