Agent2Agent (A2A) – AgentCards, Servers, Clients, Docs
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Updated
May 9, 2025
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Agent2Agent (A2A) – AgentCards, Servers, Clients, Docs
Elkar - Task management for AI Agents, ready for Agent2Agent (A2A) protocol
Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.
Only natural-language is enough for you & your team.
Mock HTTP/SSE and LLM servers, inspired by wiremock, but with response streaming and SSE
A JS/TS SDK for the Agent2Agent Protocol
A Java implementation of the A2A protocol, that's agent to agent scenarios with google a2a protocol
Cognisphere ADK is an AI agent development framework built on Google's Agent Development Kit (ADK)
AgentX python SDK. Build multi-agent AI workforce.
Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.
A2A-4J is a Java implementation of the Agent-to-Agent (A2A) protocol. The A2A protocol facilitates standardized communication between AI agents, enabling them to exchange tasks, messages, and artifacts.
Open-source gateway and community to make AI agents interoperable using Google's A2A protocol – like Hugging Face, but for agents.
kbs_agent_a2a 智能体协议适配中间件
A2A-MCP official website with modern UI and dark mode support
Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.
An agent playground (without authentication) in a single repo for fastest turn around cycles during experiments.
Agent-to-agent model generated from a2a.json schema
Agent-to-Agent (A2A) communication protocol for inter-agent coordination and a Model Context Protocol (MCP)-inspired architecture for interacting with external tool servers.
a2a‑go is a reference Go implementation of the Agent‑to‑Agent (A2A) protocol by Google, including the proposed interoperability with the Model Context Protocol (MCP) from Anthropic.
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