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Comparison

_done vs TensorSharp

A factual side by side of two tools in Hosting & Devtools. Figures come from each product’s own site.

_done

Listed

Real-world tasks your agent can't do alone - Made by _done Ask.

TensorSharp

Listed

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

_done compared with TensorSharp
 _doneTensorSharp
CategoryHosting & DevtoolsHosting & Devtools
Pricing modelPaidNot disclosed
Starting priceNot disclosedNot disclosed
Free tierNoNo
PlatformsNot disclosedNot disclosed
Techavy scoreNot rated yetNot rated yet

About _done

Real-world tasks your agent can't do alone - Made by _done Ask. Given an internet address (IP) or a network identification number (ASN), this tool returns who operates that piece of the internet: the network number, the owner's name, the country it's registered in, the regional registry that manages it, and the exact address range it belongs to. Useful for checking where traffic is coming from, enriching security alerts, or mapping out internet infrastructure. Checks whether a website's email branding setup is correct so its logo shows up in inboxes.

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.

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