Agentic AI Foundation: A Community Unifying AI Tools and Standards
What Is the Agentic AI Foundation?
The Agentic AI Foundation (AAIF) is an open community, founded in 2025 by the Linux Foundation, to provide a vendor-neutral approach for frameworks, standards, and practices as Agentic AI systems move from experimentation into real-world production.
AAIF develops open standards and frameworks through 6 Working Groups to collaborate on focused initiatives, share best practices and expertise, and drive practical outcomes across the AI ecosystem for building production-ready agentic AI systems. Its key members currently include OpenAI, Google, Microsoft, AWS, Anthropic, Block, Bloomberg, Cloudflare, and many more.
The 6 Working Groups
Each working group owns standards and best practices for one part of the agentic stack:
| Working Group | What it defines |
|---|---|
| Taxonomy & Landscape | A shared glossary of agentic AI terms and an ecosystem map so every other group works from common definitions. |
| Accuracy & Reliability | What reliability, accuracy, and consistency mean for autonomous systems — including failure management and SLAs. |
| Agentic Commerce | Agent discovery, negotiation, payment authorization, and protocols for trustworthy autonomous transactions. |
| Governance, Risk & Regulatory Alignment | Shared frameworks aligning agentic innovation with legal, ethical, and regulatory expectations (e.g., the EU AI Act). |
| Identity & Trust | Portable identity and dynamic trust for agents — delegation protocols, cross-domain identity, and permission flows. |
| Security & Privacy | Industry benchmarks for secure agentic operations, security-by-design, and adversarial testing methodologies. |
Key Questions
Q1) What does the Agentic AI Foundation actually produce?
Open standards, best practices, and reference frameworks — organized across 6 working groups (Taxonomy & Landscape, Accuracy & Reliability, Agentic Commerce, Governance/Risk/Regulatory Alignment, Identity & Trust, and Security & Privacy) plus 5 hosted projects.
Q2) What are the key standards available as part of AAIF?
- MCP: a protocol for data integration between LLM applications and external data sources, donated by Anthropic.
- AGENTS.md: an open standard for guiding coding agents, donated by OpenAI.
- Agent2Agent (A2A): an open protocol designed to enable interoperability between AI agents, donated by Google.
Q3) Why this matters for architects?
For teams building production agentic systems today, AAIF serves not only as a shared community but also as a unified place for common standards, best practices, and tools, including:
- AAIF Agentic AI Projects List
- AAIF Agentic AI Landscape
- AAIF Blogs covering key topics such as:
Q4) Is there a visual interface for exploring Agentic AI standards, tools, and technologies?
Yes. Similar to the CNCF Cloud-native Landscape, AAIF has published an Agentic AI Landscape, shown below: