What Is the Personal Agent Protocol (PAP)? A Plain Explanation of Sierra and Meta's Standard for AI Agents and Businesses Sierra announced the Personal Agent Protocol (PAP) on October 6, 2026, an open standard defining how a person's AI agent connects to a business, with Meta co-developing and Genesys, Instinct, Rocket, Shopify, Stripe and Walmart named as partners. The v0.1 specification is due later in October 2026 and had not been published at the time of writing; PAP sessions start as guest access, move to OAuth-based sign-in with read-only or write permissions, and carry across channels, while businesses connect via their existing website, an API described with MCP or OpenAPI, or their own agent. PAP does not handle payments in its first version, with payments listed as a future extension alongside push notifications and more detailed permissions, and no license, governing body, user-proving mechanism or production deployments have been reported. What Is the Personal Agent Protocol PAP ? A Plain Explanation of Sierra and Meta's Standard for AI Agents and Businesses Personal Agent Protocol explained simply: what PAP is, how guest and signed-in agent sessions work with OAuth, and who backs it: Sierra, Meta, Shopify, Stripe, Walmart. The Personal Agent Protocol PAP is an open standard, announced by Sierra on October 6, 2026, that defines how a person's AI agent connects to a business and what the business lets it do. Meta is co-developing it. Genesys, Instinct, Rocket, Shopify, Stripe and Walmart are named partners. The v0.1 specification is due later in October 2026 and was not published when this was written. The short version Think of a personal AI agent as an assistant you send to a store on your behalf. Today, that assistant has to walk in the front door like any customer: load web pages, find buttons, fill in forms. When that fails, it ends up on a phone line or in a web chat. PAP proposes a standard side entrance, so the agent and the business can exchange what they need directly and securely. How a PAP session works Based on Sierra's announcement as reported by The Next Web https://thenextweb.com/news/personal-agent-protocol-sierra-meta and Unite.AI https://www.unite.ai/sierra-unveils-personal-agent-protocol-built-with-meta-and-partners/ : 1. Discover. The agent finds out what a company offers, starting from its website. 2. Start as a guest. No login is needed for simple questions, such as whether an item is in stock or what the returns policy says. 3. Customer signs in. For anything account-specific, the customer signs in and chooses whether the agent gets read-only or write access. 4. Session continues. The session is built on OAuth and carries across channels, so what happened before and after sign-in stays connected. How a business can connect A company picks one of three routes, whichever gives the best experience: - Its website. Agents keep using the existing site. - An API. For example one described with MCP https://contextiq.trango-compute.com/blog/model-context-protocol-mcp-ai-agents or OpenAPI. - Its own agent. Useful for conversational tasks like a warranty claim. Businesses also set limits on what agents can do, and they get visibility into when a personal agent is acting for a customer. Is PAP a payment protocol? No. The name is easy to confuse with the payment protocols, but PAP does not handle payments in its first version. Sierra lists payments as a future extension, alongside push notifications for order or flight updates and more detailed permissions. If you want the payment side, read about x402 https://contextiq.trango-compute.com/blog/what-is-x402-http-402-payment-required-ai-agents , which lets an agent pay an HTTP endpoint. AP2 Google's Agent Payments Protocol is a separate effort for proving a user authorized a purchase. What is still unknown - The v0.1 spec text has not been published. - No license or governing body has been named in the coverage we reviewed. - How an agent proves which user it represents is not described. - No production deployments have been reported. Sierra says it will publish the spec, host design workshops and release a reference implementation. We will update this post when that happens. For a deeper comparison with MCP, AP2 and x402, see our longer piece, Personal Agent Protocol Explained https://contextiq.trango-compute.com/blog/personal-agent-protocol-pap-sierra-meta-oauth-mcp-ap2-x402 . Why it matters if you run an API or MCP server PAP sits above your existing integrations rather than replacing them. If you already expose an MCP server or an OpenAPI description, you are on one of the three routes. The MCP Inspector https://contextiq.trango-compute.com/mcp-inspector shows what an agent can discover about your server today, and a clean OAuth setup is the most reusable preparation for a protocol built on it. Follow Trango Compute on LinkedIn We post updates on new tools, context engineering patterns, and LLM cost research. Follow on LinkedIn https://www.linkedin.com/company/trango-compute