OpenClaw Complete Guide 2026: Setup, Configuration, and Best Practices

OpenClaw (龙虾) is an open-source AI assistant framework that lets you deploy your own ChatGPT/Claude-like interface with full control over models, data, and features. Whether you want a personal AI assistant, team knowledge base, or customer service bot, OpenClaw provides the foundation.

This comprehensive guide covers everything from basic setup to advanced configuration, helping you deploy OpenClaw in under 30 minutes.

What is OpenClaw?

Core Features

Multi-Model Support:

✅ Claude (Opus, Sonnet, Haiku)

✅ GPT-4, GPT-4 Turbo, GPT-3.5

✅ Gemini Pro, Gemini Ultra

✅ Local models (Ollama, LM Studio, vLLM)

✅ Custom API endpoints

Multi-Channel Deployment:

✅ Web interface (React/Next.js)

✅ Telegram bot

✅ Discord bot

✅ Feishu/Lark bot

✅ QQ bot

✅ WeChat (Enterprise WeChat)

Advanced Capabilities:

✅ Conversation memory and context

✅ File upload and analysis

✅ Image generation (DALL-E, Midjourney)

✅ Web search integration

✅ Code execution sandbox

✅ Plugin system

✅ Multi-user management

✅ Usage analytics

OpenClaw vs Official Claude

| Feature | OpenClaw | Official Claude |

|---------|----------|-----------------|

| Cost | Self-hosted (API costs only) | $20/month Pro |

| Models | Any model (Claude, GPT, local) | Claude only |

| Data Privacy | Full control, self-hosted | Anthropic servers |

| Customization | Unlimited (open source) | Limited |

| Channels | Multi-channel (Telegram, Discord, etc.) | Web only |

| Plugins | Extensible plugin system | Limited tools |

| Team Features | Multi-user, role-based access | Individual accounts |

| API Access | Direct API control | Via Anthropic API |

When to use OpenClaw:

Need data privacy (healthcare, finance, legal)

Want to use multiple AI models

Require custom integrations (Telegram, Discord, Feishu)

Building team/enterprise AI assistant

Need full control over features and data

When to use Official Claude:

Just want to chat with Claude

Don't want to manage infrastructure

Prefer official support

Quick Start: Deploy in 15 Minutes

Option 1: Docker (Recommended for Local Development)

Prerequisites:

Docker and Docker Compose installed

Claude API key (or OpenAI/Gemini key)

Step 1: Clone Repository

```bash

git clone https://github.com/openclaw/openclaw.git

cd openclaw

```

Step 2: Configure Environment

```bash

cp .env.example .env

nano .env

```

Essential Configuration:

```env

API Keys (at least one required)

ANTHROPIC_API_KEY=sk-ant-xxx

OPENAI_API_KEY=sk-xxx

GOOGLE_API_KEY=xxx

Default Model

DEFAULT_MODEL=claude-3-opus-20240229

Server Configuration

PORT=3000

NODE_ENV=production

Database (SQLite for local, PostgreSQL for production)

DATABASE_URL=sqlite:./data/openclaw.db

Session Secret (generate with: openssl rand -hex 32)

SESSION_SECRET=your-secret-key-here

Optional: Enable Features

ENABLE_WEB_SEARCH=true

ENABLE_IMAGE_GENERATION=true

ENABLE_CODE_EXECUTION=false # Security risk, enable carefully

```

Step 3: Start Services

```bashpose up -d

```

Step 4: Access Interface

```

http://localhost:3000

```

Default Credentials:

Username: `admin`

Password: `changeme` (change immediately!)

Verify Deployment:

```bash

Check container status

docker-compose ps

View logs

docker-compose logs -f openclaw

Test API

curl http://localhost:3000/api/health

```

Option 2: Railway (One-Click Cloud Deployment)

Railway offers $5/month free tier, perfect for personal use.

Step 1: Deploy to Railway


Step 2: Configure Environment Variables

In Railway dashboard, add:

```

ANTHROPIC_API_KEY=sk-ant-xxx

DEFAULT_MODEL=claude-3-sonnet-20240229

SESSION_SECRET=

DATABASE_URL=

```

Step 3: Access Your Deployment

Railway provides a URL like: `https://openclaw-production-xxxx.up.railway.app`

Cost Estimate:

Free tier: $5/month credit (enough for light use)

Paid: ~$10-20/month for moderate use

Database: Included in Railway PostgreSQL addon

Option 3: Zeabur (China-Optimized)

Zeabur offers better performance for users in China.

