How teams put GPU Brain to work — durable recall, MCP and CLI patterns, and the read–write loop that keeps agents on track.
The product pitch is simple: your agent should remember useful work immediately and retrieve it before the next answer.
Static embedding models make always-on memory practical because retrieval can be fast, local, and cheap enough to run constantly.
Gobed brings static embedding search to Go, which lets GPU Brain keep retrieval close to the web server, CLI, and MCP tools.
The CLI and MCP server make the same memory available to terminal scripts, local agents, and hosted clients.