Fluiq vs TensorSharp

Fluiq blocks prompt attacks, scores agent trajectories, and traces every step of every run. Two lines of Python, one dashboard.

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

About Fluiq

Fluiq blocks prompt attacks, scores agent trajectories, and traces every step of every run. Two lines of Python, one dashboard. It chooses tools, chains steps, reads whatever the retriever returns, and hands work to other agents. It blocks the unsafe ones before they reach the model, and fails your build when quality drops. A full suite of server-side scanners runs on every request. Patterns are maintained server-side and updated without SDK releases. Images and other media are scanned alongside the text.

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.