Open vs TensorSharp

Open-source RAG security toolkit with prompt injection detection, PII protection, secrets scanning, and retrieval integrity checks.

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code.

About Open

Open-source RAG security toolkit with prompt injection detection, PII protection, secrets scanning, and retrieval integrity checks. AetherGuard AI is a unified zero-trust infrastructure for generative AI deployments, combining semantic security inspection, AI threat intelligence, cryptographic accountability, and hardware-rooted trusted execution into a single AI-native defense pipeline. Retrieval-Augmented Generation (RAG) has quickly become the standard architecture for enterprise AI applications. Much less attention is given to a fundamental question:. Traditional RAG pipelines assume that anything returned from a vector database is safe and trustworthy.

About TensorSharp

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code. TensorSharp Wiki, Local GGUF inference and agentic work for .NET Skip to content. Everything runs on your own hardware : your laptop, workstation, or server. Inference and agent work stay local by default, there are no per-token fees, and the same engine powers a quick command-line test, a shared internal chatbot, and a production REST endpoint.