Step 1: Import from GitHub

Visit Zeabur Dashboard

Click "New Project" → "Import from GitHub"

Select `openclaw/openclaw` repository

Step 2: Configure Services

Zeabur auto-detects:

Node.js application

PostgreSQL database

Redis cache (optional)

Step 3: Set Environment Variables

```

ANTHROPIC_API_KEY=sk-ant-xxx

DEFAULT_MODEL=claude-3-sonnet-20240229

SESSION_SECRET=

```

Step 4: Deploy

Click "Deploy" - Zeabur handles the rest.

Cost Estimate:

Developer plan: $5/month (1GB RAM, 1 vCPU)

Team plan: $20/month (2GB RAM, 2 vCPU)

Database: $5/month (1GB storage)

Option 4: Vercel (Serverless)

Limitations: Vercel's serverless functions have 10-second timeout, not ideal for long conversations.

Best for: Landing pages, documentation, lightweight demos

Deploy:

```bash

npm install -g vercel

vercel --prod

```

Configuration:

Add environment variables in Vercel dashboard

Use external database (Supabase, PlanetScale)

Consider Vercel Pro for longer timeouts ($20/month)

Configuration Deep Dive

Model Configuration

OpenClaw supports multiple AI models simultaneously. Configure in `config/models.json`:

```json

{

"models": [

{

"id": "claude-3-opus",

"name": "Claude 3 Opus",

"provider": "anthropic",

"model": "claude-3-opus-20240229",

"maxTokens": 4096,

"temperature": 0.7,

"enabled": true,

"cost": {

"input": 0.015,

"output": 0.075

}

},

{

"id": "gpt-4-turbo",

"name": "GPT-4 Turbo",

"provider": "openai",

"model": "gpt-4-turbo-preview",

"maxTokens": 4096,

"temperature": 0.7,

"enabled": true,

"cost": {

"input": 0.01,

"output": 0.03

}

},

{

"id": "gemini-pro",

"name": "Gemini Pro",

"provider": "google",

"model": "gemini-pro",

"maxTokens": 2048,

"temperature": 0.9,

"enabled": true,

"cost": {

"input": 0.00025,

"output": 0.0005

}

}

],

"routing": {

"default": "claude-3-opus",

"rules": [

{

"condition": "message.length < 500",

"model": "claude-3-haiku"

},

{

"condition": "message.includes('code')",

"model": "gpt-4-turbo"

},

{

"condition": "message.includes('image')",

"model": "gemini-pro-vision"

}

]

}

}

```

Model Routing Strategies:

Cost-Based: Use cheaper models for simple queries

Task-Based: Route coding to GPT-4, analysis to Claude

Load-Based: Distribute across models to avoid rate limits

User-Based: Premium users get Opus, free users get Haiku

System Prompt Configuration

Customize AI behavior with system prompts in `config/prompts.json`:

```json

{

"default": {

"system": "You are a helpful AI assistant. Be concise, accurate, and friendly.",

"temperature": 0.7,

"maxTokens": 2048

},

"coding": {

"system": "You are an expert programmer. Provide clean, well-documented code with explanations. Follow best practices and consider edge cases.",

"temperature": 0.3,

"maxTokens": 4096

},

"creative": {

"system": "You are a creative writing assistant. Be imaginative, engaging, and help users develop their ideas.",

"temperature": 0.9,

"maxTokens": 3000

},

"analyst": {

"system": "You are a data analyst. Provide structured analysis with clear insights, data-driven recommendations, and visualizations when appropriate.",

"temperature": 0.5,

"maxTokens": 3000

}

}

```

Dynamic Prompt Selection:

```javascript

// Auto-detect user intent and select appropriate prompt

function selectPrompt(message) {

if (message.includes('code') || message.includes('function')) {

return 'coding';

} else if (message.includes('story') || message.includes('creative')) {

return 'creative';

} else if (message.includes('analyze') || message.includes('data')) {

return 'analyst';

}

return 'default';

}

```

Memory and Context Management

OpenClaw maintains conversation context across messages:

Configuration (`config/memory.json`):

```json

{

"maxMessages": 20,

"maxTokens": 8000,

"strategy": "sliding-window",

"summarization": {

"enabled": true,

"threshold": 15,

"model": "claude-3-haiku"

},

"persistence": {

"enabled": true,

"ttl": 86400

}

}

```

Memory Strategies:

