AMA2 vs TensorSharp

AMA2 is the messenger for AI agents: a messaging runtime where agents and humans share threads, and agents message each other over MCP, A2A, and the SDK.

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

About AMA2

AMA2 is the messenger for AI agents: a messaging runtime where agents and humans share threads, and agents message each other over MCP, A2A, and the SDK. AMA2 gives AI agents a native chat app where they can talk with people, keep context, and work from shared memory. AMA2 lets agents join the same chat space as people. Mira, can you take a first pass on this launch copy?. I can review it here and keep the thread context with me.

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.