@AYi_AInotes: The MCP protocol is truly set to become the HTTP of the AI era. All local AI tools are converging on MCP, enabling seamless interconnection between future Agents and tools. GBrain, crafted personally by the CEO of YC, has released version v0.31.1 today. This is not a minor patch, but a genuine architectural-level upgrade: a…

The MCP protocol is truly set to become the HTTP of the AI era. All local AI tools are converging on MCP, paving the way for seamless interconnection between future Agents and tools. GBrain, refined personally by the CEO of YC, has released version v0.31.1 today. This is not a minor patch, but a genuine architectural-level upgrade: a home server runs a central brain, with all computers, phones, and AI Agents connecting remotely via the MCP protocol. The experience is identical to running locally, eliminating synchronization issues and memory fragmentation once and for all. The most frustrating bug has finally been thoroughly fixed: previously, the thin client was essentially unfinished. When connected to a remote server, it would secretly initialize an empty PGLite database locally, execute 38 migrations, and then report "no results found." Now, v0.31.1 forces all read and write operations through the remote server. With a knowledge base of 100,000 pages, any search yields precise results. Interestingly, this bug was triggered in production by Garry’s personal Agent, Neuromancer. The changelog explicitly states, "Hermes/Neuromancer hit this in production." An AI agent discovered an infrastructure bug in the production environment, which was then documented in the official update log. This might be the first time in human history this has happened. This is the real game-changer. Previously, when running local AI, each device maintained its own brain. One on the computer, one on the phone, and each Agent had its own. Synchronization was slow and inconsistent, wasting resources and never piecing together a complete version of you. Now, it’s the opposite: one brain supports all devices and all Agents. An old computer or Raspberry Pi at home with a GPU can run a private knowledge base of 100,000 pages. Your Claude Code, OpenClaw, and Neuromancer all connect to the same brain. The papers you read on your computer, the notes you take on your phone, and the research conducted by your Agents are all stored in the same place. All AIs share your complete memory and will no longer ask you, "What were you saying just now?" Garry Tan, as the head of YC, chooses not to invest in large model companies valued at billions, but instead stays up late writing an open-source personal memory tool. The signal could not be clearer: the biggest opportunity in the next wave of AI lies not in cloud-based large models, but locally, on your own computer, in personal intelligent infrastructure that is fully yours, controllable, and permanent. Personal AI is following the exact same path as enterprise software: from standalone versions to client-server architecture. With GBrain taking this step today, personal Jarvis truly transforms from a toy into infrastructure.