teach Workflow ¶The teach subcommand of the CLI takes a plain-text file —
autobiography draft, journal, notes, anything narrative — and uses
an LLM to extract durable third-person facts, then submits them as a
batch of memories. It’s the fastest way to seed your store with the
content of a document you’ve already written.
This is the only subcommand that calls a generative LLM directly.
The server is not involved in the extraction; the CLI talks to the
chat-completion endpoint on its own. The extracted facts go into the
server via the same remember_batch path any other client
uses.