#Agent-to-Agent protocol
32 related articles
Product Reviews·2 min
AgentChat: An Instant Messaging Platform That Lets AI Agents Communicate Like Humans
AgentChat is a free instant messaging platform built for AI Agents, supporting one-on-one messaging, group chats, and contact management for cross-framework Agent collaboration.
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Product Reviews·2 min
FlowMarket: How an AI Agent Social Network Is Reshaping B2B Transactions
FlowMarket is an AI agent social network that auto-generates B2B leads via Agent-to-Agent matching. A deep dive into its core mechanics, market positioning, and potential impact on B2B sales.
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Tutorials·2 min
ACPX in Practice: Scaling AI Agent Deployment on Kubernetes for Automated PR Processing
How to build an automated PR processing system using ACP protocol, ACPX workflow engine, and Kubernetes. From OpenCLO's 60K+ PR challenge to enterprise-grade multi-Agent orchestration.
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Deep Dives·2 min
The Rise of AI Operating Systems: How Large Models Are Evolving from Tools to OS
AI is evolving from a single tool into a complete operating system. This article analyzes AI OS core architecture, MCP/A2A protocol standardization, and how Agents are becoming the next OS paradigm.
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Tutorials·1 min
AI Agent Interview Focus Comparison: ByteDance vs. Tencent vs. Alibaba — Differences in Approach & Preparation Strategies
Deep comparison of AI Agent interview focuses at ByteDance, Tencent, and Alibaba: ByteDance drills ReAct implementation & RLHF details, Tencent emphasizes MCP protocols & memory systems, Alibaba focuses on multi-Agent architecture & business deployment.
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Tutorials·1 min
AI Agent Open-Source Course: 36 Chapters from ReAct to Claude Code Full-Stack Practical Guide
Open-source GitHub project agent-study offers 36 chapters covering ReAct loops, Claude Code reverse engineering, MCP protocol, RAG, DSPy, and production observability as runnable Python code.
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Deep Dives·3 min
Google Agent Platform Deep Dive: Building Production-Grade AI Agents with ADK, MCP, and A2A
Deep dive into Google Cloud Next 2025's Agent Platform: ADK framework, MCP integration, A2A multi-Agent collaboration, context engineering, security governance, and a marathon simulation demo.
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Deep Dives·4 min
A2A Protocol Explained: Complementing MCP to Build a Standard Communication Layer for Multi-Agent Collaboration
Deep dive into Google's A2A protocol core mechanisms (Agent Card, Task, Transport), comparing A2A vs MCP roles, and tracing the evolution from tool calling to multi-agent team collaboration.
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Deep Dives·3 min
MCP Protocol Explained in 3 Minutes: The USB-C Standard for AI
A clear breakdown of MCP (Model Context Protocol): its core concepts, three standard primitives, real-world use cases, and ecosystem status. Learn how Anthropic's open-source unified tool integration standard is changing AI development.
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Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
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Tutorials·3 min
awesome-llm-apps: A 100K-Star GitHub Project with 100+ AI Agent & RAG Applications
awesome-llm-apps is a 100K+ Star GitHub project featuring 100+ ready-to-run AI Agent and RAG apps. Built in Python with clone-and-run simplicity, it's an essential resource for LLM developers.
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Tutorials·3 min
Programmer Yupi's AI Resource Collection: A Complete Learning Path from Zero to Production
A deep dive into the popular GitHub project liyupi/ai-guide covering Vibe Coding tutorials, LLM usage, AI coding tools (Cursor/Claude Code), Prompts, RAG/MCP/Agent concepts — a 13,000+ Stars Chinese AI learning resource hub.
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