MindMap Gallery What exactly is crayfish farming
This is a panoramic infographic—currently sweeping across the web—illustrating the comprehensive applications of OpenClaw, a popular open-source AI agent platform. It systematically introduces this intelligent agent framework—affectionately dubbed "Lobster Farming"—helping readers quickly grasp its core value, technical features, application scenarios, and security protocols. It serves as an excellent introductory guide and practical manual.
Edited at 2026-03-13 09:15:01This is a panoramic infographic—currently sweeping across the web—illustrating the comprehensive applications of OpenClaw, a popular open-source AI agent platform. It systematically introduces this intelligent agent framework—affectionately dubbed "Lobster Farming"—helping readers quickly grasp its core value, technical features, application scenarios, and security protocols. It serves as an excellent introductory guide and practical manual.
這是一張最近風靡全網關於熱門開源AI代理平台OpenClaw的全網應用全景圖解。它系統性地介紹了這款被稱為「養龍蝦」的智慧體框架,幫助讀者快速理解其核心價值、技術特性、應用場景及安全規範,是一份極佳的入門指南與實操手冊。此圖主要針對希望利用AI建構自動化工作流程的技術從業人員、中小企業主及效率追求者,透過9大模組層層遞進,全面剖析了OpenClaw從概念到落地的整個過程。 圖中核心內容首先釐清了「養龍蝦」指涉的是OpenClawd開源智能體,並強調其本質是「AI基建」而非一般聊天機器人。隨後詳細比較其與傳統AI助理的區別,擁有記憶管理、權限控制、會話隔離和異常恢復四大基礎能力,支援跨平台存取和多模型相容(如GPT、Claude、Ollama)。同時,圖解提供了完整的部署方案(雲端/本地/Docker),並列舉了辦公室自動化、內容創作、資料收集等五大應用程式場景。此外,還展示了其火爆程度、政府與大廠佈局、安全部署建議及適合/不適合的人群分類。幫助你快速掌握OpenClaw技術架構與應用價值,指導個人或企業建構AI自動化系統,規避資料外洩與權限失控風險,是學習「執行式AI」轉型的權威參考圖譜。
本圖由萬興腦圖繪製,是針對IT研發崗位的結構化個人履歷模板,完整涵蓋求職核心資訊模組。基本資訊區包含姓名、電話、信箱、求職意願及GitHub連結;專業概要要求以2-3句提煉核心優勢;工作經驗以「公司A高級Java開發工程師」為例,以「透過(行動),達成(量化成果)」格式呈現微服務架構設計、系統效能優化、團隊技術規範制定等職責,公司B經歷則聚焦功能模組開發與Elasticsearch搜尋優化;技能專長分程式語言、後端框架、中介軟體、資料庫、容器雲等維度,清楚展示技術堆疊;專案成果以「電商平台秒殺系統」為例,說明技術棧、架構設計、個人貢獻(Redis Lua庫存原子扣減)及KPI;教育背景包含一流大學電腦專業學歷,以及AWS認證解決方案架構師、軟考中級軟體設計師證書。模板邏輯嚴謹,涵蓋IT研發求職全流程關鍵訊息,幫助求職者清晰、量化展示專業能力。
This is a panoramic infographic—currently sweeping across the web—illustrating the comprehensive applications of OpenClaw, a popular open-source AI agent platform. It systematically introduces this intelligent agent framework—affectionately dubbed "Lobster Farming"—helping readers quickly grasp its core value, technical features, application scenarios, and security protocols. It serves as an excellent introductory guide and practical manual.
這是一張最近風靡全網關於熱門開源AI代理平台OpenClaw的全網應用全景圖解。它系統性地介紹了這款被稱為「養龍蝦」的智慧體框架,幫助讀者快速理解其核心價值、技術特性、應用場景及安全規範,是一份極佳的入門指南與實操手冊。此圖主要針對希望利用AI建構自動化工作流程的技術從業人員、中小企業主及效率追求者,透過9大模組層層遞進,全面剖析了OpenClaw從概念到落地的整個過程。 圖中核心內容首先釐清了「養龍蝦」指涉的是OpenClawd開源智能體,並強調其本質是「AI基建」而非一般聊天機器人。隨後詳細比較其與傳統AI助理的區別,擁有記憶管理、權限控制、會話隔離和異常恢復四大基礎能力,支援跨平台存取和多模型相容(如GPT、Claude、Ollama)。同時,圖解提供了完整的部署方案(雲端/本地/Docker),並列舉了辦公室自動化、內容創作、資料收集等五大應用程式場景。此外,還展示了其火爆程度、政府與大廠佈局、安全部署建議及適合/不適合的人群分類。幫助你快速掌握OpenClaw技術架構與應用價值,指導個人或企業建構AI自動化系統,規避資料外洩與權限失控風險,是學習「執行式AI」轉型的權威參考圖譜。
本圖由萬興腦圖繪製,是針對IT研發崗位的結構化個人履歷模板,完整涵蓋求職核心資訊模組。基本資訊區包含姓名、電話、信箱、求職意願及GitHub連結;專業概要要求以2-3句提煉核心優勢;工作經驗以「公司A高級Java開發工程師」為例,以「透過(行動),達成(量化成果)」格式呈現微服務架構設計、系統效能優化、團隊技術規範制定等職責,公司B經歷則聚焦功能模組開發與Elasticsearch搜尋優化;技能專長分程式語言、後端框架、中介軟體、資料庫、容器雲等維度,清楚展示技術堆疊;專案成果以「電商平台秒殺系統」為例,說明技術棧、架構設計、個人貢獻(Redis Lua庫存原子扣減)及KPI;教育背景包含一流大學電腦專業學歷,以及AWS認證解決方案架構師、軟考中級軟體設計師證書。模板邏輯嚴謹,涵蓋IT研發求職全流程關鍵訊息,幫助求職者清晰、量化展示專業能力。
One picture to understand "raising lobsters"
1、 What is lobster farming?
The recently popular "lobster farming" refers to an open-source intelligent agent called OpenClawd. Due to OpenClad's red lobster icon, users need to "feed" and train it to work for themselves, commonly known as "raising lobsters"“
OpenClaw is an open-source AI intelligent agent framework created by Austrian developer Peter Steinberger at the end of 2025 and renamed in early 2026
2、 What's different about this AI?
🆚 Comparison of Interactive Modes
Traditional AI assistants
You ask me to answer, only text output
open claw
Understand intention → Fold task → Execute hands-on → Automatic reporting
🆚 Comparison of operational abilities
Traditional AI assistants
Only for conversation, unable to control the system
open claw
Operable files, browsers, terminals, software
operation mode
Traditional AI assistants
Conversation system, forget at the end of the conversation
open claw
24/7 backend protection, long-lasting memory
Deploy pipeline
Traditional AI assistants
cloud service
open claw
Local/server private deployment, data cannot be uploaded to the cloud
Expansion capability
Traditional AI assistants
Planting Parts Limited
open claw
Support skill expansion and multi channel access
3、 What special skills do lobsters have?
🔧 Proactive execution ability
Not only can it answer questions, but it can also operate the computer and automatically complete multi-step tasks
🌐 Multi pipeline access
WhatsApp、Telegram、Discord、 Feishu, DingTalk, etc
🧠 Persistent Memory System
AI will remember user preferences and usage habits, and the more it uses, the better it understands the user
🛠️ Skill engine
The skill library supports over 5000 community skill libraries (ClawHub), covering multiple scenarios
🤖 Model support
Compatible model
OpenAI GPT、Anthropic Claude、 Local models (Olama), MiniMax, DeepSeek, etc
4、 How to 'raise lobsters' (Deployment Guide)
💻 Hardware requirements
Minimum Requirements
Memory ≥ 8GB, CPU ≥ 2 cores, storage space ≥ 20GB
Recommended Configuration
Memory of 16GB or more, CPU core of 4 or more
operating system
Windows 10/11、macOS、Linux
⚙️ deployment plan
Cloud one click deployment
Suitable for beginners with zero foundation, requiring paid rental of cloud servers
Local one click installation
Suitable for those with a certain technological foundation, data is fully localized in language
Docker deployment
Suitable for cross platform users, secure isolation, relatively simple configuration
🚀 Quick installation steps (Windows example)
Open PowerShell as an administrator and execute the installation command
After installation, initialize and follow the prompts to select configuration
5、 What can Lobster do for you?
🏢 Office Automation
Automatically organize files, process Excel data, send emails, and generate reports
✍️ content creation
Batch processing of copywriting, video clips, and social media operations
📊 data collection
Automatically monitor product prices, crawl webpage information, and compile reports
👥 personal assistant
Set reminders, manage schedules, and organize meeting minutes
💻 Development assistance
Write code, debug programs, and manage Git repositories
6、 How popular is' raising lobsters'!
📈 GitHub performance
With over 280000 stars, it has become one of the fastest-growing open source projects in GitHub's history
🔗 Formation of industrial chain
Proxy installation service
The fee ranges from 300 to 1000 yuan, and some claim to have earned 260000 yuan in just a few days
Second hand Mac Mini prices
Due to OpenClaw demand skyrocketing from 1700 yuan to 3300 yuan
🏙️ Government policy support
Wuxi High tech Zone
Support up to 5 million yuan, encourage enterprises to develop industrial models using OpenClaw
Longgang District, Shenzhen
Launch "Ten Shrimp" support measures, with a support amount of 2 million yuan
🏢 Layout of large factories
Tencent Cloud
Set up a free installation stall downstairs from Tencent Tower in Shenzhen, with queues winding for hundreds of meters
Baidu Smart Cloud
More than 300 people queued up to receive the event held in Jing'an, Shanghai
Xiaomi
Launching the mobile agent "Xiaomi miclaw"
7、 This way, raising lobsters is safer
🔒 Mandatory Sandboxing
Running pipelines
Be sure to use Docker or virtual machines to run and prevent AI misoperation from damaging the system
🔐 Minimum privilege principle
access restriction
Restricting OpenClaw to access only specific folders, not the entire hard drive
📡 Local priority
Running pipelines
Implementing fully offline operation with local large models to avoid data leakage
💾 Regular backup
data protection
Regularly backup important data to prevent accidental loss
8、 Are you suitable for "raising lobsters"?
👥 Suitable for people who raise lobsters
Developers and Geeks
With a technological background, able to solve deployment problems
Small and medium-sized business owners
Hope to reduce labor costs through automation
content creator
Batch processing of copywriting, video clips, and other tasks is required
researchers
Need for automated data collection and literature organization
Efficiency seekers
I hope to be liberated from tedious work
🚫 Not suitable for people who raise lobsters
Tech novices
Unable to independently solve installation and configuration issues
Enterprises with extremely high requirements for data security
Sensitive industries such as finance and healthcare
Users who expect immediate results
Requires a certain amount of learning and training time
Users with insufficient hardware conditions
Devices with less than 8GB of memory and poor CPU performance
9、 The status of "lobster" in the martial arts world
OpenClaw represents a significant shift from "conversational AI" to "executive AI"
With the continuous improvement of the ecology, "lobster farming" is moving from the technology circle to the public, becoming a new tool for improving personal and business efficiency
The core risks of raising lobsters
Excessive system permissions → Data leakage The hidden dangers of privacy and cost control
Potential benefits of raising lobsters
Low threshold+automatic execution of complex tasks+significant efficiency improvement
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————此“龙虾“非彼”龙虾“