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Comparison

Sleuth Io vs TensorSharp

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

Sleuth Io

Listed

sx 2.0 is out: a native app for Mac, Windows, and Linux that lets anyone share AI skills with their team, no git and no terminal required.

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.

Sleuth Io compared with TensorSharp
 Sleuth IoTensorSharp
CategoryHosting & DevtoolsHosting & Devtools
Pricing modelOpen SourceNot disclosed
Starting priceNot disclosedNot disclosed
Free tierNoNo
PlatformsNot disclosedNot disclosed
Techavy scoreNot rated yetNot rated yet

About Sleuth Io

sx 2.0 is out: a native app for Mac, Windows, and Linux that lets anyone share AI skills with their team, no git and no terminal required. Developers use it to version skills in git vaults and install them across Claude Code, Cursor, Copilot, Codex, Gemini, Cline, and Kiro with a lock file and deterministic installs. I built the sharing layer for developers and assumed everyone else would eventually meet us at the command line.

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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