惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - 叶小钗
D
Docker
Google DeepMind News
Google DeepMind News
Y
Y Combinator Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Blog — PlanetScale
Blog — PlanetScale
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
U
Unit 42
博客园 - 【当耐特】
N
Netflix TechBlog - Medium
V
Visual Studio Blog
Microsoft Azure Blog
Microsoft Azure Blog
博客园_首页
Recent Announcements
Recent Announcements
GbyAI
GbyAI
T
Tailwind CSS Blog
S
SegmentFault 最新的问题
WordPress大学
WordPress大学
T
The Blog of Author Tim Ferriss
Engineering at Meta
Engineering at Meta
L
LangChain Blog
A
About on SuperTechFans
M
MIT News - Artificial intelligence
B
Blog

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
My OpenClaw Notes
Marie Otoo · 2026-04-27 · via DEV Community

This is a submission for the OpenClaw Writing Challenge

OpenClaw
OpenClaw is the center stage between messaging apps and Artificial Intelligence (AI) models. It connects them in an application and helps in automation. It is a personalized AI agent tool. Apps that can be consolidated with OpenClaw comprise Discord, Telegram, Slack, and WhatsApp. This DEV challenge lays out a perfect moment for me to figure out OpenClaw usage.

Installation and Setup
Amid the operating systems I chose Linux for this project because of its efficient compatibility with OpenClaw.

To begin, I run node --version to check its availability first before proceeding to run curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash - and sudo apt-get install -y nodejs to install node on Linux. OpenClaw works best with the latest versions of node and this accounts to why node version 22 or higher was used here.

Next, OpenClaw was installed with this command npx openclaw@latest onboard.

The Setup mode was set to QuickStart to configure details later via openclaw configure versus the Manual setup mode, which configures port, network, Tailscale, and auth options.

Later, these models or auth providers were prompted: Alibaba Model Studio(DashScope / Model Studio API key), Anthropic, Arcee AI, BytePlus, Chutes, Cloudflare AI Gateway, Copilot, Custom Provider, DeepSeek, Fireworks, Google, Hugging Face, Kilo Gateway, LiteLLM, LM Studio, Microsoft Foundry, MiniMax, Mistral AI, and MoonShot AI(Kimi K2.6). For this work Anthropic was chosen as it is one of the best supported models for OpenClaw.

At console.anthropic.com a Claude API key was created and used in this work. To reduce API credits burnout a Claude-opus-4-7 was switched for a Claude-haiku-3-5.

Next, Tavily, a search provider which connects AI agents to the web was picked because of its popular combination with OpenClaw and also its free-tier perks. Moreover, Tavily api key was obtained and used.

To fix errors

Comparison: Unique Angle
OpenClaw is fascinating as it not only exhibits chatbot mannerisms but autonomously executes commands and communicates through the aforementioned apps.