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TutorialsA detailed guide to developing an AI Agent-based crop pest and disease early warning system, covering image recognition, data visualization, and meteorological monitoring modules.
TutorialsA complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
Deep DivesDeep 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.
Product ReviewsIn-depth review of Hermes Agent's Web UI, Kanban board, desktop app, and Terminal UI dashboard. Compared with Claude Code, see how this free open-source AI Agent framework makes automation accessible.
Deep DivesA deep dive into Huawei's open-source Hermes Agent framework: five-layer memory architecture, self-evolution loop, multi-agent collaboration, and comparison with Open Manus.
Expert OpinionsIn-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.
TutorialsAI 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.
Deep DivesDeep 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.
TutorialsA deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
Deep DivesDeep 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.
Deep DivesDeep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
Deep DivesDeep 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.
TutorialsHands-on testing of OpenAI's GPT-4 Turbo, DALL·E 3, Vision, and TTS APIs on AI2Apps, building an AI Agent that auto-generates novel covers from text.
TutorialsA 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.
TutorialsDeep dive into Agentic RAG principles and implementation. Compare traditional RAG limitations, learn tool-based retrieval with ReAct Agent loops, with LangChain/LangGraph code examples.
Tech FrontiersGitHub Copilot Cloud Agents now support fully configured dev environments with repo cloning, dependency installation, and toolchain credentials—evolving AI from code completion to autonomous development.
TutorialsDeep 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.
Deep DivesDeep analysis of AIGC vs AI Agent differences, covering multi-agent system architecture, task orchestration, hallucination control, with developer skill roadmap and career outlook.
Expert OpinionsWhen 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.
TutorialsLearn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.