MetaBrain vs TensorSharp

metaBrain is open-source local document memory for AI tools, coding agents, and humans, with searchable notes, metadata, tags, links, version history, and an optional...

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

About MetaBrain

metaBrain is open-source local document memory for AI tools, coding agents, and humans, with searchable notes, metadata, tags, links, version history, and an optional local daemon. Give every agent one durable, searchable place for notes, source snippets, task context, metadata, tags, links, and version history. The quickest path is the `mb` CLI: initialize a local store, write a note, search it, and keep moving. The optional server is there later when several tools need concurrent access.

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.