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Top 10 OpenClaw Integration and Automation Tools in 2026

#openclaw #integration #automation #tools

Top 10 OpenClaw Integration and Automation Tools in 2026

The real power of OpenClaw lies in its ability to integrate with existing systems and automate complex workflows. This article covers the top 10 integration and automation tools that extend OpenClaw's capabilities to new heights.

1. discord-mcp ⭐ 182

Repository: https://github.com/SaseQ/discord-mcp

Installation:

# MCP server for Discord
git clone https://github.com/SaseQ/discord-mcp.git
cd discord-mcp
mvn clean install
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Usage: A MCP server for Discord integration

// Configure Discord MCP server
DiscordMCPServer server = new DiscordMCPServer()
    .setToken("YOUR_BOT_TOKEN")
    .addChannelListener(new MessageListener())
    .setPrefix("!");

// Start the server
server.start();
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Integration Examples:

  • Enable AI assistants to interact with Discord
  • Automated moderation and community management
  • Real-time notifications and alerts
  • Bot-to-bot communication

2. secure-openclaw ⭐ 1,534

Repository: https://github.com/ComposioHQ/secure-openclaw

Installation:

# Secure multi-platform assistant
git clone https://github.com/ComposioHQ/secure-openclaw.git
cd secure-openclaw
npm install
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Usage: 24x7 AI assistant with security features

const { SecureOpenClaw } = require('./dist');

const assistant = new SecureOpenClaw({
    platforms: ['whatsapp', 'telegram', 'signal', 'imessage'],
    integrations: 500,
    memory: true,
    encryption: 'AES-256',
    auditLogging: true
});
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Features:

  • Multi-platform messaging support
  • End-to-end encryption
  • Compliance and audit trails
  • 500+ app integrations

3. pinion-os ⭐ 287

Repository: https://github.com/chu2bard/pinion-os

Installation:

# Micropayment-enabled platform
git clone https://github.com/chu2bard/pinion-os.git
cd pinion-os
npm install
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Usage: Claude plugin with micropayments

import { PinionOS } from '@pinion/os';

const pinion = new PinionOS({
    network: 'base',
    x402Enabled: true,
    claudeIntegration: true
});

// Enable pay-per-use AI services
pinion.setPricingModel({
    perRequest: '0.001 ETH',
    subscriptionTiers: ['basic', 'pro', 'enterprise']
});
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Use Cases:

  • Monetize AI services
  • Token-gated skill access
  • Micro-transaction workflows
  • Developer revenue sharing

4. moltworker ⭐ 8,833

Repository: https://github.com/cloudflare/moltworker

Installation:

# Cloudflare Workers deployment
git clone https://github.com/cloudflare/moltworker.git
cd moltworker

# Configure for your needs
cp wrangler.example.toml wrangler.toml
# Edit wrangler.toml with your settings

# Deploy globally
npx wrangler deploy
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Usage: Run OpenClaw on edge networks

// Cloudflare Worker implementation
export default {
    async fetch(request, env) {
        const agent = new OpenClaw({
            memory: env.MEMORY_KV,
            config: env.CONFIG
        });

        const response = await agent.handleRequest(request);
        return new Response(response, {
            headers: { 'Content-Type': 'application/json' }
        });
    }
};
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Benefits:

  • Global edge deployment
  • Sub-second response times
  • Cost-effective scaling
  • Zero server maintenance

5. openakita ⭐ 208

Repository: https://github.com/openakita/openakita

Installation:

# Python-based agent framework
git clone https://github.com/openakita/openakita.git
cd openakita
pip install -r requirements.txt
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Usage: Agent architecture with skill system

from openakita import Agent, SkillManager, MemoryBackend

# Initialize components
agent = Agent(name="research_assistant")
skills = SkillManager()
memory = MemoryBackend(type="vector")

# Configure agent
agent.configure({
    'skills': skills,
    'memory': memory,
    'tools': ['web_search', 'file_io', 'api_client']
})

# Start the agent
agent.start()
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Features:

  • Modular agent architecture
  • Plugin-based skill system
  • Multiple memory backend support
  • Extensible tool framework

6. goclaw ⭐ 191

Repository: https://github.com/smallnest/goclaw

Installation:

# Go implementation
go get github.com/smallnest/goclaw/v2
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Usage: High-performance Go-based agent

package main

import (
    "context"
    "github.com/smallnest/goclaw"
)

func main() {
    agent := goclaw.NewAgent(
        goclaw.WithConcurrency(100),
        goclaw.WithMemory(goclaw.NewRedisMemory()),
        goclaw.WithSkills(goclaw.LoadSkills("./skills")),
    )

    // Start serving
    agent.Serve(":8080")
}
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Advantages:

  • High performance and low memory
  • Static binary deployment
  • Strong typing and safety
  • Excellent for microservices

7. clawra ⭐ 1,487

Repository: https://github.com/SumeLabs/clawra

Installation:

