OpenClaw: Your Personal AI Assistant That Actually Does Things — Complete Getting Started Guide 2026

Introduction

Most AI assistants live in a chat box. You ask, they answer, and that's it. You still have to copy the code, open the file, paste it in, run the command yourself.

OpenClaw is different. It's an AI assistant that runs on your own computer — your Mac, Windows PC, or Linux machine — and connects to the messaging apps you already use every day. WhatsApp, Telegram, Discord, Slack, even iMessage.

But here's what makes it powerful: OpenClaw doesn't just chat. It does things. It can read and write files on your computer. Run shell commands. Control your browser. Manage your calendar. Pull data from APIs. Build code. Deploy apps. And it remembers everything across conversations, learning your preferences over time.

Since launching in late 2025, OpenClaw has exploded in popularity — 60,000+ GitHub stars in 72 hours, developers calling it "the closest thing to JARVIS we've seen," and real-world testimonials of people automating entire workflows from their phones.

If you've been hearing the buzz but haven't tried it yet, this guide is your complete getting-started roadmap. We'll cover what OpenClaw is, how it works, how to install it safely, real use cases, comparisons with alternatives, and how to integrate it into your development workflow — all without assuming you're a command-line expert.

01 — What Is OpenClaw? (And Why Developers Are Obsessed)

OpenClaw is an open-source, personal AI assistant framework that runs locally on your machine and connects to AI models (Claude, GPT, DeepSeek, or local models) to execute tasks autonomously.

Unlike traditional chatbots that only respond to questions, OpenClaw is designed as a personal AI assistant that runs on your own devices and connects to various messaging platforms, capable of executing tasks and automating workflows.

The Core Concept: AI That Lives on Your Machine

Think of OpenClaw as hiring a digital assistant who:

• Lives on your computer — not in someone else's cloud

• Works 24/7 — runs in the background even when you're not actively chatting

• Talks to you on any platform — WhatsApp, Telegram, Slack, Discord, wherever you are

• Has full access (if you allow it) — can read files, write code, run commands, browse the web

• Remembers everything — persistent memory across conversations

• Gets smarter over time — learns your preferences and adapts

What Makes OpenClaw Different from ChatGPT or Claude?

Traditional AI Chat (ChatGPT, Claude):

• Lives in a web browser or app

• You ask, it answers

• No memory between sessions (unless cloud-saved)

• Can't access your local files or run commands

• Limited to text responses

OpenClaw:

• Runs on your machine

• Can execute tasks autonomously

• Persistent 24/7 memory

• Full filesystem and command-line access

• Integrates with 50+ services and tools

• Can be messaged from anywhere (phone, tablet, laptop)

As one developer put it: "Autonomous Claude Code loops from my phone. 'fix tests' via Telegram. Runs the loop, sends progress every 5 iterations."

02 — How OpenClaw Works: Architecture Explained Simply

OpenClaw has a modular architecture designed around a central "Gateway" that coordinates everything.

The Three Core Components

1. The Gateway (Control Plane) The Gateway is the brain of OpenClaw. It runs as a background service on your computer and manages:

• Connections to messaging platforms (WhatsApp, Telegram, etc.)

• Communication with AI models (Claude, GPT, local models)

• Access to your local filesystem and tools

• Memory and conversation state

• Security and permissions

The Gateway operates on a WebSocket network at ws://127.0.0.1:18789, serving as the control plane for clients, tools, and events.

2. Channels (How You Talk to It) Channels are the interfaces you use to communicate with your OpenClaw assistant. OpenClaw supports 25+ messaging platforms including WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, iMessage, BlueBubbles, IRC, Microsoft Teams, Matrix, Feishu, LINE, Mattermost, and more.

You can message your assistant from:

• Your phone (via WhatsApp, Telegram, etc.)

• Your desktop (Slack, Discord)

• A web interface (browser-based chat)

• Even voice (on macOS/iOS/Android)

3. Skills (What It Can Do) Skills are plugins that extend OpenClaw's capabilities. Think of them as superpowers you can give your assistant. There are over 100 preconfigured skills available, allowing the AI to execute shell commands, manage file systems, perform web automation, and integrate with 50+ third-party services.

Out-of-the-box skills include:

• Filesystem access — Read, write, edit files

• Shell execution — Run bash, PowerShell, or terminal commands

• Browser control — Navigate websites, fill forms, scrape data

• GitHub integration — Manage repos, review PRs, commit code

• Calendar & productivity — Apple Notes, Notion, Obsidian, Trello, Things 3

• Smart home — Control IoT devices

• Music & media — Spotify, Apple Music integration

• Custom skills — Build your own or use community-created ones

The Workflow: How a Command Actually Executes

1. You message your assistant — "Fix the failing tests in my React app"

2. Gateway receives the message — Authenticates you, loads conversation context

3. AI model processes it — Claude/GPT understands the intent

4. Skills are invoked — Filesystem skill reads the test files, shell skill runs npm test

5. Results are analyzed — AI identifies the failing test, generates a fix

6. Actions are executed — Filesystem skill writes the fix to the file

7. You're notified — "Fixed 3 failing tests in UserAuth.test.js. All tests now passing."

All of this happens autonomously while you're getting coffee.

03 — Installing OpenClaw: Step-by-Step Setup Guide

OpenClaw installation has been significantly streamlined. You don't need to be a command-line wizard to get started.

Prerequisites

Before you begin, make sure you have:

• A computer — Mac, Windows, or Linux

• Node.js 22 or newer — The OpenClaw installer can handle this for you

• An AI model API key — Claude (Anthropic), GPT (OpenAI), or a local model like Ollama

• A messaging app — WhatsApp, Telegram, Discord, etc.

Installation Methods

Option 1: One-Line Installer (Recommended for Beginners)

The easiest way to install OpenClaw is using the official installer script:

On macOS/Linux:

bash

curl -fsSL https://get.openclaw.ai | bash

On Windows (PowerShell):

powershell

irm get.openclaw.ai/windows | iex

The installer automatically installs Node.js, Python, and the OpenClaw CLI for you.

Option 2: Manual Installation via npm

If you already have Node.js installed:

bash

npm install -g openclaw@latest
# or with pnpm:
pnpm add -g openclaw@latest

Then run the onboarding wizard:

bash

openclaw onboard --install-daemon

The wizard installs the Gateway daemon as a launchd/systemd user service so it stays running in the background.

Configuration Wizard: First-Time Setup

After installation, the configuration wizard will guide you through:

Step 1: Choose Your AI Model

• Anthropic Claude (recommended) — Most capable for coding tasks

• OpenAI GPT — Good general-purpose option

• Local models (Ollama) — Fully private, no API costs

You'll need an API key from your chosen provider. If you don't have one:

• Anthropic: https://console.anthropic.com/

• OpenAI: https://platform.openai.com/

Step 2: Configure Your First Channel Select which messaging platform you want to use to talk to your assistant:

• Telegram (easiest to set up) — Create a bot via BotFather

• WhatsApp (most popular) — Requires phone pairing

• Discord — Create a bot application

• Slack — Set up a workspace app

• Web UI — Browser-based interface (no external app needed)

For Web UI, you can access it by opening the Web UI (with token) link shown in the terminal.

Step 3: Select Skills The wizard will ask which skills to enable. For beginners, start with:

• ✅ Filesystem (read/write files)

• ✅ Shell (run commands) — with sandboxed mode for safety

• ✅ Browser (web automation)

• ✅ GitHub (if you're a developer)

You can always add more skills later.

Step 4: Set Memory Preferences Choose how OpenClaw stores conversation history:

• Local only (most private)

• Local + cloud sync (access from multiple devices)

Step 5: Launch the Gateway The wizard will start the Gateway daemon and provide you with:

• A Web UI link

• A QR code to connect from your phone

• Instructions to message your assistant

Verifying Installation

Run these commands to check everything is working:

bash

openclaw status        # Check if Gateway is running
openclaw doctor        # Diagnose config issues
openclaw dashboard     # Open browser UI

If the Gateway is running properly, you should see:

✓ Gateway running on ws://127.0.0.1:18789
✓ Telegram bot connected
✓ Claude API configured

04 — Your First Conversation: Getting Started with OpenClaw

Now that OpenClaw is installed, let's have your first conversation.

Starting the Conversation

Open your chosen messaging app (e.g., Telegram) and find your OpenClaw bot. Send a simple message:

Hi! What can you do?

Your assistant will introduce itself and explain its capabilities based on which skills you've enabled.

Basic Commands to Try

Here are some beginner-friendly commands to test OpenClaw's capabilities:

1. File Operations

Can you list the files in my Documents folder?