Sliding Window: Keep last N messages

Token-Based: Keep messages until token limit

Summarization: Summarize old messages, keep recent ones

Semantic: Keep most relevant messages based on current query

Example Implementation:

```javascript

class ConversationMemory {

constructor(config) {

this.maxMessages = config.maxMessages;

this.maxTokens = config.maxTokens;

this.messages = [];

}

async addMessage(message) {

this.messages.push(message);

// Trim if exceeds limits

if (this.messages.length > this.maxMessages) {

await this.summarizeOldMessages();

}

// Check token count

const totalTokens = this.countTokens();

if (totalTokens > this.maxTokens) {

await this.compressContext();

}

}

async summarizeOldMessages() {

const oldMessages = this.messages.slice(0, -10);

const summary = await this.generateSummary(oldMessages);

this.messages = [

{ role: 'system', content: `Previous conversation summary: ${summary}` },

...this.messages.slice(-10)

];

}

}

```

User Management and Authentication

Enable Multi-User Mode:

```env

ENABLE_AUTH=true

AUTH_PROVIDER=local # or: oauth, saml, ldap

ALLOW_REGISTRATION=false # Set true for open registration

```

User Roles:

```json

{

"roles": {

"admin": {

"permissions": ["*"],

"modelAccess": ["*"],

"rateLimit": null

},

"premium": {

"permissions": ["chat", "files", "search", "image"],

"modelAccess": ["claude-3-opus", "gpt-4-turbo"],

"rateLimit": {

"requests": 1000,

"period": "day"

}

},

"free": {

"permissions": ["chat"],

"modelAccess": ["claude-3-haiku", "gpt-3.5-turbo"],

"rateLimit": {

"requests": 100,

"period": "day"

}

}

}

}

```

OAuth Integration (Google, GitHub, Microsoft):

```env

OAUTH_GOOGLE_CLIENT_ID=xxx

OAUTH_GOOGLE_CLIENT_SECRET=xxx

OAUTH_GITHUB_CLIENT_ID=xxx

OAUTH_GITHUB_CLIENT_SECRET=xxx

```

Database Configuration

SQLite (Development):

```env

DATABASE_URL=sqlite:./data/openclaw.db

```

PostgreSQL (Production):

```env

DATABASE_URL=postgresql://user:password@host:5432/openclaw

```

MySQL:

```env

DATABASE_URL=mysql://user:password@host:3306/openclaw

```

Run Migrations:

```bash

npm run db:migrate

```

Backup:

```bash

PostgreSQL

pg_dump openclaw > backup.sql

SQLite

cp data/openclaw.db data/openclaw.db.backup

```

Advanced Features

Web Search Integration

Enable AI to search the web for current information:

```env

ENABLE_WEB_SEARCH=true

SEARCH_PROVIDER=google # or: bing, duckduckgo, serper

GOOGLE_SEARCH_API_KEY=xxx

GOOGLE_SEARCH_ENGINE_ID=xxx

```

Usage:

```

User: What's the latest news about AI?

AI: [Searches web] According to recent articles from TechCrunch and The Verge...

```

Image Generation

Integrate DALL-E, Midjourney, or Stable Diffusion:

```env

ENABLE_IMAGE_GENERATION=true

IMAGE_PROVIDER=openai # or: midjourney, stability

OPENAI_API_KEY=xxx

```

Usage:

```

User: Generate an image of a futuristic city

AI: [Generates image] Here's your image: [displays generated image]

```

Code Execution Sandbox

⚠️ Security Warning: Only enable in trusted environments!

```env

ENABLE_CODE_EXECUTION=true

CODE_SANDBOX=docker # or: vm, wasm

ALLOWED_LANGUAGES=python,javascript,bash

```

Usage:

```

User: Run this Python code: print("Hello, World!")

AI: [Executes in sandbox]

Output: Hello, World!

```

File Upload and Analysis

Support PDF, DOCX, images, and more:

```env

ENABLE_FILE_UPLOAD=true

MAX_FILE_SIZE=10485760 # 10MB

ALLOWED_TYPES=pdf,docx,txt,png,jpg

STORAGE_PROVIDER=local # or: s3, gcs, azure

```

Usage:

```

User: [Uploads contract.pdf] Summarize this contract

AI: [Analyzes PDF] This is a service agreement between...

```

Troubleshooting

Common Issues

Issue 1: "API Key Invalid"

Symptoms:

```

Error: Invalid API key provided

```

Solutions:

Verify API key format:

- Anthropic: `sk-ant-api03-xxx`

- OpenAI: `sk-xxx`

- Google: `AIzaSyxxx`

Check key hasn't expired

Verify key has correct permissions

Test key directly:

```bash

curl https://api.anthropic.com/v1/messages \

-H "x-api-key: $ANTHROPIC_API_KEY" \

-H "anthropic-version: 2023-06-01" \

-H "content-type: application/json" \

-d '{"model":"claude-3-haiku-20240307","max_tokens":10,"messages":[{"role":"user","content":"Hi"}]}'

```

Issue 2: "Database Connection Failed"

Symptoms:

```

Error: connect ECONNREFUSED 127.0.0.1:5432

```

Solutions:

Check database is running:

```bash

docker-compose ps

```

Verify DATABASE_URL format

Check network connectivity

Review database logs:

```bash

docker-compose logs postgres

```

Issue 3: "Rate Limit Exceeded"

Symptoms:

```

Error: Rate limit exceeded. Please try again later.

```

Solutions:

Implement request queuing

Use multiple API keys with rotation

Add caching layer

Upgrade API tier

Configure rate limits in `config/rateLimit.json`:

```json

{

"global": {

"requests": 100,

"period": "minute"

},

"perUser": {

"requests": 10,

"period": "minute"

}

}

```

Issue 4: "Memory Leak / High RAM Usage"

Symptoms:

Container restarts frequently

Slow response times

Out of memory errors

Solutions:

Reduce conversation history:

```env

MAX_CONTEXT_MESSAGES=10

```

Enable conversation summarization

Increase container memory:

```yaml

docker-compose.yml

services:

openclaw:

mem_limit: 2g

```

Monitor memory usage:

```bash

docker stats openclaw

```

Issue 5: "Slow Response Times"

Symptoms:

Responses take >30 seconds

Timeout errors

Solutions:

Use faster models (Haiku instead of Opus)

Reduce max_tokens

Enable streaming responses

Add Redis caching:

```env

REDIS_URL=redis://localhost:6379

ENABLE_CACHE=true

CACHE_TTL=3600

```

Use CDN for static assets

Debug Mode

Enable detailed logging:

```env

LOG_LEVEL=debug

DEBUG=openclaw:*

```

View Logs:

```bash

Docker

docker-compose logs -f --tail=100 openclaw

PM2

pm2 logs openclaw

Systemd

journalctl -u openclaw -f

```

Performance Optimization

Caching Strategy

Redis Configuration:

```env

REDIS_URL=redis://localhost:6379

CACHE_ENABLED=true

```

Cache Layers:

Response Cache: Cache identical queries

Model Cache: Cache model outputs

Session Cache: Cache user sessions

Static Cache: Cache UI assets

Implementation:

```javascript

const cache = new Redis(process.env.REDIS_URL);

async function getCachedResponse(query) {

const cacheKey = `response:${hash(query)}`;

const cached = await cache.get(cacheKey);

if (cached) {

return JSON.parse(cached);

}

const response = await generateResponse(query);

await cache.setex(cacheKey, 3600, JSON.stringify(response));

return response;

}

```

Load Balancing

Nginx Configuration:

```nginx

upstream openclaw {

least_conn;

server openclaw1:3000;

server openclaw2:3000;

server openclaw3:3000;

}

server {

listen 80;

server_name openclaw.example.com;

location / {

proxy_pass http://openclaw;

proxy_http_version 1.1;

proxy_set_header Upgrade $http_upgrade;

proxy_set_header Connection 'upgrade';

proxy_set_header Host $host;

proxy_cache_bypass $http_upgrade;

}

}

```

Database Optimization

Indexes:

```sql

CREATE INDEX idx_conversations_user_id ON conversations(user_id);

CREATE INDEX idx_messages_conversation_id ON messages(conversation_id);

CREATE INDEX idx_messages_created_at ON messages(created_at);

```

Connection Pooling:

```env

DATABASE_POOL_MIN=2

DATABASE_POOL_MAX=10

```

Security Best Practices

1. API Key Management

Never commit API keys to Git:

```bash

.gitignore

.env

.env.local

.env.production

config/secrets.json

```

Use environment variables:

```bash

Set in shell

export ANTHROPIC_API_KEY=sk-ant-xxx

Or use .env file (not committed)

echo "ANTHROPIC_API_KEY=sk-ant-xxx" >> .env

```

Rotate keys regularly:

Generate new API key

Update in all environments

Revoke old key

Monitor for unauthorized usage

2. Input Validation

Sanitize user input:

```javascript

function sanitizeInput(input) {

// Remove potential injection attacks

return input

.replace(/