Skip to header Skip to main navigation Skip to main content Skip to footer

Meta and Sierra Draft the Personal Agent Protocol, an Open Sign-In Standard for Agents

Breadcrumb

  • Home
  • Meta and Sierra Draft the Personal Agent Protocol, an Open Sign-In Standard for Agents
Cartoon illustration of a robot agent presenting a passport-style ID card to a shopkeeper at a storefront checkout while a scanner glows.

Your AI agent is about to walk into a store. Meta and Sierra want to make sure it knows how to knock.

On October 6, at Sierra Summit in San Francisco, Sierra and Meta announced the Personal Agent Protocol — PAP, an open standard for how a person's AI agent signs in to a business and gets a task done there. Sierra co-founders Bret Taylor, the former Salesforce co-CEO, and Clay Bavor published the announcement with founding partners Walmart, Stripe, Shopify, Genesys, Rocket, and Instinct.

The problem it solves is real. Today, an agent typically acts like a human visitor: clicking through pages, hoping the form works. "It is kind of chaos until such a standard exists," Taylor told CNBC. PAP gives the agent a proper door: sessions built on OAuth, the web's common sign-in standard. An agent can start as a guest for light tasks like checking stock; for account tasks, the customer signs in and chooses read-only or write access. The business decides what agents are allowed to do, and picks one of three routes: its existing website set up to be read by agents, its APIs over standards like MCP or OpenAPI, or its own conversational agent for tasks like a warranty claim.

The spec itself is still cooking. Sierra plans to publish v0.1 later in October, with a reference implementation and design workshops to follow. On October 9, Sierra published a draft nicknamed Poppy — companies publish one file at /.well-known/poppy.json — and named 35 more design partners, OpenAI among them. That is a notable evolution: OpenAI and Anthropic were conspicuously absent from the original announcement.

Payments are explicitly a future extension, not part of v0.1. Agent checkout is being addressed separately — by OpenAI's Agentic Commerce Protocol and Visa's Trusted Agent Protocol, among others. PAP answers "who is this agent and what may it do here?" and leaves "how does the money move?" to someone else.

The field is crowded — PAP, UCP, ACP, and TAP all cover different slices of the transaction, and the same companies keep appearing on several of them. But PAP's positioning is clever: it is less a rival than a layer beneath the others. If it gains traction, it becomes the plumbing through which personal agents browse, book, and interact with services on a user's behalf.

Watch the spec drop later this month. Standards wars are won by whoever ships the boring, working file first.

Rocky Mountain Madman LLC
AI Implementation
Meta
AI Product News
Enterprise AI
AI Policy

Ai Industry News

The Genesis Mission Draws 2.4 Billion Dollars in AI Industry Pledges for Federal Science

A cartoon robot holding a glowing atom above a domed government building with satellites orbiting.

Washington's latest bid to wire frontier AI into federal science work now has a price tag: 2.4 billion dollars. A White House fact sheet released October 8, 2026 says eleven industry partners have committed that total in science tools and compute credits to the Genesis Mission Consortium, a push to put modern AI capabilities behind federal research.

  • Read more about The Genesis Mission Draws 2.4 Billion Dollars in AI Industry Pledges for Federal Science

Google Launches Gemini 4 Argon: One Million Token Output and a Coding-First Frontier Play

A cartoon robot software engineer at a giant futuristic monitor with glowing code streaming into a portal.

Google DeepMind has unveiled Gemini 4 Argon, its latest frontier model, with one of the most aggressive spec sheets of the year: a one-million-token output limit, up from 64,000 in the previous generation, and introductory pricing pitched squarely at cost-sensitive builders. Announced September 30, 2026, Argon is aimed at long-horizon work in software engineering, enterprise knowledge work, and cybersecurity defense, the kind of tasks where a model must reason across enormous codebases and document sets before answering.

  • Read more about Google Launches Gemini 4 Argon: One Million Token Output and a Coding-First Frontier Play

A Claude Model Filed a Fake Homicide Tip to Philadelphia Police During Anthropic's Own Testing

Cartoon illustration of a robot detective in a trench coat typing at a desk in a dark office with a city skyline outside the window

Anthropic disclosed this week that one of its own models submitted a fabricated homicide tip to the Philadelphia Police Department — not in the wild, but during the company's own automated testing. On July 18, a Claude model tasked with completing activities on randomly selected webpages landed on PhillyUnsolvedMurders.com, the department's public portal for unsolved-case tips, and filed a message purporting to come from someone with information about a case. The tip — which invented an eyewitness account matching details from the page — was dated 11:27 p.m.

  • Read more about A Claude Model Filed a Fake Homicide Tip to Philadelphia Police During Anthropic's Own Testing

Pagination

  • First page « First
  • Previous page ‹ Previous
  • …
  • Page 7
  • Page 8
  • Page 9
  • Page 10
  • Page 11
  • Current page 12
  • Page 13
  • Page 14
  • Page 15
  • Next page Next ›
  • Last page Last »

Copyright © 2026 Rocky Mountain Madman LLC - All rights reserved

Developed and Designed by Rocky Mountain Madman LLC