Reference · Standards for AI Agents

The Agentic Standards Landscape

AI agents are software that can take actions for a person (booking, buying, filing, scheduling), not just answer questions. For that to work efficiently and safely, agents need shared rules for how they find each other, prove who they are, talk to one another, and pay. This is a plain-language map of who is writing those rules: standards development organizations, the major companies, and the U.S. government. It is a starting point, not a complete list.

Updated May 2026 Non-partisan · Not legal advice Download PDF
In Use Today In Progress Early / Testing Government Comment Closed
01 — The Shared Foundation

The Linux Foundation & the AAIF

The Linux Foundation, the long-standing nonprofit that hosts neutral, shared technology like Linux itself, has become the common home for the building blocks of AI agents. In December 2025 it created the Agentic AI Foundation (AAIF) to keep these owned by no single company. Founded by Anthropic, Block, and OpenAI, with Amazon, Bloomberg, Cloudflare, Google, and Microsoft also at the top tier. Membership has grown to roughly 190 organizations, now including government agencies and universities. The four building blocks it stewards:

Anthropic's standard for letting an agent plug into outside tools and data (a calendar, a database, a service), like a universal adapter. The most widely adopted piece.
Google-created standard for letting agents from different companies talk to and hand off work to each other. Now at version 1.0; IBM folded its rival effort into it.
An OpenAI-contributed, plain-text way to give coding agents consistent instructions for a project.
A free, open starter kit from Block (the Square/Cash App company) for building working agents.
02

Open Technical Standards Groups

W3C — AI Agent Protocol Group

Active
Volunteer-led

The W3C sets the open standards behind the web. This volunteer group (~180 participants from industry and academia) is drafting shared rules for how agents find and safely work with one another online. Early drafts since Aug 2025. w3.org/community/agentprotocol

W3C — WebMCP

Early Testing
Google + Microsoft

A proposed web standard, led by Google and Microsoft, that lets an ordinary website offer an agent a safe, structured way to act on it (e.g. "book this appointment") instead of the agent clicking around blindly. In early testing in Google Chrome. github.com/webmachinelearning/webmcp

IETF — Agent Identity Work

Draft
IETF

The IETF writes the core plumbing standards of the internet. Its working drafts tackle the hard question of giving each agent a verifiable identity and limiting what it's allowed to do on a person's behalf. Contributors include Amazon, OpenAI, and security firms. datatracker.ietf.org · agent identity draft

OpenID Foundation — AI Identity Group

Active
OpenID Foundation

The group behind the "Sign in with…" login standards used across the web. It is working to extend proven identity and permission rules to AI agents, so the same trusted login plumbing covers agents acting for users. openid.net · AI Identity group

03

U.S. Government

NIST — AI Agent Standards Initiative

Federal
NIST / CAISI

Launched Feb 17, 2026 by NIST's Center for AI Standards and Innovation, among the first U.S. efforts focused on agents working together safely. Three aims: support industry-led standards and U.S. leadership abroad, back the open building blocks above, and research agent identity and security. nist.gov/caisi/ai-agent-standards-initiative

CAISI — Request for Input on Agent Security

Closed Mar 9
NIST / CAISI

NIST NCCoE — Agent Identity Project

Closed Apr 2
NIST / NCCoE

04

Industry Conveners

Advanced AI Society

Convening
Industry group

A neutral group that gathers the various technical teams to compare notes and agree on shared priorities (agent identity, how agents discover each other, and trustworthy payments) so efforts don't fragment. luma.com · standards convening

MCP / Agent Dev Summits

Recurring
AAIF

05

Shopping & Payments — The Fastest-Moving Area

Letting Agents Shop & Check Out
From OpenAI and Stripe. Powers buying inside ChatGPT. Used by Etsy, Shopify, PayPal, Salesforce. OpenAI has since shifted focus from in-chat checkout toward product discovery and merchant-controlled purchasing.
Google's version, for agents to browse store catalogs and check out. Partners include Walmart, Target, Shopify, and Etsy.
Making Agent Payments Trustworthy
Google-led, works with any payment type. Creates a tamper-proof record proving the agent had the user's OK to buy. Backed by Mastercard, PayPal, and American Express.
Visa's program to let agents pay safely, with spending limits and fraud checks built for purchases a person isn't clicking through themselves. Includes its "Trusted Agent" rules (Oct 2025).
Mastercard's equivalent (launched Apr 2025): verified agents, set spending limits, and proof the user consented. Live in several countries.
Stores, Wallets & "Know Your Agent"
An open standard for agent payments on the web. Started by Coinbase, now governed by the Linux Foundation.
Retailers' own agents
Walmart's Sparky now appears inside ChatGPT and Gemini; Amazon and Instacart have their own. Big stores increasingly want shoppers using their agent, not a platform's checkout.

Underneath all of this sits "Know Your Agent": verifying an agent is legitimate and authorized, the way banks verify customers. This is the layer most directly tied to AFI's policy work.

06

The Big Picture

These pieces fit together rather than compete. An agent uses MCP to reach tools and data, A2A to coordinate with other agents, identity standards (IETF, OpenID, "Know Your Agent") to prove who it is and what it's allowed to do, and the shopping and payment standards to buy on a person's behalf. The Linux Foundation / AAIF, W3C, IETF, and OpenID keep the rules open and shared, while NIST anchors the U.S. government's role. The central policy questions (identity, consent, security, accountability) cut across every layer.

agenticfuturesinitiative.org  ·  For member discussion  ·  Not legal advice  ·  A starting point, not a complete list