Blog Posts
"FastMCP 2.0: Building the USB-C of AI with Python" A comprehensive guide to FastMCP 2.0, the Python framework revolutionizing how LLMs connect with external tools and resources through the Model Context Protocol.
Building Intelligent Agents ---- A Practical Framework from Concept to Deployment A comprehensive guide to building AI agents that deliver real value, from defining realistic tasks to deploying and iterating in production using a proven six-step methodology.
Beyond the Tool ---- Crafting AI Products with Technical Excellence and Human-Centered Design Exploring the evolution of AI products from functional tools to meaningful companions through engineering excellence, context management, and human-centric design principles
MemOS----Revolutionizing LLM Memory Management as a First-Class Operating System Explore how MemOS transforms LLM capabilities by elevating memory to a first-class resource, solving critical challenges in knowledge retention, context management, and personalized AI interactions through innovative memory architecture.
The Rise of Context Engineering--Building the Foundation for Next-Generation AI Agents Exploring how context engineering is transforming AI agent development, bridging the gap between prompt engineering and robust agent architectures through practical insights and real-world applications
The Art of Multi-Agent Collaboration: Deep Reflections on Anthropic's Research System Engineering A comprehensive reflection on Anthropic's multi-agent research system construction experience, exploring modern AI system architecture design, engineering challenges, and practical insights. From philosophical significance to engineering practice, from architectural wisdom to future prospects, this article provides a thorough analysis of multi-agent system design principles and implementation approaches.
Unlocking a New Era of Intelligent Collaboration：A Deep Dive into agent-2-agent (A2A) Communication Frameworks An in-depth exploration of the Google agent-2-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.