Introduction

The technology of artificial intelligence (AI) is becoming increasingly important for companies, but most of what has been promised is still theoretical. In this context, major tech companies are developing a series of tools to guide the development of generative AI agents. For example, Anthropic, Block, and OpenAI have decided to join forces to promote interoperability with the newly formed Agentic AI Foundation (AAIF), which is part of the non-profit Linux Foundation. This move elevates a handful of popular technologies and could make them a de facto standard for AI development going forward.

Technical Details

Model Context Protocol (MCP)

MCP is probably the most well-known of the trio, having been open-sourced by Anthropic a year ago. The goal of MCP is to link AI agents to data sources in a standardized way - Anthropic and now the AAIF call it a “USB-C port for AI” that allows developers to quickly and easily connect to any MCP-compliant server.

Goose

Goose is another tool used by the AAIF project. The goal of this tool is to facilitate the development of AI agents by creating a prototype environment for testing and developing these systems.

AGENTS.md

AGENTS.md is the third tool used by the AAIF project. This documentation provides detailed guidelines for best practices in AI agent development.

Practical Implications

The creation of a standard for AI agents could have a significant impact on the software industry. It could make collaboration between different companies easier, as they can adopt this new standard as a reference point.

Furthermore, this could improve the extension and scalability of AI agent applications.

Conclusion

The partnership between major tech companies and the Linux Foundation for developing AI agents is an important step towards greater interoperability in the industry.

We are curious to see how this standard evolves in the future and how it will be used by companies.