Agentic AI Agentic Tools Agent Development Microsoft: 10 Lessons teaching everything you need to know to start building AI Agents Kaggle: 5-Day AI Agents Intensive Course with Google | Kaggle Google: Agent Development Kit Top AI Agents Platforms No code 與 Low code AI 應用開發平台 Self-Hosted n8n CrewAI Dify LangFlow - 例如基於 RAG 的 AI 整合應用 Cloud-Based Coze Zapier Make n8n https://n8n.io/ Doc: https://docs.n8n.io/hosting/   Automate Your Home Lab with n8n Workflow Automation and AI - Virtualization Howto 【n8n 中文教學】新手入門：介面功能說明、Webhook 和自動化工作流應用 「超詳細教學」n8n AI 實作0基礎入門到進階 — (AI Agent | LLM | RAG | Webhook| AI 自動生成研究報告) - YouTube Community Nodes Install and manage community nodes | n8n Docs PDF to Image n8n-nodes-pdf2image n8n-nodes-pdfconvert n8n Installation On a laptop (small level) YOUR_TIMEZONE: Asia/Taipei or America/Chicago  or America/New_York   docker volume create n8n_data docker run -it --rm \ --name n8n \ -p 5678:5678 \ -e GENERIC_TIMEZONE="" \ -e TZ="" \ -e N8N_ENFORCE_SETTINGS_FILE_PERMISSIONS=true \ -e N8N_RUNNERS_ENABLED=true \ -v n8n_data:/home/node/.n8n \ docker.n8n.io/n8nio/n8n Quick Start Examples Basic Data Access {{ $json.fieldName }} // Get field from current item {{ $('Node Name').item.json.field }} // Data from specific node {{ $json.items?.[0] }} // Safe array access Date Functions {{ $now.format('YYYY-MM-DD') }} // 2024-01-15 {{ $now.plus({days: 7}) }} // 7 days from now {{ $now.diff('2024-01-01', 'days') }} // Days between dates String Manipulation {{ $json.name.toLowerCase() }} // convert to lowercase {{ $json.email.split('@')[0] }} // Username from email {{ $json.text.slice(0, 50) }} // First 50 characters Array Processing {{ $json.items.length }} // Count array items {{ $json.items.filter(item => item.active) }} // Filter items {{ $json.items.map(item => item.name) }} // Extract field from all items 跨 Nodes 傳 binary 內容 Analyze any Video, Image or PDF with Gemini and n8n (Step-by-Step) - YouTube (Gemini API - Http Request) 新增 Code node return{ json: {}, binary: $('On Form submission').item.binary } Gmail Trigger I Made an Email Auto-Responder to Conquer my Writer’s Block | by Nicolas CHOURROUT | Medium MCP Building AI Agents with Google ADK, FastAPI, and MCP - DEV Community Awesome MCP Servers No Code Tools Airtable - 雲端資料庫 【中文介紹】什麼是 Airtable？最強大的雲端資料庫教學和應用範例 CodeGraph - 將本地程式專案轉成 AI 看得懂的知識圖譜 GitNexus - 將 GitHub 專案轉成知識圖譜 Tool Calling Mastering LLM Tool Calling: The Complete Framework for Connecting Models to the Real World - MachineLearningMastery.com Alternatives to OpenClaw Hermes Agent The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions.  https://github.com/nousresearch/hermes-agent   DeerFlow DeerFlow (Deep Exploration and Efficient Research Flow) is an open-source super agent harness that orchestrates sub-agents, memory, and sandboxes to do almost anything — powered by extensible skills. https://github.com/bytedance/deer-flow   OpenClaw Introduction OpenClaw 是一款開源的個人 AI 數位助理，讓你在各種通訊平台上擁有專屬的智慧管家。