XiPKI: Compact open source PKI (CA, OCSP responder, certificate protocols ACME, CMP, EST, SCEP), with full support of PQC MLDSA (Dilithium) and MLKEM (Kyber).
-
Updated
Oct 26, 2026 - Java
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.
這是一個用全部都用python寫的repo,有各種加密方式的程式,支援互動式加密,對使用者極度友善,也解決了一般使用者不了解程式但又想用各種加密的問題。
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
Implementation of Post-Quantum Cryptography (PQC) in WireGuard VPN
Clean-room C17 implementation of the Signal protocol (X3DH, Double Ratchet, Sesame, XEdDSA) with library-custodied keys.
Quantum-resistant cryptographic algorithm RND
Post-quantum (PQC) TLS proxy: hybrid ML-KEM key exchange to stop harvest-now-decrypt-later (HNDL).
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.
To associate your repository with the mlkem topic, visit your repo's landing page and select "manage topics."