patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
a2aproject/a2a-samples
The a2aproject/a2a-samples repository provides code samples and demonstrations for using the Agent2Agent (A2A) Protocol. This protocol facilitates communication between autonomous agents, enabling them to interact and exchange information securely and efficiently. The repository serves as a practical resource for developers looking to understand and implement the A2A protocol in their applications. It includes example code that illustrates the mechanics of the protocol, helping users to grasp how agents can connect, communicate, and perform tasks collaboratively. The repository is part of a broader ecosystem that includes the A2A specification and documentation, a Python SDK for A2A, and a UI tool for inspecting A2A-enabled agents. These related projects provide comprehensive support for developers working with the protocol, from specification to implementation and debugging. The samples emphasize the importance of security when dealing with external agents. Since agents outside of direct control are considered potentially untrusted, the repository highlights best practices such as input validation and sanitization to prevent vulnerabilities like prompt injection attacks. This focus on security is crucial for developers aiming to build robust and safe applications using the A2A protocol. Contributions to the repository are welcomed, and users can seek help or provide feedback through the issues page. Although the repository is not an officially supported Google product, it offers valuable insights and practical examples for anyone interested in agent-to-agent communication protocols. Overall, the a2aproject/a2a-samples repository is a key resource for developers exploring the Agent2Agent protocol, providing hands-on examples, security guidance, and links to complementary tools and documentation within the A2A ecosystem.
https://github.com/a2aproject/a2a-samples
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