無論是自動回覆訊息、整理資訊、串接工作流程，OpenClaw 都能幫你搞定。 中文手冊： OpenClaw：在 WhatsApp 與 Telegram 輕鬆使用你的 AI Agent | OpenClaw 李宏毅:  解剖小龍蝦 — 以 OpenClaw 為例介紹 AI Agent 的運作原理 - YouTube 為什麼我拖了一個多月才開始使用OpenClaw？ （附接入飛書完整詳細教程，新手必看） OpenClaw 教學：26 個 Tools + 53 個 Skills 完整指南 | WenHao Yu OpenClaw：在 WhatsApp 與 Telegram 輕鬆使用你的 AI Agent | OpenClaw OpenClaw 中文教程 - 个人 AI 智能体开发一站式社区 OpenClaw 新手必备！安装实用Skills，模型选择，浏览器自动化等！ – 零度博客 Resources Awesome OpenClaw Agents ClawHub OpenClaw CLI 建議模型列表 各種專家級 AI 助理 193 個即插即用的 AI 專家角色 Installation 【保姆级】OpenClaw 全网最细教学：安装→Skills实战→多Agent协作，1 小时全精通！ | 小林的博客-AI学长 YT: 【保姆级】OpenClaw 全网最细教学：安装→Skills实战→多Agent协作，1 小时全精通！ - YouTube With Docker OpenClaw Docker 部署完全指南：从零搭建你的私有 AI Agent Self-hosting OpenClaw with Docker and Tailscale on a $5 VPS Docker 部署 OpenClaw：从踩坑到跑通的完整记录 | Yuxu Ge git clone https://github.com/openclaw/openclaw cd openclaw export OPENCLAW_IMAGE="ghcr.io/openclaw/openclaw:latest" ./scripts/docker/setup.sh Debian 13 Run as root # Install Node.js # Run as root curl -fsSL https://deb.nodesource.com/setup_24.x | bash - apt install nodejs Run as non-root # Switch to non-root account # NOTE: Node.js 22.14 or newer is required for openclaw su - node -v npm --version mkdir -p "$HOME/.npm-global" npm config set prefix "$HOME/.npm-global" npm prefix -g export PATH="$HOME/.npm-global/bin:$PATH" Edit: ~/.bashrc export PATH="$HOME/.npm-global/bin:$PATH" Install openclaw npm install -g openclaw@latest openclaw onboard --install-daemon Post-Install 訂製 AI 助理 使用 3 個檔案量身訂製助理 SOUL.md — 身份、記憶、溝通風格、關鍵規則 AGENTS.md — 核心使命、技術交付物、工作流程 IDENTITY.md — 名稱與簡介 Timezone openclaw config set agents.defaults.userTimezone "Asia/Taipei" CLI Commands Check Service docker compose run --rm openclaw-cli status docker compose run --rm openclaw-cli gateway status Pairing required Approve the device docker compose run --rm openclaw-cli devices list docker compose run --rm openclaw-cli devices approve Model Configuration # 主要模型設置 openclaw models list openclaw models status openclaw models set openclaw models set-image # 備用模型設置 openclaw models fallbacks list openclaw models fallbacks add openclaw models fallbacks remove openclaw models fallbacks clear Telegram Configuration Create a Bot from Telegram Open Telegram Chat with @BotFather   Run /newbot , follow prompts to create your bot, and save the token. Bot Name: Bot Username:   Go to OpenClaw CLI docker compose run --rm openclaw-cli channels add --channel telegram --token "" Go to Telegram Open you-bot Send "Hi" Getting a pairing code "XXXXX" Go to OpenClaw CLI docker compose run --rm openclaw-cli pairing list telegram docker compose run --rm openclaw-cli pairing approve telegram XXXXX Done Bot Commands /btw : 題外話，在不打斷目前對話（主任務），可以臨時問一個小問題，其內容不會進入主對話的上下文。 /subagent : 子代理，在不打斷目前對話（主任務），呼叫另一個代理執行其他任務，其任務結果會納入主任務的上下文。 /new : 新對話，建立新的對話（任務），全新的上下文，可節省 Token 用量。 Gateway Local only (default) 遠端存取可以使用 SSH Port Forwarding ~/.openclaw/openclaw.json : "gateway": { "port": 18789, "mode": "local", "bind": "loopback", "controlUi": { "allowedOrigins": [ "http://localhost:18789", "http://127.0.0.1:18789" ] }, "auth": { "mode": "token", "token": "YOUR-OPENCLAW-TOKEN" }, Tailscale openclaw.json 的 tailscale 功能不適用在 Docker 環境。 Tailscale Console: Enable HTTPS Certicficates OpenClaw Host: Run sudo tailscale serve --bg --https=443 127.0.0.1:18789   tailscale serve status   Change ~/.openclaw/openclaw.json as follows Connect to tailnet, and then visit https://your-openclaw-device.tailnet-domain/?token=YOUR-TOKEN ,  such as https://dockers-vm.tailcb58c9.ts.net/ ?token=YOUR-TOKEN ~/.openclaw/openclaw.json : mode: local bind: loopback trustedProxies: ["127.0.0.1", "::1"] allowedOrigins: https://yourdevice.tailnet-domain "gateway": { "port": 18789, "mode": "local", "bind": "loopback", "trustedProxies": ["127.0.0.1", "::1"], "controlUi": { "allowedOrigins": [ "http://localhost:18789", "http://127.0.0.1:18789", "https://yourdevice.tailnet-domain" ] }, "auth": { "mode": "token", "token": "YOUR-OPENCLAW-TOKEN" }, openclaw.json 的 tailscale 模式比較（不適用在 Docker 環境） 模式 存取範圍 HTTPS 認證 適用場景 serve 限 tailnet 自動 Tailscale identity headers/Token/Password 個人使用 funnel 公眾網路 自動 Password Webhook bind: "tailnet" 限 tailnet 無 Token/Password 低延遲 off 限 localhost 無 Token SSH Port Forward Skill 3rd Party Architecture Diagram Generator : 繪製架構圖並輸出 HTML 格式。 Khazix Skills : 橫縱分析法深度研究。 FAQ Context limit exceeded Context limit exceeded. I've reset our conversation to start fresh - please try again. To prevent this, increase your compaction buffer by setting agents.defaults.compaction.reserveTokensFloor to 20000 or higher in your config. Cause: 目前使用模型的 Context Window 與 壓縮緩衝參數不匹配。 Solution: 以 Gemma4-31B-it 為例 Edit: ~/.openclaw/openclaw.json contextWindow : 128000 reserveTokensFloor : 40000 "models": { "mode": "merge", "providers": { "custom-cpamc": { "baseUrl": "http://192.168.31.89:8317/v1", "api": "openai-completions", "apiKey": "sk-cvgaT1Z3EhJRBB5pu", "models": [ { "id": "gemma-4-31b-it", "name": "gemma-4-31b-it (Custom Provider)", "contextWindow": 128000, "maxTokens": 4096, "input": [ "text" ], "agents": { "defaults": { "workspace": "/home/alang/.openclaw/workspace", "model": { "primary": "custom-cpamc/gemma-4-31b-it" }, "models": { "custom-cpamc/gemma-4-31b-it": {} }, "compaction": { "reserveTokensFloor": 40000 } } }, 或者使用 CLI openclaw config set agents.defaults.compaction.reserveTokensFloor 40000 LLM idle timeout The model did not produce a response before the LLM idle timeout. Please try again, or increase agents.defaults.llm.idleTimeoutSeconds in your config (set to 0 to disable). Solution: openclaw config set agents.defaults.timeoutSeconds 600 openclaw config set agents.defaults.llm.idleTimeoutSeconds 600 gateway connect failed gateway connect failed: GatewayClientRequestError: pairing required 檢查有無 pending devices openclaw devices list openclaw devices list --json Hermes Agent 由 Nous Research 打造的自我進化 AI Agent。唯一內建學習循環的 Agent — 它能從經驗中建立技能，在使用過程中不斷優化，主動提醒自己持久化知識，並在多次會話中逐步加深對你的理解。 Hermes Agent — The Agent That Grows With You | Nous Research https://github.com/nousresearch/hermes-agent   Tutorials Hermes Agent 文档 | Hermes Agent 中文文档 Hermes Agent 部署 UI + 本地模型 Gemma 4，对接微信（完全免费，无需 Tokens） - 零度博客 Resources Skills Hub | Hermes Agent Awesome Hermes Agent Hermes Atlas - 各種工具、技能、外掛及整合項目 Hermes HUD - 非官方 Hermes Dashboard 8萬顆星的Hermes Agent少了它根本不能用！3分鐘打造AI中控台 - YouTube Installation Debian/Ubuntu # Install curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash # Configure hermes setup Post-Install 訂製 AI 助理 ~/.hermes/SOUL.md   ~/.hermes/memories/USER.md   Web UI Hermes-WebUI https://github.com/nesquena/hermes-webui   git clone https://github.com/nesquena/hermes-webui.git cd hermes-webui ./start.sh hermes-web-ui https://github.com/EKKOLearnAI/hermes-web-ui   Agent Skills Resources skills.sh   Skill 手册 | 01MVP Docs | 01MVP Starter Kit antigravity-awesome-skills Asgard Skills - 開源的 293 個 coding agent skills 知識庫，分成 22 個主題類別。每個 skill 都是獨立的 Markdown 檔案（SKILL.md），遵循 Claude Agent Skills 規範，部分附帶純 Python 腳本做確定性計算。 語音生成 edge-tts 影片生成 hyperframe 網頁搜尋 tavily-search brave-search (badlogic) PDF pdf (openai) LiteParse - A fast, helpful, and open-source document parser pdftk-server - 合併、分割、加密等各種 PDF 進階操作 Web Scraper - Crawlee A web scraping and browser automation library.  crawlee for Python GitHub: https://github.com/apify/crawlee-python   crawlee for Node.js GitHub: https://github.com/apify/crawlee   - ScrapeGraphAI ScrapeGraphAI is a open-source web scraping python library designed to usher in a new era of scraping tools. Indices and tables — ScrapeGraphAI documentation GitHub: https://github.com/ScrapeGraphAI/Scrapegraph-ai Video: Scrape Any Website using llama3+Ollama+ScrapeGraphAI | Fully Local + Free #ai #llm - YouTube - Crew AI Crew AI  is a collaborative working system designed to enable various artificial intelligence agents to work together as a team, efficiently accomplishing complex tasks. Each agent has a specific role, resembling a team composed of researchers, writers, and planners. GitHub:  https://github.com/joaomdmoura/crewAI 範例：使 AI 自動爬文並生成筆記 Video:  如何搭建一套Agent系统 GitHub:  Python 程式碼 Crew AI — your own minions. How I Made AI Assistants Do My Work For… | by Csakash | Medium - Scraperr Self-hosted webscraper. Welcome to the Scraperr Docs | Scraperr Docs GitHub: https://github.com/jaypyles/Scraperr   - Crawl4AI Open-source LLM Friendly Web Crawler & Scraper. GitHub: https://github.com/unclecode/crawl4ai   - Scrapling Effortless Web Scraping for the Modern Web https://github.com/D4Vinci/Scrapling   当下最强免费爬虫工具！Scrapling保姆级教程（2026最新爬虫神器） - YouTube - Obscura The open-source headless browser for AI agents and web scraping. https://github.com/h4ckf0r0day/obscura   Pi Agent Pi 是一款極簡的終端編碼工具。讓 Pi 適應您的工作流程，而非讓您去適應它。 官網： Pi Coding Agent Tutorials Pi Agent：比Claude Code和Codex更适合普通人的AI工具 - YouTube Setting Up and Using the Pi Coding Agent | DeepakNess