24 projects
dyber
Dyber SDK: interact with the H-cat photonic quantum computer (simulator now, QPU later)
quantawatch
Python SDK for QuantaWatch — AI agent security gateway
dyberforge
Open H-cat photonic quantum computing simulation SDK (Dyber Forge Workbench)
pqc-rag-signing
PQC-signed RAG pipeline chunks. Sign document chunks with ML-DSA at ingestion, verify at retrieval. Prevents vector database poisoning.
pqc-agent-wallet
Quantum-resistant credential wallet for AI agents. ML-KEM-768 key encapsulation, AES-256-GCM at rest, ML-DSA signed access audit log. LangChain/AutoGen/CrewAI integrations.
pqc-ebpf-attestation
PQC-signed load gate for eBPF programs on AI inference servers. ML-DSA signatures, allow-list policy, audit log for every load attempt.
pqc-bootloader
PQC-native signed-boot framework for AI appliances. ML-DSA-65 firmware signatures, measured-boot PCR chains, update-chain verification, manufacturer key-ring.
pqc-mcp-transport
PQC-secured transport layer for Model Context Protocol (MCP). ML-DSA signed messages and agent identity verification.
pqc-gpu-driver
PQC-hardened framework for encrypted CPU-GPU tensor transfers and driver attestation. ML-KEM-768 channel keys, AES-256-GCM per-transfer, ML-DSA driver attestation. Pluggable CUDA/ROCm backends.
pqc-federated-learning
PQC-secured federated learning aggregation. ML-DSA signed gradient updates, verifiable aggregation proofs. Quantum-safe FL for healthcare, finance, and regulated enterprises.
pqc-enclave-sdk
PQC Secure Enclave SDK for on-device AI. ML-KEM-768 key encapsulation + AES-256-GCM encrypted model weights and credentials, pluggable backends for iOS Secure Enclave, Android StrongBox, Qualcomm QSEE.
pqc-lint
Lint and flag classical (quantum-vulnerable) cryptography in source code. Ships as a GitHub Action and a CLI.
pqc-mbom
PQC-signed AI Model Bill of Materials (MBOM). Cryptographically enumerate every model component (weights, training data, fine-tuning, RLHF, quantization, evals) with quantum-safe ML-DSA signatures.
pqc-kv-cache-encryption
PQC-native per-tenant KV cache encryption for multi-tenant LLM inference. ML-KEM-768 derived session keys, AES-256-GCM per-entry encryption, automatic key rotation, tenant isolation enforcement.
pqc-reasoning-ledger
PQC-signed neurosymbolic reasoning ledger. Sign chain-of-thought steps in real time during AI inference. Produces legally defensible, quantum-safe reasoning trails for regulated industries.
pqc-training-data-transparency
PQC-native Merkle-tree commitments for AI training datasets. Prove what a model was trained on without revealing the data. SHA3-256 tree + ML-DSA signatures.
pqc-hypervisor-attestation
PQC-signed hypervisor memory attestation framework for AI workloads. ML-DSA signed claims about memory region state, pluggable backends for AMD SEV-SNP and Intel TDX.
pqc-ai-governance
PQC Byzantine fault-tolerant consensus for federated AI governance. ML-DSA signed policy proposals, vote tallying with threshold, quantum-safe authorization chains for enterprise AI.
pqc-content-provenance
PQC-native C2PA-compatible content provenance for AI-generated outputs. Sign every LLM/image/audio output with ML-DSA so its origin is verifiable for decades.
pqc-audit-log-fs
Immutable filesystem-level audit log for AI inference events. SHA3-256 Merkle segments, ML-DSA signed headers, cross-segment hash chain, O(log n) inclusion proofs. Built for EU AI Act / legal discovery.
nxpu
NXPU NeuroSymbolic Processing Unit SDK — AI that discovers rules from data, no LLM, no training
pqlite3
Post-Quantum SQLite — Drop-in replacement for Python's sqlite3 with PQC encryption
quantumshield
Post-quantum cryptography toolkit for AI systems.
quantacore-sdk
Python bindings for the QUAC 100 Post-Quantum Cryptographic Accelerator
