mlkem

XiPKI: Compact open source PKI (CA, OCSP responder, certificate protocols ACME, CMP, EST, SCEP), with full support of PQC MLDSA (Dilithium) and MLKEM (Kyber).

A Messaging Layer Security (RFC 9420, MLS) implementation in TypeScript

The fastest pure TypeScript ML-KEM (NIST FIPS 203) implementation

ML-KEM in WebAssembly

Yocto layer dedicated to Post-Quantum Cryptography demos

Post-quantum command-line encryption tool with recipient anonymity and zero-seek streaming.

Fast, Portable, and Lightweight SPDM 1.2+ requester implementation with no dynamic memory allocations and PQC crypto ML-DSA and ML-KEM using wolfSSL/wolfCrypt

This repository contains the code and data associated with our paper "Tailorable codes for lattice-based KEMs with applications to compact ML-KEM instantiations", to appear in IACR TCHES 2025.

This is a clean room implementation of Module-Lattice-Based Key-Encapsulation Mechanism described in ML-KEM paper.

Pure Swift ML-KEM-768 (FIPS 203) for SwiftPM, iOS, and macOS, with incremental ML-KEM Braid APIs and no C FFI.

Post-Quantum Cryptography (PQC) TLS 1.3 examples with Apache Camel using X25519MLKEM768 hybrid key exchange on JDK 21 (BouncyCastle) and JDK 27 (native)

Post-quantum secure gRPC library with ML-KEM and Diffie-Hellman

Clean-room C17 implementation of the Signal protocol (X3DH, Double Ratchet, Sesame, XEdDSA) with library-custodied keys.

Production-grade post-quantum cryptography for Python. Hybrid KEM, hybrid signatures, migration tooling, protocol helpers, and a CI-ready audit scanner — all in one library.

Privacy-preserving API

Implementation of Post-Quantum Cryptography (PQC) in WireGuard VPN

Quantum-resistant cryptographic algorithm RND

PulseHome — a production-ready smart home telemetry analysis platform built on an event-driven architecture (Kafka, gRPC, PostgreSQL). Microservices: Collector, Aggregator, Analyzer. Processes sensor data, aggregates the home state, and triggers automation scenarios.

Post-quantum AIR chiplets for the Hekate ZK proving system. Implements ML-KEM (Kyber) decapsulation and ML-DSA (Dilithium) signature verification natively in binary fields.