TensorSharp vs Tenure

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

Asking models to follow fragile system prompts is a losing battle.

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.

About Tenure

Asking models to follow fragile system prompts is a losing battle. Tenure gives every chat client, IDE, and agent access to institutional knowledge, turns observed agent behavior into policy, enforcing not just what's allowed, but what must be true before it happens. They are blind to whether the agent's actual intent is safe, authorized, or completely rogue. It does not stop a customer-support bot from calling an internal deletion API. An agent may have CRM access without being allowed to update every customer in every situation.