Create a file called test.txt with "Hello World" in my Downloads folder

2. System Information

What's my current working directory?

Show me my computer's disk space usage

3. Web Automation

Go to weather.com and tell me today's forecast for Lagos

Search GitHub for "openclaw" and tell me how many stars it has

4. Productivity Tasks

Remind me to call the client at 3pm tomorrow

Create a to-do list with: buy groceries, finish report, schedule meeting

Understanding Permissions and Safety

By default, OpenClaw will ask for your approval before executing potentially sensitive actions:

You: Delete all .log files in my project folder
OpenClaw: ⚠️ This will delete multiple files. Approve? (yes/no)
You: yes
OpenClaw: ✓ Deleted 12 .log files

You can adjust permission levels:

• Sandboxed mode — Limited access, requires approval for everything

• Trusted mode — Can read files freely, asks before writes/deletes

• Full access — Autonomous execution (use with caution)

05 — Real-World Use Cases: What People Are Actually Building

OpenClaw's flexibility has led to creative, productivity-boosting automations across industries. Here are real examples from the community.

For Developers: Autonomous Code Management

"Autonomous Claude Code loops from my phone. 'fix tests' via Telegram. Runs the loop, sends progress every 5 iterations."

Common developer workflows:

• PR Reviews — A developer pushes a PR, and their OpenClaw agent reads the diff and sends a review summary to Telegram or Slack within minutes, catching obvious issues like missing error handling or unused imports

• Bug Fixing — Message "fix the failing tests" and OpenClaw runs the test suite, identifies failures, generates fixes, and creates a PR

• Deployment automation — "Just ran 'openclaw deploy' and watched it set up my entire k8s cluster, configure ingress, and deploy 12 microservices. What used to take me a week now takes 10 minutes."

• Codebase refactoring — "OpenClaw just refactored my entire React codebase to TypeScript, added proper error boundaries, and even wrote the unit tests. I'm genuinely speechless."

For Business Owners: Workflow Automation

• Email triage — Automatically categorize and prioritize inbox, draft responses

• Calendar management — Schedule meetings, send reminders, block focus time

• Data extraction — Scrape competitor pricing, monitor news, compile reports

• Customer support — Route tickets, draft responses, escalate urgent issues

"My @openclaw accidentally started a fight with Lemonade Insurance because of a wrong interpretation of my response. After this email, they started to reinvestigate the case instead of instantly rejecting it. Thanks, AI."

For Personal Productivity

• Smart home control — "Just told Ema, my @openclaw, via Telegram to turn off the PC (and herself, as she was running on it) Executed perfectly."

• Health tracking — "I just finished setting up @openclaw on my Raspberry Pi with Cloudflare, and it feels magical ✨ Built a website from my phone in minutes and connected WHOOP to quickly check my metrics and daily habits"

• Learning assistant — "Wanted a way for it to have access to my courses/assignments at uni. Asked it to build a skill - it did and started using it on its own."

For Content Creators

• Research automation — Compile sources, summarize articles, generate outlines

• Social media management — Schedule posts, analyze engagement, draft captions

• Video editing — Transcribe videos, extract clips, generate thumbnails

• SEO analysis — Analyze competitors, suggest keywords, optimize content

06 — OpenClaw vs Alternatives: How Does It Compare?

The AI assistant landscape is crowded. How does OpenClaw stack up against the competition?

OpenClaw vs ChatGPT / Claude (Standard Chat)

Verdict: If you just need answers, ChatGPT/Claude is simpler. If you want an assistant that does things, OpenClaw wins.

OpenClaw vs Cursor / GitHub Copilot

Verdict: Cursor/Copilot are better for in-IDE coding assistance. OpenClaw is better for broader automation and remote control.

OpenClaw vs MCP (Model Context Protocol) Servers

OpenClaw supports the Model Context Protocol (MCP) for sub-agent orchestration and context recovery.

MCP is a protocol, not a standalone product. It's a way for AI systems to access tools and data. OpenClaw uses MCP under the hood for advanced workflows, but also offers:

• A complete user interface (messaging apps)

• Built-in skills and integrations

• Gateway orchestration layer

• 24/7 daemon operation

Verdict: MCP is a building block; OpenClaw is a complete system. They're complementary, not competitive.

OpenClaw vs n8n / Zapier

Verdict: n8n/Zapier are great for pre-defined workflows. OpenClaw is better for ad-hoc tasks and conversational automation.

