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Basic Information

This repository is a curated collection of resources, implementations, examples, tools, and documentation for the Agent2Agent (A2A) protocol, an open protocol enabling secure communication and collaboration between autonomous AI agents. It gathers official technical documentation, specification references, language-specific SDKs and libraries, sample agents and demos, framework integrations, platform projects, utilities, tutorials, and community contributions. The README explains A2A concepts such as Agent Card, Task, Message, Part, and Artifact, summarizes high-level operation (discovery, communication, execution, streaming updates), and lists official and community implementations across TypeScript, Python, Go, Java, Rust, and .NET. The repository is intended as a single reference to help developers, researchers, and platform builders find code samples, interoperability guides, and tooling related to building or integrating A2A-compliant agents.

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Features
Comprehensive, categorized listings of A2A resources and implementations are presented, including official samples, framework integrations, and community SDKs sorted by language. The README highlights core protocol principles (simple standards, enterprise readiness, async-first, modality agnostic, opaque execution) and explains high-level flows: agent discovery, task request/response, streaming status/events, and artifacts. It catalogs official sample agents and demos for TypeScript, Python, Go, Java and other languages, shows framework integrations (LangGraph, Genkit, CrewAI, Google ADK), and enumerates platforms and tools such as validation utilities, agent discovery services, monitoring adapters, and example multi-agent orchestration projects. Contributing guidelines and quick-start recommendations are included.
Use Cases
This curated list centralizes scattered A2A information so developers and teams can quickly locate specifications, code samples, SDKs, and practical demos to build interoperable agents. Readers can follow the suggested learning path: understand concepts, read the spec, run official samples, and adapt example agents or SDKs to their stack. The repo helps evaluate language implementations, view framework integration patterns for discovery, auth, streaming and artifact handling, and find tools for validation, telemetry, and agent registration. It also surfaces multi-agent orchestration examples, quick-start projects recommended for first-time users, and community projects to fork or extend, making experimentation, integration, and production readiness easier.

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