#Agent
117 related articles
TutorialsComplete Installation & Configuration Guide for VectCut AI Editing Agent: Windows & Mac
Complete guide to installing and configuring VectCut AI Editing Agent on Windows and Mac, covering client download, CapCut draft path setup, and Git Bash installation.
TutorialsLangChain Core Concepts Explained: A Complete Guide to Components, Chains, and Agents
Deep dive into LangChain's three core concepts—Components, Chains, and Agents. Learn how this open-source framework connects LLMs to the external world and helps developers build enterprise AI apps.
Product ReviewsKimi K2.6 In-Depth Review: A Complete Breakdown of Its Coding and Agent Capabilities
In-depth review of Kimi K2.6's coding, Agent collaboration, and visual development capabilities. #1 open-source on SWE-Bench Pro, 300 parallel sub-agents, API priced at 1/3 of competitors.
Tech FrontiersKimi K2.5 Fully Open-Sourced: Deep Dive into 1T Parameter MoE Architecture + Agent Cluster Capabilities
Deep dive into Moonshot AI's fully open-sourced Kimi K2.5: 1T parameter MoE architecture, Vision-to-Code capabilities, and 100-Agent parallel cluster system topping open-source benchmarks.
TutorialsLearning LLM Application Development from Scratch: A Complete Roadmap from RAG to Agent
How to start LLM application development from scratch? A complete roadmap covering Python basics, RAG knowledge bases, and Agent development with LangChain.
TutorialsLLM Learning Roadmap: A Complete Guide from Beginner to Project Implementation Across Seven Core Modules
A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
Product ReviewsThree AI Agents Tested Head-to-Head: Which One Handles E-Commerce Livestream Data Analysis Best?
Testing three AI Agents on e-commerce livestream data analysis: local deployment memory limits, costly overseas APIs, and how a cloud-based multi-model solution delivers a complete business workflow.
Tutorials8 Core Concepts of AI Programming: From Chat Mode to Engineering Mode
A systematic breakdown of 8 core AI programming concepts: Agent, Sandbox, Permissions, Cloud.md, MCP, Skills, Subagents, and Non-interactive — evolving from chat mode to engineering mode.
Industry InsightsAI Agent Developer Toolchain: Code Search, Diff Viewing & K8s Config Generation in Practice
Deep dive into AI Agent developer tools: Symbol code search saves 98% Tokens, plus Filess AMD local notes, K8s config generation, and more practical tools.
TutorialsAgentic Search in Practice: A Guide to Selecting and Combining Search Tools for Agent Context
Elastic engineer shares Agentic Search methodology: from traditional RAG limitations to Agent search tool combination strategies, covering semantic search, general query, and Shell tool comparisons.
TutorialsClaude Code Practical Guide: 26 Pro Tips to Master This AI Coding Agent
In-depth guide to Anthropic's Claude Code: 26 practical tips covering CLAUDE.md, Hooks, MCP, Skills, and Subagents for mastering this autonomous AI coding Agent.
TutorialsAI Learning Roadmap for Java Developers: From LLMs to RAG and Agent Development
A dedicated AI learning roadmap for Java developers covering Spring AI, LangChain4J, RAG, and Agent development — from fundamentals to production deployment.
Product ReviewsGizang-PPT-Skill Open Source Project: An AI Agent Magazine-Quality PPT Creation Tool with 8K Stars
Deep dive into Gizang-PPT-Skill, an 8K-star GitHub project that equips AI Agents with visual design skills for magazine-quality PPT creation with consistent aesthetics.
Product ReviewsReplit Agent 3 Deep Dive: The AI Coding Powerhouse That Works 200 Minutes Straight
Deep analysis of Replit Agent 3's multi-agent architecture and browser simulation testing. Compare with GitHub Copilot and Cursor, and see how this AI assistant works 200 minutes straight to help anyone build apps in an hour.
TutorialsClaude Code + Cline in Practice: Building a Meeting Summary Agent Skill from Scratch
Learn how to build a Meeting Summary Agent Skill with Claude Code and Cline, covering MCP protocol integration, sentiment analysis, and structured output design.
TutorialsLangChain Agent Executor Architecture: Building a ReAct Agent from Scratch
Deep dive into LangChain Agent Executor internals, covering the ReAct reasoning-action-observation loop, tool choice strategies, and building a custom Agent Executor from scratch.
TutorialsLangChain AI Agent in Practice: Complete Tutorial on Streaming Output + Parallel Tool Calling
Learn how to build a production-grade AI Agent chat app with LangChain and FastAPI, covering streaming tokens, asyncio parallel tool calling, SerpAPI async conversion, and structured output.
TutorialsClaude Code Agent Teams Practical Guide: 30 Tips for Efficient Collaboration
In-depth analysis of 30 practical tips for Claude Code Agent Teams, covering team formation, task planning, cost control, and file conflict avoidance.
TutorialsAndrew Ng's New Course Explained: Agent Memory Engineering from Basics to Practice
Deep dive into Andrew Ng's Agent Memory course with Oracle: covering memory engineering concepts, memory-first architecture design, and building AI agents with persistent memory.
TutorialsHermes + Qwen3.6 Local Deployment Tutorial: Build Your Private AI Agent at Zero Cost
Step-by-step tutorial to deploy Hermes Agent with Qwen3.6 open-source LLM locally. Covers WSL setup, model download, Telegram bot integration for a zero-cost private AI Agent.