Agentmetry vs TensorSharp

Local-first sensor for AI coding agents. Records which agent did what, attests hook coverage, and forwards canonical events to Splunk, Elastic or Google SecOps....

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

About Agentmetry

Local-first sensor for AI coding agents. Records which agent did what, attests hook coverage, and forwards canonical events to Splunk, Elastic or Google SecOps. Apache-2.0. Not a console and not a sandbox. It does not see which coding agent, which developer, or which MCP schema. Agentmetry records that on the laptop, with a hash chain a third party can verify, and forwards it into Splunk, Elastic, or Google SecOps. It is not a console, not a vendor cloud, and not a replacement for EDR or CNAPP.

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.