An open protocol enabling communication and interoperability between opaque agentic applications.
#大语言模型#⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports Ch...
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes...
A single interface to use and evaluate different agent frameworks
Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.
A decentralized agent network for building collaborative, LLM-powered agent-to-agent (A2A) systems.
#大语言模型#⭐ A 3D AI desktop companion with endless possibilities! It already supports RAG, web search, long-term memory, code interpreters, MCP, A2A, Comfyui, WeChat, QQ, Bilibili live bots, and many more featu...
#大语言模型#Elkar - Task management for AI Agents, ready for Agent2Agent (A2A) protocol
Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.
#大语言模型#Shared Memory Storage for Multi-Agent Systems
#大语言模型#Step-by-step challenge lab repo to build your custom LLM Deep Researcher Assistant using Genkit
The agentic browser for your AI apps and agents, with built-in MCP and A2A support.
.NET implementation of the Agent2Agent (A2A) protocol to enable secure, interoperable communication between autonomous agents across frameworks and vendors.
#大语言模型#A2A4J is a comprehensive Java implementation of the Agent2Agent Protocol, including server, client, examples, and starters.
ScaledMCP is a horizontally scalabled MCP and A2A Server. You know, for AI.
Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP