开源AI代理实战：OpenClaw从零搭建自主智能助手

本课程提供OpenClaw开源AI助手平台的完整实战教程，涵盖从VPS部署、Telegram集成、技能安装、记忆管理到成本优化的全流程。学员将学习如何创建具备自主研究、邮件摘要、工作流自动化等功能的AI代理，掌握模型选择规则、子代理调度、日志备份等高级运维技巧，最终摆脱对封闭平台的依赖，构建完全自主可控的智能助手系统。

MP4 | 视频：h264，1280×720 | 音频：AAC，44.1 kHz |
语言：英语 | 文件大小：4.26 GB | 时长：7 小时 53 分钟

Openclaw Course: Moltbot Openclaw Tutorial For Ai Agents

OpenClaw Tutorial for AI Assistant: Setup OpenClaw, connect skills, add memory, and launch powerful AI agents.

Artificial intelligence assistants are rapidly becoming one of the most useful tools for developers, founders, and businesses. But most people rely on closed platforms where they have little control over data, customization, or cost.That is where OpenClaw changes the game.OpenClaw is a powerful open-source AI assistant platform that allows you to create your own intelligent agents, connect tools, add memory, automate tasks, and run everything on your own infrastructure.In this OpenClaw course, you will learn exactly how to install, configure, and use OpenClaw to create real AI assistants from scratch.Instead of just explaining theory, this course walks you step-by-step through the entire process of setting up OpenClaw on a server, connecting tools like Telegram, adding skills, managing memory, reducing AI costs, and finally creating useful AI agents.By the end of this course, you will be able to deploy your own AI assistant that can research information, summarize emails, automate workflows, and perform tasks autonomously.This OpenClaw tutorial is designed to take you from beginner to confident user in a structured way.You will start by understanding the basics of LLMs and AI agents so you know how modern assistants actually work.Then you will install OpenClaw on a VPS and learn how the OpenClaw system is structured. After that, you will explore the OpenClaw interface, start your first conversation with the assistant, and configure the environment correctly.From there, the course moves into powerful features such as:connecting Telegram to interact with your assistantinstalling skills from the OpenClaw ecosystemadding memory capabilities so the assistant remembers informationadding search functionalityusing APIs like Perplexity for enhanced responsesconfiguring workspace settings for agents, users, and memorysetting up scheduled jobs using cron tasksenabling voice modecreating sub-agents to perform tasks fastermanaging logs, updates, and backupsOne of the most important lessons in the course focuses on reducing AI costs. You will learn how to configure model selection and apply cost control rules so your AI assistants remain affordable while still performing well.Finally, you will create your first real AI agents including a Research Assistant and an Email Summarizer that demonstrate how OpenClaw can be used for real productivity tasks.Most tutorials online only show small pieces of the puzzle. This course brings everything together so you understand how the whole system works.If you skip learning OpenClaw now, you risk falling behind as open-source AI agents quickly become a core tool for developers, startups, and automation professionals.The advantage of learning OpenClaw today is that you gain control over your own AI assistants instead of depending entirely on third-party tools.This course gives you practical skills that you can immediately apply to:create custom AI assistantsautomate tasksexperiment with agent workflowsreduce AI usage costshost your own AI systemsWhether you want to experiment with AI agents, create automation tools, or simply understand how modern AI assistants operate behind the scenes, this course will give you the clarity and practical knowledge you need.By the end, you will not only understand OpenClaw — you will be confidently running your own AI assistant system.

Developers interested in open-source AI assistants,AI enthusiasts who want to run their own assistant system,Automation builders who want to experiment with AI agents,Startup founders exploring AI tools,Anyone curious about how AI assistants actually work behind the scenes,People who want to reduce reliance on closed AI platforms

What you’ll learn
Understand how LLMs and AI agents work
Learn what OpenClaw is and why it is useful
Install OpenClaw on a VPS step by step
Navigate the OpenClaw interface and workspace
Start and manage conversations with AI agents
Secure the OpenClaw gateway and configure prompts
Connect Telegram with OpenClaw
Understand skills and how to install them using ClawHub
Add memory capabilities to AI assistants
Add search functionality to improve responses
Connect external APIs such as Perplexity
Reduce AI costs using memory and model selection rules
Use OpenClaw built-in capabilities like Google Workspace integration
Manage workspace elements like agents, users, and memory
Schedule automated tasks using cron jobs
Enable voice mode capability
Use sub-agents to complete tasks faster
Monitor logs and update the OpenClaw system
Set up backups and recovery
Create real AI assistants such as a research assistant and email summarizer and more

Requirements
Basic understanding of computers and web browsers
Internet connection
Basic familiarity with AI tools or chat assistants is helpful but not required
Willingness to experiment and test AI assistants
No prior experience with OpenClaw is required.