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Get started with Codex AI Agent from scratch: project creation, plugin setup (Computer Use/Remotion), Plan Mode vs Goal Mode, and a hands-on demo of generating MG animation in one sentence.

Get started with the Codex AI Agent from scratch: project creation, plugin config (Computer Use/Remotion), Plan Mode vs Goal Mode, and a hands-on demo of generating an MG animation in one sentence.

Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.

SJTU professors open-source a 4-stage Agent tutorial on GitHub, covering LLM basics, ReAct, multi-agent systems, and real-world projects — a practical path to AI engineering.

An in-depth look at LangChain V1.3's core philosophy: from RAG to multi-agent workflows. Master LangGraph, Chain, and DeepAgent, learn token control and Human-in-the-loop, and become a true master of AI app development.

An in-depth guide to installing, logging in, and using OpenAI Codex CLI: call AI directly in your local terminal to modify code, refactor components, and add file and image context, with Git branch management for an efficient local AI coding workflow.

Why do beginners struggle with AI Agent development? This article breaks down a concise tutorial approach: real-world examples, core logic focus, and practical mindset-building to help you get started fast.

Learn how to give AI agents task planning capabilities through prompt engineering, implementing automatic decomposition and execution of complex data analysis in Excel.

Learn how to build a Tide App WeChat Mini Program in 4 sessions using OpenAI Codex AI coding Agent, covering agents.md setup, Plan Mode, domain config, and more.

Complete guide to ByteDance's Coze platform covering multi-agent collaboration, credits system, model selection, local programming tool integration, and workflow building for beginners.

Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.

Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.

A detailed guide to deploying PilotDeck, an open-source Agent platform, with four practical use cases: research reports, one-sentence website generation, data analysis visualization, and Feishu IM integration.

A deep dive into Andrew Ng and Anthropic's Agent Skills course: how to empower AI agents like Claude Code with new capabilities through standardized skill files, progressive loading, and MCP integration.

A detailed guide to configuring Unreal Engine 5.8's built-in MCP server for AI agent-driven game development, covering DeepSeek API setup, plugin activation, and natural language scene building.

Complete guide to building automated AI agents with Cherry Studio and MCP protocol, covering environment setup, MCP Server configuration, web scraping, Shell execution, and Ollama local knowledge base deployment.

Learn how to build a Voice Agent with speech recognition, conversation understanding, and calendar booking using Claude Code and AssemblyAI in one afternoon.

A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
TutorialsComplete guide to deploying Hermes Agent locally, covering WSL2 installation, Git setup, and DeepSeek model integration on Windows to build a self-learning open-source AI Agent.
TutorialsComplete guide to deploying Hermes Agent locally on Windows, covering WSL2 setup, Git configuration, and DeepSeek model integration for a self-learning AI Agent.