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@Graphene-Lab

Graphene-Lab

Graphene‑Lab

Graphene‑Lab is an open‑source research environment dedicated to developing secure, privacy‑focused digital technologies. Its work centers on encrypted cloud infrastructures, trustless communication systems, and advanced tooling for secure data handling. The organization maintains a complete ecosystem of components that span personal cloud servers, cross‑platform cloud clients, encrypted storage libraries, trustless proxy systems, and secure routing technologies designed to operate without static network assumptions.

The repositories include implementations of encrypted messaging frameworks, privacy‑oriented mobile applications, and trustless synchronization tools that allow users to communicate and store data without exposing sensitive information. Alongside these security‑driven systems, Graphene‑Lab also develops sophisticated automatic GUI generation frameworks for Blazor and Razor, enabling rapid creation of user interfaces through structural analysis rather than manual design.

This combination of applied cryptography, secure communication engineering, and automated software tooling reflects a broader mission: to create resilient, privacy‑preserving infrastructures that empower individuals to retain control over their data. Graphene‑Lab’s work aims to advance open‑source cybersecurity by providing practical, trustworthy technologies capable of functioning securely even in adversarial or constrained environments.

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  1. AgentBridge AgentBridge Public

    Autonomous Personal AI Assistant for office work, exposed as a Model Context Protocol (MCP) server and listed on the Official MCP Registry as io.github.Graphene-Lab/agentbridge. Local-first: drives…

    C# 20 1

  2. CloudClient CloudClient Public

    Cross-platform desktop cloud client, for compatible clouds (works in conjunction with cloud server to sync files)

    C# 5 1

  3. UISupportBlazor UISupportBlazor Public

    Automatic GUI (front-end) generator for blazor. A powerful analyzer automatically creates the front-end with all panels and user interaction fields, analyzes the code in the back-end and automates …

    C# 34 4

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