#Agent Loop
2160 related articles
Tutorials·3 min
Practical Guide to Developing an AI Agent-Based Crop Pest and Disease Early Warning System
A detailed guide to developing an AI Agent-based crop pest and disease early warning system, covering image recognition, data visualization, and meteorological monitoring modules.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A 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.
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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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Deep Dives·3 min
Hermes Agent Deep Dive: Five-Layer Memory Architecture and Self-Evolution Mechanism Fully Explained
A 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.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A 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.
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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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Tutorials·4 min
A Practical Guide for QA Engineers: Building 18 AI Agents with 5 Essential Tools
Learn 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.
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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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Deep Dives·4 min
The Complete Guide to Agentic RAG: Principles and Code Implementation
Deep dive into Agentic RAG vs traditional RAG, covering tool calling, multi-step iteration, query rewriting, with LangChain and LangGraph code examples for building intelligent retrieval systems.
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Product Reviews·2 min
Roo Code Arena Mode and Plan Mode Explained: New Ways to Use Your AI Coding Assistant
Roo Code launches Arena Mode for blind AI model comparison and Plan Mode for plan-first coding workflows, enhancing AI-assisted programming control and evaluation.
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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
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·3 min
Andrew Ng's New Course: A Practical Guide to Data Governance for Enterprise AI Agents
Andrew Ng and Databricks launch an AI Agent data governance course covering least privilege principles, Unity Catalog permissions, MLflow tracing, and a complete governance lifecycle from build to deployment. Free to learn.
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Product Reviews·3 min
CowAgent Open-Source AI Agent Deep Dive: The Super Intelligent Assistant with 44K GitHub Stars
A deep dive into CowAgent, the 44K-star open-source AI Agent on GitHub. Supports WeChat, WeCom, Feishu, and more, with DeepSeek, GPT-4o, Claude compatibility and full Agent capabilities.
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Product Reviews·2 min
LobeHub Deep Dive: The Multi-Agent Collaboration Platform with 75K GitHub Stars
A deep dive into LobeHub, the open-source multi-agent collaboration platform with 75K+ GitHub stars. Explore its Find, Build, and Collaborate capabilities built on TypeScript.
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Deep Dives·3 min
754 Cybersecurity Skills Library: An Analysis of the Open-Source AI Agent Security Capability Map
Anthropic open-sources 754 structured cybersecurity skill definitions across 26 domains, mapped to MITRE ATT&CK and 4 other frameworks, compatible with 20+ AI platforms for standardized AI Agent security capabilities.
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Product Reviews·3 min
EloPhanto Open Source Project Deep Dive: An Autonomous Startup Framework That Gives AI Agents a Personality
A deep dive into EloPhanto, the open source AI Agent project using Ego, Emotions, and Identity to drive autonomous business operations with zero human involvement.
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Product Reviews·3 min
mcproc: A Deep Dive into the MCP-Based AI Agent Process Management Server
mcproc is a Rust-based MCP server that gives AI agents background process management capabilities. This article covers its architecture, use cases, and value in the AI toolchain ecosystem.
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Deep Dives·4 min
Deep Dive into OpenAI Codex /goal: A New Paradigm Where AI Agents Work Continuously Until the Goal Is Achieved
Deep dive into OpenAI Codex CLI's /goal command: from Ralph Loop origins and three-layer protection to Rust source architecture and the goal-oriented programming paradigm shift.
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