#knowledge management
33 related articles
Industry Insights·4 min
In-Depth Analysis of the AI Large Model Job Market: Two Core Directions and Future Trends
In-depth analysis of the AI large model job market, breaking down the two core directions—algorithm research and engineering deployment—covering requirements, barriers, and career prospects.
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Tutorials·3 min
Complete Guide to Integrating AI CLI with Obsidian: Let AI Understand Your Entire Note Vault
Learn how to run Claude Code, Gemini CLI, and other AI CLI tools in Obsidian via the Terminal plugin for vault-wide awareness, note summarization, and more.
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Tutorials·3 min
Four AI Diagram Paradigms: Claude Code and Gemini CLI Reshape Presentation Workflows
Explore four AI diagram paradigms: Excalidraw hand-drawn diagrams with Claude Code, Obsidian Canvas with Gemini CLI, interactive HTML pages, and Gamma PPT for automated presentation workflows.
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Tutorials
Build a Claude Code Agentic OS in 3 St…
·3 min
Build a Claude Code Agentic OS in 3 Steps — Stop Using AI Like a Slot Machine
Learn how to transform Claude Code from a random prompting tool into a systematic Agentic OS through three layers: architecture, Obsidian memory, and an observability dashboard.
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Tutorials
Dify 1.8.0 Hands-On Tutorial: Complete…
·2 min
Dify 1.8.0 Hands-On Tutorial: Complete Guide from Deployment to Building AI Applications
A detailed guide to Dify 1.8.0 Docker deployment, environment setup, and AI app building. Covers five app types, comparisons with Coze, workflow creation, and more for this open-source AI platform.
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Product Reviews
Warp Terminal Deep Dive: A Smart Comma…
·2 min
Warp Terminal Deep Dive: A Smart Command-Line Tool with Built-in AI Agent
Deep dive into Warp intelligent terminal, a high-performance CLI tool built with Rust. Explore Agent Mode for natural language commands, smart debugging, Warp Drive team collaboration, and how it differs from Cursor and other AI coding tools.
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Tutorials·3 min
Building Your AI Second Brain: A Zero-Code Deployment Guide with Local Database + MCP
Learn how to build a personal AI knowledge base with local vector databases, MCP protocol, and Obsidian. Achieve semantic retrieval and auto-ingestion with zero-code deployment in one hour.
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Tutorials·2 min
npcpy: An Open-Source Framework That Rethinks AI Agent Development with Software Engineering Principles
Deep dive into npcpy's four-layer architecture, multi-agent collaboration, knowledge graph lifecycle management, and deployment strategies for building stable, controllable AI Agent systems.
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Product Reviews·3 min
Hermes Agent Desktop App: The Self-Evolving Open-Source AI Agent
Deep dive into Hermes Agent desktop app: closed-loop learning, persistent cross-session memory, multi-agent management, and tool integration. Discover how this open-source AI agent self-evolves to become a true productivity powerhouse.
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Tutorials·3 min
LangChain 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.
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Tutorials
Complete Breakdown of the Free Gemini …
·2 min
Complete Breakdown of the Free Gemini CLI Course: Andrew Ng's Recommended AI Coding Practical Guide
DeepLearning.AI and Google launch a free Gemini CLI course covering installation, MCP server integration, and automated workflows. Learn Agentic Coding best practices through an AI conference planning project.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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