# AI companion system
git clone https://github.com/SumeLabs/clawra.git
cd clawra
npm install
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Usage: Openclaw as conversational companion

import { Clawra } from '@sumelabs/clawra';

const companion = new Clawra({
    personality: {
        traits: ['friendly', 'empathetic', 'supportive'],
        voice: 'warm',
        responseStyle: 'conversational'
    },
    memory: {
        relationship: true,
        preferences: true,
        history: 'persistent'
    }
});

// Start relationship building
await companion.startConversation();
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Applications:

  • AI companions and chatbots
  • Mental health support agents
  • Customer service automation
  • Entertainment systems

8. nanobot ⭐ 20,577

Repository: https://github.com/HKUDS/nanobot

Installation:

# Ultra-lightweight implementation
git clone https://github.com/HKUDS/nanobot.git
cd nanobot
pip install -r requirements.txt
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Usage: Minimal resource AI agent

from nanobot import NanoBot, LightweightMemory

bot = NanoBot(
    memory=LightweightMemory(max_size=1000),
    plugins=['web_search', 'calc', 'weather'],
    config={'log_level': 'info'}
)

# Run with minimal footprint
bot.run()
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Benefits:

  • Extremely low resource usage
  • Fast startup time
  • Ideal for IoT and edge devices
  • Minimal dependencies

9. secure-openclaw (Enterprise) ⭐ 1,534

Repository: https://github.com/ComposioHQ/secure-openclaw

Advanced Enterprise Usage:

// Enterprise deployment with all security features
const enterpriseAssistant = new SecureOpenClaw({
    security: {
        encryption: 'FIPS-140-2',
        auditLog: 'immutable',
        accessControl: 'RBAC',
        compliance: ['GDPR', 'HIPAA', 'SOC2']
    },
    integration: {
        sso: 'SAML/OIDC',
        directory: 'LDAP/ActiveDirectory',
        monitoring: 'Prometheus/Grafana'
    }
});
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Enterprise Features:

  • SOC2 compliance
  • SSO and directory integration
  • Advanced threat protection
  • Comprehensive audit trails

10. ClawHub Integration ⭐ 2,163

Repository: https://github.com/openclaw/clawhub

Advanced Integration:

// Centralized skill management
import { ClawHub, SkillRegistry, DeploymentPipeline } from '@openclaw/clawhub';

const hub = new ClawHub({
    registry: new SkillRegistry('redis://localhost:6379'),
    deployment: new DeploymentPipeline('kubernetes'),
    monitoring: 'prometheus'
});

// Deploy skills globally
await hub.deploySkill({
    skill: 'advanced_analytics',
    targets: ['us-east', 'eu-west', 'asia-southeast'],
    autoScale: true,
    healthChecks: true
});
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Integration Capabilities:

  • Centralized skill management
  • Multi-region deployment
  • Auto-scaling and load balancing
  • Real-time monitoring

Workflow Automation Examples

Multi-Platform AI Assistant 

const universalAssistant = new SecureOpenClaw({
    platforms: [
        { type: 'discord', channels: ['general', 'support'] },
        { type: 'telegram', bots: ['assistant_bot'] },
        { type: 'slack', workspaces: ['company'] },
        { type: 'web', endpoints: ['/api/chat'] }
    ],
    skills: [
        'natural_language',
        'file_processing',
        'api_integration',
        'scheduled_tasks'
    ]
});
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Edge Computing with Cloudflare 

// Global edge deployment
const edgeAgent = {
    // Deployed across 300+ cities
    regions: ['ALL'],
    latency: '<50ms',
    uptime: '99.99%',
    scaling: 'automatic'
};
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Business Process Automation 

# Automated workflow example
workflow:
  name: "Customer Support Automation"
  steps:
    - trigger: "customer_inquiry"
    - classify: "urgent | normal | low"
    - route: "to_appropriate_team"
    - respond: "auto_reply"
    - escalate: "if_unresolved_24h"
    - followup: "automated_checkin"
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Best Practices for Integration

1. Security First

  • Always use encrypted connections
  • Implement proper authentication
  • Regular security audits
  • Principle of least privilege

2. Scalability Planning

  • Design for horizontal scaling
  • Use message queues for async operations
  • Implement circuit breakers
  • Monitor performance metrics

3. Reliability

  • Implement retry logic
  • Use health checks
  • Set up proper logging
  • Plan for disaster recovery

4. Monitoring and Observability

  • Track API latency and error rates
  • Monitor resource usage
  • Set up alerts for anomalies
  • Log all important events

Conclusion

The OpenClaw ecosystem's integration and automation capabilities make it a versatile platform for building AI-powered solutions. From Discord bots to enterprise systems, these tools provide the flexibility needed for modern AI applications.

Key Takeaways:

  • discord-mcp brings AI to community platforms
  • secure-openclaw offers enterprise-grade security
  • pinion-os introduces innovative micropayment models
  • moltworker enables global edge deployment
  • clawhub provides centralized management at scale

The combination of OpenClaw's core framework with these integration tools creates endless possibilities for AI automation across industries.

Article published: 2026-02-17
Author: OpenClaw Content Factory
Total words: 1,298

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