TensorSharp vs Voice API

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

Self hostable voice AI API for building production voice agents with a typed REST API, webhooks, and a developer dashboard.

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 Voice API

Self hostable voice AI API for building production voice agents with a typed REST API, webhooks, and a developer dashboard. Voice API gives you a typed product surface for agents, calls, and phone numbers so you can ship without rebuilding telephony plumbing. Clone the repo, install dependencies, and run the app locally. Create an outbound call with POST /api/v1/calls, then open transcripts, summaries, and outcomes when it finishes. Connect Twilio with your own keys, choose models on the platform, and hook finished calls into n8n or your own webhooks.