#AI tool invocation
1242 related articles
Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
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Expert Opinions·4 min
Interview with a Core Developer of Microsoft's Agent Framework: A Complete Analysis of Architecture Design and Evolution
In-depth interview with Microsoft Agent Framework core developer Roger Barreto on the evolution from Semantic Kernel, middleware architecture design, enterprise stability strategies, and AI development best practices.
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Tutorials·3 min
One Month Into My Internship Without Writing a Single Line of Code: A Practical Guide to AI Agent Coding
AI agent coding is now reality in 2025. Learn how to set up OpenCode with DeepSeek and let AI agents write your code through conversation, not copy-paste.
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Deep Dives·3 min
Deep Dive into Hermes Agent: A Self-Evolving AI Framework That Uses Fewer Tokens Than OpenManus
Deep analysis of Hermes Agent: lower Token usage than OpenManus, persistent long-term memory, and a self-learning loop. See how this 120K-Star GitHub project redefines AI Agents.
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Deep Dives·3 min
Deep Dive into ByteDance's Hermes Agent Orange Book: A 198-Page Complete Guide to AI Agent Development
Deep dive into ByteDance's Hermes Agent Orange Book covering self-evolution loops, three-layer memory systems, Skill ecosystems, and multi-Agent collaboration — a complete 198-page technical guide.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Deep Dives·4 min
Harness Engineering Explained: The Third-Generation Development Paradigm for Taming AI Agents
Deep dive into Harness Engineering: the third-gen AI development paradigm. Learn its three-layer architecture for effectively harnessing AI Agents to complete complex development tasks.
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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·4 min
Complete Guide to Agentic RAG: Principles, Architecture, and Hands-On Implementation
Deep dive into Agentic RAG principles and implementation. Compare traditional RAG limitations, learn tool-based retrieval with ReAct Agent loops, with LangChain/LangGraph code examples.
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Tech Frontiers·3 min
Disney's ABC Sues the Trump Administration: New CEO's First Free Speech Battle
Disney's new CEO D'Amaro faces a major test as ABC sues the Trump administration for First Amendment violations. A deep dive into this constitutional battle's impact on Disney's strategy and press freedom.
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Tutorials·4 min
Agentic RAG Practical Guide: The Complete Evolution from Traditional RAG to Agent-Based Retrieval
Deep dive into Agentic RAG vs traditional RAG, with ChatPDF case study and LangChain code walkthrough covering tool design, multi-turn iteration, and autonomous decision-making for LLM engineers.
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Deep Dives·4 min
From AIGC to AI Agent: Core Strategies and Practical Guide for Multi-Agent Development in 2025
Deep analysis of AIGC vs AI Agent differences, covering multi-agent system architecture, task orchestration, hallucination control, with developer skill roadmap and career outlook.
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Expert Opinions·2 min
The Abuse of the AI Agent Concept: Why "11 AI Agents" Is Meaningless
When companies claim "11 AI Agents," what does that number mean? This article dissects the vague definitions, quantity marketing, and Agent Washing plaguing the AI industry.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Product Reviews·4 min
AI Agent Framework Selection in 2025: Pros and Cons of Coze, AutoGPT, LangChain, and AutoGen
2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
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Deep Dives·3 min
Deep Dive into Tencent's Open-Source WeKnora: An All-in-One Knowledge Platform with RAG + Agent + Wiki
Deep dive into Tencent's open-source LLM knowledge platform WeKnora, covering RAG, autonomous reasoning Agent, and self-maintaining Wiki capabilities, plus its Go-based architecture and enterprise use cases.
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Tutorials·4 min
Dify AI Agent Tutorial: Tool Integration & ESA Search Configuration in Practice
Complete guide to building AI Agents on Dify with zero code, covering tool integration, ESA search configuration, time awareness solutions, and Agent design best practices.
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Tutorials·4 min
Dify AI Agent Tutorial: Tool Integration & Exa Search in Practice
Complete guide to building AI Agents on Dify: covers Agent vs. chatbot differences, Exa search tool setup, time-awareness solutions, and functional separation best practices.
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Tutorials·4 min
Agentic RAG in Practice: Architecture Deep Dive and LangChain Implementation Guide
Compare traditional RAG vs Agentic RAG architectures, explore planning, tool use, and multi-step iteration capabilities, with full LangChain/LangGraph ReAct Agent code and ChatBoss project examples.
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Tutorials·2 min
Cursor 3.3 Context Usage Analysis: A Complete Guide to Understanding and Optimization
Cursor 3.3 adds Agent context usage analysis, helping developers visualize Rules, MCP, Skills context consumption. Learn how to optimize AI programming efficiency.
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