#LangChain4j tutorial
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Tutorials·2 min
LangGraph Multi-Agent Architecture in Practice: A Complete Guide from Single Agent to Enterprise-Level Applications
In-depth guide to LangGraph multi-agent architecture: covering Graph structures, MCP protocol integration, single Agent building to enterprise-level multi-agent collaboration for AI developers.
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Tutorials·2 min
Hermes + 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.
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Tutorials·1 min
LangGraph 1.0.5 Tutorial: Master AI Agent Orchestration & Multi-Agent Systems in Six Lessons
Complete guide to LangGraph 1.0.5 tutorial series covering durable execution, memory management, Human in the Loop, streaming, time travel, and multi-agent collaboration.
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Tutorials·3 min
Codex + DeepSeek Integration Tutorial: Three-Step API Proxy Script Setup
Learn how to connect OpenAI Codex to DeepSeek V4 Pro and other LLMs using CC Switch and a local API proxy script. Solve API format incompatibility in three easy steps.
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Expert Opinions·4 min
Using AI All Day But Still Not More Productive? You're Chatting, Not Using an Agent
Using Doubao, Kimi, or ChatGPT daily but still overwhelmed? The problem isn't AI — it's how you use it. Learn the key difference between AI chat and AI Agents, and how to shift from talking to AI to having AI actually do the work.
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Tutorials·3 min
2026 AI Learning Roadmap: 3 Proven Paths + A 4-Step Action Checklist (With Complete Technical Framework)
How to learn AI in 2026 without wasting time? This guide covers 3 proven paths — AI Agent customization, vertical specialization, and full-stack LLM development — plus a 4-step action checklist.
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Tutorials·2 min
2026 AI Large Language Model Learning Roadmap: Complete Guide from Zero to Agent Development
2026 AI large model learning roadmap: from Python basics and prompt engineering to RAG knowledge base, Agent development, and fine-tuning deployment. A complete 42-episode full-stack tutorial with three proven paths for enterprise AI deployment.
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Product Reviews·4 min
Manus AI Hands-On Review: Can This AI Agent Actually Do Your Work? 4 Real-World Scenarios Tested
In-depth hands-on review of Manus AI across 4 real scenarios: competitor analysis, content planning, no-code website building, and automated PPT creation. See how this AI Agent evolves from assisting thinking to executing tasks.
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Product Reviews·3 min
8K Stars on GitHub: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the awesome-LLM-resources project (8200+ GitHub Stars), covering multimodal AI, Agents, MCP protocol, model training, o1 reasoning, SLMs, and more for LLM practitioners.
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Tutorials·3 min
CLIProxyAPI Deployment Guide: Aggregate Multi-Platform AI Accounts for Unlimited Free Tokens
Complete Docker deployment guide for CLIProxyAPI (CPA) — aggregate OpenAI, Gemini, and CodeX accounts into one unified API with multi-account rotation to maximize free Token usage.
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Tutorials·4 min
Hermes Agent in Practice: Building a Memory-Persistent AI Assistant with a Four-Layer Memory System
Deep dive into Hermes Agent's four-layer memory system architecture, covering Harness Engineering principles, Lark integration, persistent memory configuration, and autonomous Skill evolution for building AI assistants that never forget.
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Tutorials·3 min
The Complete Codex Guide: From Download & Installation to Real-World Practice
Complete guide to OpenAI Codex: download, installation, plugin system, Skill library & practical tips. Covers project management, website building, and automation tasks.
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Tutorials·4 min
Java Developers Transitioning to AI: A Practical Path to a 50% Salary Increase When Switching Jobs
Java+AI roles offer 30%-60% salary premiums in 2026. Learn how Java developers can master LLM skills, Spring AI, and AI tools to land higher-paying jobs.
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Tutorials·3 min
AI Agent Learning Roadmap: A Complete Guide from LangChain to Enterprise Deployment
In-depth analysis of the popular GitHub project ai-agents-from-zero, covering LangChain, LangGraph, RAG, MCP and more, with a complete learning path from beginner to enterprise AI Agent development.
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Product Reviews·3 min
DifyAIA: A Free Dify AI Workflow Template Library with 2500+ Stars
DifyAIA is a popular open-source Dify workflow template project on GitHub with 2500+ Stars. It offers free DSL workflow files for one-click import into Dify. Learn its features, usage, and use cases.
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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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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·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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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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Tutorials·3 min
awesome-llm-apps: A 100K-Star GitHub Project with 100+ AI Agent & RAG Applications
awesome-llm-apps is a 100K+ Star GitHub project featuring 100+ ready-to-run AI Agent and RAG apps. Built in Python with clone-and-run simplicity, it's an essential resource for LLM developers.
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