The Agentic AI Foundation represents a significant collaborative effort to establish open, interoperable infrastructure for autonomous AI systems. Operating as a directed fund within the Linux Foundation, this initiative brings together major technology players to address critical challenges in agentic AI development. The foundation employs proven open-governance structures including technical steering committees and contributor-driven roadmaps to ensure balanced industry representation.
At its core, the foundation aims to reduce vendor lock-in and mitigate security risks posed by autonomous agents that interact with external software and services. This mission directly addresses growing concerns about ecosystem fragmentation as AI systems become more capable of independent action. The foundation seeks to provide vendor-neutral oversight amid diverse industry efforts to develop AI agent infrastructure. The next MCP Dev Summit is scheduled for April 2026 in New York City, further promoting community collaboration across the ecosystem.
Preventing vendor dependence while securing autonomous AI systems—crucial safeguards against fragmentation in an increasingly independent AI landscape.
Companies join through a tiered membership model, with platinum members including Amazon Web Services, Anthropic, Block, Bloomberg, Cloudflare, Google, Microsoft, and OpenAI.
The foundation launches with three inaugural projects that form complementary building blocks for agent ecosystems:
- Model Context Protocol (MCP): Standardizes how large language models receive context and connect with tools
- Goose: An open-source framework for building agentic workflows and runtime behaviors
- AGENTS.md: A machine-readable convention for documenting agent capabilities and integration patterns
These projects collectively enable developers to build agents that can work across different AI models and platforms. AGENTS.md already sees adoption in approximately 40,000 open-source projects, demonstrating significant developer interest in standardized agent frameworks. The foundation’s approach aligns with broader digital transformation goals, requiring members to develop technical skills for effective participation in these innovative protocols.
Technical priorities focus on four key areas:
- Creating open protocols for reliable tool integration
- Promoting reusable agent components and libraries
- Addressing security and safety concerns specific to autonomous systems
- Improving developer experience through SDKs and documentation standards
The foundation’s diverse membership supports its positioning as a neutral “Switzerland” for agentic AI infrastructure. This neutrality aims to increase both developer and enterprise confidence in adopting these protocols, ultimately accelerating innovation while maintaining balanced multi-stakeholder governance of increasingly autonomous AI systems.
