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TutorialsStep-by-step guide to locally deploy a personal AI knowledge base with DeepSeek + RAGFlow + Ollama. Covers RAG principles, Ollama setup, Docker deployment, and knowledge base optimization.
Deep DivesDeep breakdown of AI Agent Skill's three-layer architecture: decision layer dynamic routing, encapsulation layer SOP standardization, and execution layer state machine self-healing, with practical solutions for context explosion, error recovery, and generality balance.
TutorialsHow can Java developers transition to AI/LLM? This guide covers 10 core skills including Spring AI, LangChain4j, RAG, and DeepSeek API integration with practical tips.
TutorialsLearn how a custom MCP plugin connects Trae AI IDE with FoxTable, using knowledge bases and prompt engineering to build a complete business system in 4 minutes.
Deep DivesDeep analysis of NVIDIA's latest video AI Agent solution, using multimodal LLMs and modular Skills architecture to transform massive surveillance video into searchable real-time intelligence.
Product ReviewsDeep dive into LibreChat, an open-source self-hosted AI chat platform supporting GPT-5, Claude, Gemini, DeepSeek and more, with MCP protocol, Code Interpreter, Agents, and enterprise features. 36,500+ GitHub stars.
Product ReviewsIn-depth review of MeMo, an open-source AI Agent platform. Covers long-term memory, MCP protocol, multi-Bot container isolation, omni-channel deployment, with setup tutorials and usage tips.
TutorialsDeep dive into Anthropic's Building effective agents guide: workflow vs. agent distinctions, the technical selection pyramid, and framework pitfalls for building efficient LLM agents.
Product ReviewsIn-depth comparison of n8n, Dify, Coze, and OpenAI across automation, RAG knowledge bases, and complex Agent tasks. Includes a selection guide to help you find the best AI workflow platform.
TutorialsDeep 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.
Deep DivesDeep dive into AI code review system architecture with AST parsing, RAG retrieval, and vector databases. Learn how to boost review effectiveness from 30% to 80%.
TutorialsA systematic 2025 LLM career transition roadmap covering Python, Transformers, LangChain, LlamaIndex, RAG, Agent development, and fine-tuning across three phases achievable in 2-3 months.
TutorialsDeep dive into UpCtl's technical implementation: Tmux Session management for stable AI Agent operation, SSH tunneling for hybrid cloud deployment, four-level knowledge base replacing vector database RAG, and Ticket workflows for automated dev-test-deploy pipelines.
Product ReviewsIn-depth review of ByteDance's Trae 2.0 SOLO mode: from natural language requirements to one-click website deployment. Covers memory, self-repair upgrades, and impact on Manus and Genspark.
TutorialsJava+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.
TutorialsIn-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.
TutorialsDeep dive into a Go-based generative recommendation system powered by LLMs, covering three-level semantic understanding, three-layer user memory, and five-dimensional feedback design.
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 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.
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.