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A2A Protocol

A2A Implementations

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A2A Implementations

A2A Implementations

Name Author Description Stars
a2ajava @vishalmysore A pure Java implementation of Google's A2A protocol for Spring Boot applications, featuring both client and server implementations Stars
legion-a2a @TheRaLabs A TypeScript implementation of the A2A protocol with a focus on modularity and extensibility Stars
trpc-a2a-go @trpc-group Go A2A implementation by the tRPC team featuring full client/server support, in-memory task management, streaming responses, session management, multiple auth methods (JWT, API Key, OAuth2), and comprehensive examples Stars
a2a-go @a2aserver A Go library for building A2A servers, with example implementations Stars
a2a-rs @EmilLindfors An idiomatic Rust implementation following hexagonal architecture principles Stars
a2a_min @pcingola A minimalistic Python SDK for A2A communication Stars
a2adotnet @azixaka A C#/.NET implementation of the A2A protocol Stars
nestjs-a2a @thestupd A module for integrating the A2A protocol into NestJS applications Stars
python-a2a @themanojdesai An easy-to-use Python library for implementing the A2A protocol Stars
Aira @IhateCreatingUserNames2 An A2A network implementation for hosting, registering, discovering, and interacting with agents Stars
Cognisphere @IhateCreatingUserNames2 An AI agent development framework built on Google's ADK, facilitating agent creation potentially for A2A networks Stars
a2a-server @chrishayuk A lightweight A2A python implementation Stars
a2a-cli @chrishayuk A command-line client for the A2A Stars
A2A Test Suit @robert-at-pretension-io A2A Test Suite Stars
Grasp @adcentury A Self-hosted Browser Using Agent with built-in MCP and A2A support Stars
swissknife @daltonnyx A multi-agent chat application with MCP support, aiming to expose agents via the A2A protocol and connect to remote A2A agents as a client Stars
artinet-sdk @the-artinet-project A JS/TS SDK for the Agent2Agent Protocol with a focus on developer experience and comprehensive features Stars

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A2A vs ACP Protocol Comparison Analysis Report

A2A (Agent2Agent Protocol) and ACP (Agent Communication Protocol) represent two mainstream technical approaches in AI multi-agent system communication: 'cross-platform interoperability' and 'local/edge autonomy' respectively. A2A, with its powerful cross-vendor interconnection capabilities and rich task collaboration mechanisms, has become the preferred choice for cloud-based and distributed multi-agent scenarios; while ACP, with its low-latency, local-first, cloud-independent characteristics, is suitable for privacy-sensitive, bandwidth-constrained, or edge computing environments. Both protocols have their own focus in protocol design, ecosystem construction, and standardization governance, and are expected to further converge in openness in the future. Developers are advised to choose the most suitable protocol stack based on actual business needs.

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