RiskKernel, kill vs TensorSharp

RiskKernel is an open-source, self-hosted reliability runtime for AI agents: deterministic cost, loop, and time budgets with a kill switch, crash-resumable runs, and...

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

About RiskKernel, kill

RiskKernel is an open-source, self-hosted reliability runtime for AI agents: deterministic cost, loop, and time budgets with a kill switch, crash-resumable runs, and human-approval gates. Your keys, your infra, no telemetry. Point it at the agents you already run with one environment variable. So the same failures keep shipping to production, and they cost real money the moment an agent runs unattended. Nothing stops a run at a dollar, loop, or time limit. A process dies hours in, and the restart pays for all the work again.

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.