07 — Integrating OpenClaw Into Your Development Workflow

For developers, OpenClaw can become an always-on teammate that integrates deeply with your toolchain.

GitHub Integration: Automated Code Review

Through the gh CLI, OpenClaw agents can fetch PR diffs, analyze changes across multiple files, and generate review summaries that highlight potential issues, breaking changes, and areas that need attention.

Setup:

1. Install GitHub CLI: brew install gh (macOS) or download from github.com/cli/cli

2. Authenticate: gh auth login

3. Enable the GitHub skill in OpenClaw

4. Configure notifications in your repo settings

Usage:

You: Review PR #42 in my-app repo
OpenClaw: Analyzing PR #42: "Add user authentication"...
         ✓ 15 files changed
         ⚠️ Potential issue in auth.js line 42: missing error handling
         ⚠️ Breaking change: User schema modified
         ✓ Tests added
         Overall: Looks good with minor fixes needed

Linear / Jira Integration: Project Management

Connect OpenClaw to your project management tools for automated ticket creation and updates.

Workflow example: Developer asks the agent to review a PR, create a Linear ticket for a bug found during review, and update the Notion runbook — all through natural conversation

You: The payment API is timing out in production. Create a P0 ticket and notify the team
OpenClaw: ✓ Created Linear ticket INFRA-847: "Payment API timeout in production"
         ✓ Priority: P0, assigned to on-call engineer
         ✓ Posted alert in #incidents Slack channel

Model Context Protocol (MCP): Advanced Orchestration

OpenClaw supports MCP for sub-agent orchestration, allowing you to chain agents together for complex workflows — one agent analyzes code, another writes tests, a third creates the PR.

Use case: Multi-agent code pipeline

1. Analysis agent — Scans codebase for bugs

2. Fix agent — Generates patches

3. Test agent — Writes and runs unit tests

4. PR agent — Creates pull request with summary

All coordinated by OpenClaw, triggered by a single message: "Find and fix all type errors in the codebase"

Cron Jobs & Scheduled Tasks

Set up recurring automations that run even when you're not online:

You: Every Monday at 9am, summarize last week's GitHub activity and send it to me
OpenClaw: ✓ Scheduled weekly summary. First run: Monday, 9:00 AM

As one developer noted: "Proactive AF: cron jobs, reminders, background tasks."

Webhook Triggers: Event-Driven Automation

Connect external systems to OpenClaw via webhooks:

Example: Automated incident response

• Sentry detects an error → Webhook to OpenClaw

• OpenClaw analyzes stack trace, searches codebase for the bug

• Generates a fix, runs tests, creates PR

• Notifies on-call engineer via Telegram

08 — Security & Privacy: What You Need to Know

OpenClaw's power comes with responsibility. OpenClaw's design has drawn scrutiny from cybersecurity researchers due to the broad permissions it requires to function effectively.

The Security Model

What OpenClaw Can Access (If You Allow It):

• Your local filesystem (read, write, delete files)

• Shell command execution

• Browser control (navigate, fill forms, extract data)

• API keys and credentials stored on your machine

• Connected services (GitHub, calendar, email, etc.)

One of OpenClaw's own maintainers warned on Discord that "if you can't understand how to run a command line, this is far too dangerous of a project for you to use safely."

Best Practices for Safe Usage

1. Start in Sandboxed Mode Give OpenClaw limited permissions initially. Require approval for every action until you're comfortable.

bash

openclaw config --mode sandboxed

2. Use Separate User Accounts Run OpenClaw under a dedicated user account with restricted permissions, not your admin account.

3. Review Skills Before Installing Cisco's AI security research team tested a third-party OpenClaw skill and found it performed data exfiltration and prompt injection without user awareness. Only install skills from trusted sources.

4. Monitor Logs OpenClaw logs all actions. Review them periodically:

bash

openclaw logs --tail 100

5. Keep API Keys Secure Store API keys in environment variables or secure vaults, not in plaintext config files.

6. Use Local Models When Possible For maximum privacy, run OpenClaw with local models (Ollama) instead of cloud APIs. OpenClaw can be configured with local models using memorySearch.provider set to 'local' for zero cloud dependencies.

Privacy Considerations

OpenClaw is designed for privacy — it runs entirely on your own machine or server, not on third-party infrastructure. Your data stays local, and you control what information is shared with AI model providers.

What stays local:

• Conversation history

• File contents

• Command execution logs

• Memory and preferences

What gets sent to AI providers:

• Your prompts and OpenClaw's responses

• Context needed for the AI to generate answers

To minimize data sharing:

• Use local models (Ollama, LM Studio)

• Configure memory to store locally only

• Disable cloud sync features

09 — Troubleshooting Common Issues

Here are solutions to the most common OpenClaw problems:

Issue 1: Gateway Won't Start

Symptoms: Running openclaw status shows "Gateway not running"

Solutions:

bash

# Check if Node.js is installed and version is 22+
node --version

# Reinstall the daemon
openclaw onboard --install-daemon

# Check logs for errors
openclaw logs

Issue 2: Messaging App Not Connecting

Symptoms: Can't receive messages from Telegram/WhatsApp bot

Solutions:

• Telegram: Verify bot token is correct, check that bot isn't blocked

• WhatsApp: Ensure phone is still paired, restart pairing process

• Discord: Check bot permissions in server settings

bash

# Reconfigure channel
openclaw config
# Select "Channels" -> "Add new channel"

Issue 3: AI Model Not Responding

Symptoms: Bot receives messages but doesn't reply

Solutions:

bash

# Verify API key is valid
openclaw config
# Select "Model configuration" -> Re-enter API key

# Check API rate limits
# Anthropic: https://console.anthropic.com/
# OpenAI: https://platform.openai.com/usage

Issue 4: "Permission Denied" Errors

Symptoms: OpenClaw can't read/write files or run commands

Solutions:

• Check file permissions on your system

• Run OpenClaw with appropriate user permissions

• Adjust sandboxing settings if too restrictive

Issue 5: High CPU or Memory Usage

Symptoms: Computer slows down when OpenClaw is running

Solutions:

bash

# Limit resources in config
openclaw config --max-memory 2048  # 2GB limit

# Disable unused skills
openclaw config
# Deselect skills you're not using

For more troubleshooting help, check:

• Official docs: https://openclaw.ai/docs

• GitHub issues: https://github.com/openclaw/openclaw/issues

• Discord community: https://discord.gg/openclaw

10 — Advanced Tips: Getting More Out of OpenClaw

Once you're comfortable with the basics, here are advanced techniques to maximize OpenClaw's potential:

Custom Skills: Build Your Own Integrations

You can create custom skills in TypeScript to extend OpenClaw's capabilities:

typescript

// example-skill.ts
export const myCustomSkill = {
  name: 'company-crm',
  description: 'Access our company CRM database',
  execute: async (params) => {
    // Your custom logic here
    const customers = await fetchFromCRM(params.query);
    return customers;
  }
};

Install with:

bash

openclaw skill install ./example-skill.ts

Multi-Instance Setup

Run multiple OpenClaw instances for different purposes:

• Personal assistant — Calendar, email, reminders (sandboxed)

• Dev assistant — Code, GitHub, deployments (trusted mode)

• Work assistant — Company tools, Slack, documentation (separate workspace)

Each instance has its own config, memory, and permissions.

Cross-Platform Sync

Enable cloud sync to access your assistant from multiple devices:

bash

openclaw config --enable-sync

Now your conversation history and memory sync across your laptop, desktop, and VPS.

Voice Control (macOS/iOS/Android)

OpenClaw can speak and listen on macOS, iOS, and Android, enabling hands-free operation:

bash

openclaw config --enable-voice

Now you can talk to your assistant: "Hey Molty, deploy the staging environment"

11 — The Future of Personal AI Assistants

OpenClaw represents a broader shift in how we interact with AI — from passive chatbots to active agents that live alongside us and execute real-world tasks.

What's Coming Next

Short-term (2026):

• More third-party integrations (Google Workspace, Microsoft 365, Salesforce)

• Improved multi-agent orchestration

• Native mobile apps (currently web-based on mobile)

• Better security tools and audit logs

Long-term vision:

• AI agents that work together (your OpenClaw talks to your colleague's OpenClaw)

• Decentralized agent networks

• Fully autonomous task execution with minimal human oversight

• Integration with physical robots and IoT ecosystems

Technology commentary has linked OpenClaw to a broader trend toward autonomous AI systems that act independently rather than merely responding to user prompts.

