LLM Multi Agent

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Blog Posts ​

  • Unlocking a New Era of Intelligent Collaboration：A Deep Dive into Agent-to-Agent (A2A) Communication Frameworks An in-depth exploration of the Google Agent-to-Agent (A2A) communication framework, analyzing its core design principles, key concepts, differences from the MCP model, and how to achieve enterprise-grade robust applications. Understand how A2A empowers seamless collaboration between agents, ushering in a new era of intelligent automation.

  • AutoGen and MCP： Building Powerful Multi-Agent Systems An in-depth exploration of Microsoft's Model Context Protocol (MCP) in the AutoGen framework, and how to leverage it to build powerful multi-agent systems with Jira MCP, Confluence MCP, and Github MCP.

  • OpenManus Technical Analysis: Architecture and Implementation of an Open-Source Agent Framework OpenManus is an open-source agent framework designed to enable users to perform complex tasks through simple instructions, featuring a modular architecture with core components like the Agent Layer, Tool Layer, and LLM Interaction Layer. It supports tasks such as programming, web browsing, and file processing, offering a flexible and extensible platform for building AI agents, with future plans to enhance planning capabilities, expand tool sets, and improve user experience.

  • AI Agent This blog is a brief summary of the Agent application section in the paper "Agent AI: Surveying the Horizons of Multimodal Interaction" by Professor Fei-Fei Li et al.

  • Agentic AI: The Key to Opening a New Era of Intelligence A summary of OPENAI's paper "Practices for Governing Agentic AI Systems," discussing the potential benefits of Agentic AI and how to maintain its safety.

  • Agentic Document Extraction：新一代智能文档信息提取技术深度解析 Landing AI's Agentic Document Extraction breaks through the limitations of traditional OCR, enabling more intelligent and accurate extraction of structured information from various complex documents. This technology features core functionalities such as visual grounding, checkbox extraction, advanced image analysis, and PDF to ASCII conversion.

  • Model Context Protocol MCP is a universal protocol framework for data integration, improving reliability and accelerating the innovation and implementation of AI applications.

  • A2A----Ushering in a New Era of Agent Interoperability This blog post introduces Google's A2A (Agent to Agent) framework, an open standard and protocol designed to enable seamless interoperability between intelligent agents.