Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.
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Updated
May 24, 2025 - TypeScript
Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.
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.
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
🐇 RabbitHole: An open-source Python toolkit for building and orchestrating autonomous AI agents using the Agent-to-Agent (A2A) communication protocol.
A2A-MCP official website with modern UI and dark mode support
An agent playground (without authentication) in a single repo for fastest turn around cycles during experiments.
LeapRAG is an open-source platform that integrates advanced RAG technology with Google’s A2A protocol, enabling users to build context-aware, data-driven agents. These agents are automatically A2A-compliant and can be discovered and used by any compatible client without extra development.
This is a library for implementing an Agent2Agent (A2A) server using Google Apps Script. This enables AI agent communication and secure service access for AI-powered workflows.
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