Industry Impact

OpenClaw has already inspired:

• Developer tools — New frameworks for agentic AI

• Business automation — Companies adopting AI assistants for operations

• Education — Students using AI tutors that adapt to their needs

• Accessibility — AI assistants helping people with disabilities

As one developer put it: "After years of AI hype, I thought nothing could faze me. Then I installed @openclaw. From nervous 'hi what can you do?' to full throttle - design, code review, taxes, PM, content pipelines... AI as teammate, not tool. The endgame of digital employees is here."

Conclusion: Your 24/7 AI Teammate Awaits

OpenClaw isn't just another AI tool — it's a paradigm shift in how we work with technology. Instead of opening apps and clicking buttons, you have a conversation. Instead of writing scripts, you describe what you want. Instead of waiting for business hours, your assistant works around the clock.

Is it perfect? No. It requires setup, carries security risks if misconfigured, and has a learning curve. But for those willing to invest the time, OpenClaw delivers something genuinely transformative: an AI assistant that doesn't just talk — it acts.

Key Takeaways

• ✅ OpenClaw is open-source — Free, hackable, no vendor lock-in

• ✅ Runs locally on your machine — You control your data and privacy

• ✅ Connects to 25+ messaging platforms — WhatsApp, Telegram, Slack, Discord, etc.

• ✅ 50+ built-in integrations — Filesystem, shell, browser, GitHub, calendar, smart home, etc.

• ✅ Persistent 24/7 operation — Always-on background daemon

• ✅ Fully customizable — Add skills, adjust permissions, build custom integrations

• ✅ Strong community — 60K+ GitHub stars, active Discord, growing ecosystem

Getting Started Checklist

• Install OpenClaw using the one-line installer

• Run the configuration wizard and connect to an AI model

• Set up your first channel (Telegram recommended for beginners)

• Enable basic skills (filesystem, shell, browser)

• Have your first conversation and test simple commands

• Gradually expand permissions as you build trust

• Explore advanced features (GitHub, cron jobs, custom skills)

What's Next? A New Way to Control Your Code from Anywhere

If OpenClaw's remote messaging capabilities excited you, you'll want to hear about the latest development in AI coding assistants: Anthropic just released Remote Control for Claude Code.

Announced in late February 2026, Remote Control allows developers to initiate a complex task in their terminal and maintain full control of it from a phone or tablet, effectively decoupling the AI agent from the physical workstation.

Here's what makes it powerful:

• Start a coding session on your laptop's terminal

• Pick it up on your phone while you're on a walk

• The code still runs on your local machine (not the cloud)

• Full access to your local files, tools, and MCP servers

• Automatic reconnection if your network drops

Claude Code has hit a $2.5 billion annualized run rate and 29 million daily installs in VS Code — and Remote Control is the feature developers have been requesting since launch.

Currently available to Claude Max subscribers ($100-$200/month) as a research preview, with Claude Pro ($20/month) access coming soon.

To try it:

bash

claude remote-control
# or from an active session:
/rc

Then scan the QR code or open the session URL on your phone. Your coding session goes mobile.

Why this matters for OpenClaw users: Both tools represent the same vision — AI assistants that aren't locked to your desk. Whether you choose OpenClaw (open-source, multi-platform, fully customizable) or Claude Code Remote Control (official Anthropic product, tightly integrated with Claude) depends on your needs. Many developers are already using both — OpenClaw for automation and orchestration, Claude Code for deep coding tasks.

The future of development is mobile, agentic, and always-on. Whether through OpenClaw, Claude Code, or the next innovation, we're entering an era where your AI teammate is always with you — not just when you're at your desk.

Ready to Build Your Own AI Assistant?

OpenClaw gives you the tools. The community provides the skills. Your imagination defines the limits.

Get Started Today:

• 📦 Installation: curl -fsSL https://get.openclaw.ai | bash

• 📚 Documentation: https://openclaw.ai/docs

• 💬 Community Discord: https://discord.gg/openclaw

• ⭐ GitHub: https://github.com/openclaw/openclaw

Need Help Implementing AI Automation for Your Business? JetherVerse helps businesses integrate AI assistants, automate workflows, and build custom solutions on top of OpenClaw and Claude Code.

• 📧 Email: info@jetherverse.net.ng

• 📞 Phone: +234 915 983 1034

• 🌐 Website: www.jetherverse.net.ng

Free consultation | Custom automation | Developer training