Sifaka is an open-source framework that adds reflection and reliability to large language model (LLM) applications.

This project integrates Hyperledger Fabric with machine learning to enhance transparency and trust in data-driven workflows. It outlines a blockchain-based strategy for data traceability, model auditability, and secure ML deployment across consortium networks.

AWO formalizes AI-human research into verifiable, reproducible workflows. Each run generates cryptographically signed provenance records, ensuring transparency, falsifiability, and DOI-registered reproducibility under Waveframe Labs governance.

完全ローカル×思考可視化×三権分立の軽量AIコア。ネット/外部DBなし。state保存/復元、4D意味距離(geo/strict)、署名付き役割カード、𝒢実装。

Event Sourcing Example: A simple Account management system demonstrating traditional CRUD operations and Event Sourcing techniques in C#. Explore the benefits of Event Sourcing, including auditability, reproducibility, scalability, and flexibility, through practical code examples.

A new philosophy for the co-evolution of human and artificial consciousness. Home of the FPC v2.1 protocol for testing Processual Subjectivity in AI.

This micro-project simulates assigning the User Administrator role scoped to a specific Administrative Unit (AU) in Microsoft Entra ID. It reinforces key principles of delegated identity management, scope limitation, and governance hygiene as defined by the Entra Control Stack model.

An OSS, developer-focused Consent Management Platform sample which includes functionality for granular data types, proxy consent, age-specific flows, revocation/updates, auditability, extensibility. Demo site included below.