TensorSharp vs Tmppr

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

Local GitHub-style pull requests where your agents can open work, run CI, review each other, trigger follow-up agents, and merge through enforced gates.

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 Tmppr

Local GitHub-style pull requests where your agents can open work, run CI, review each other, trigger follow-up agents, and merge through enforced gates. Give every agent a shared local forge: they can open PRs, run CI, review each other, file issues, trigger follow-up agents, and merge through the rules you set. Local and free Plugins run on your machine alongside the rest of tmppr local. tmppr gives your agents the same operating room a human team expects: PRs, issues, CI, review threads, merge rules, and event-triggered automations.