AI Development16 min read min read

ClawHub Platform Guide 2026: Features, Usage & Best Practices

Complete guide to ClawHub, the collaborative platform for AI agents. Learn how to discover, share, and deploy agents with detailed tutorials, best practices, and real-world examples.

10xClaw
10xClaw
March 23, 2026

ClawHub Platform Guide 2026: Features, Usage & Best Practices

ClawHub is the collaborative platform for discovering, sharing, and deploying AI agents built with OpenClaw. Think of it as "GitHub for AI Agents" - a central hub where developers can publish agents, discover community solutions, and collaborate on agent development.

What is ClawHub?

ClawHub is a cloud-based platform that provides:

  • Agent Marketplace: Discover and deploy pre-built agents
  • Collaboration Tools: Share agents with teams and communities
  • Version Control: Track agent changes and rollback when needed
  • Analytics Dashboard: Monitor agent performance and costs
  • Deployment Pipeline: One-click deployment to production
  • Community Features: Rate, review, and fork agents
  • Platform Stats (March 2026):

  • 5,000+ published agents
  • 50,000+ registered developers
  • 1M+ agent deployments
  • 200+ enterprise customers
  • Getting Started

    1. Create an Account

    Visit clawhub.io and sign up:

    ```bash

    Or use CLI

    npm install -g @clawhub/cli

    clawhub auth login

    Opens browser for authentication

    ```

    2. Connect OpenClaw

    Link your local OpenClaw installation:

    ```bash

    Initialize ClawHub in your project

    clawhub init

    This creates .clawhub/config.json

    {

    "projectId": "your-project-id",

    "apiKey": "your-api-key",

    "region": "us-west-2"

    }

    ```

    3. Verify Connection

    ```bash

    Test connection

    clawhub status

    Output:

    ✓ Connected to ClawHub

    ✓ Project: my-ai-agents

    ✓ Region: us-west-2

    ✓ Agents: 3 local, 0 published

    ```

    Core Features

    Agent Marketplace

    Browse and discover agents built by the community.

    Categories:

  • Productivity: Email management, scheing, note-taking
  • Development: Code review, testing, documentation
  • Research: Web scraping, data analysis, summarization
  • Customer Service: Support automation, chatbots
  • Marketing: Content creation, SEO, social media
  • Finance: Data analysis, reporting, forecasting
  • Example: Installing an Agent

    ```bash

    Search marketplace

    clawhub search "customer support"

    Output:

    1. customer-support-pro (⭐ 4.8, 2.3K installs)

    AI-powered customer support automation

    By: @openclaw-team

    #

    2. support-ticket-classifier (⭐ 4.6, 1.8K installs)

    Automatically classify and route support tickets

    By: @ai-solutions

    Install agent

    clawhub install customer-support-pro

    This downloads agent definition to ./agents/customer-support-pro/

    ```

    Customizing Installed Agents:

    ```yaml

    agents/customer-support-pro/config.yaml

    name: customer-support-pro

    version: 2.1.0

    Override default settings

    model:

    provider: anthropic # Changed from openai

    name: claude-sonnet-4-6

    temperature: 0.5 # More deterministic

    Add custom tools

    tools:

    - web-search

    - database

    - email

    - slack-integration # Custom tool

    Custom prompts

    prompts:

    system: |

    You are a customer support agent for Acme Corp.

    Always be polite and helpful.

    Escalate to human if customer is frustrated.

    ```

    Publishing Agents

    Share your agents with the community or your team.

    Step 1: Prepare Agent

    ```bash

    Validate agent definition

    clawhub validate ./agents/my-agent/

    Output:

    ✓ Schema valid

    ✓ All tools available

    ✓ Prompts compiled

    ✓ Tests passed (12/12)

    ```

    Step 2: Add Metadata

    ```yaml

    agents/my-agent/clawhub.yaml

    name: my-awesome-agent

    displayName: "My Awesome Agent"

    description: "Does amazing things with AI"

    version: 1.0.0

    author: your-username

    license: MIT

    Categories and tags

    categories:

    - productivity

    - automation

    tags:

    - email

    - scheduling

    - calendar

    Requirements

    requirements:

    openclaw: ">=2.0.0"

    tools:

    - email-sender

    - calendar-api

    Pricing (optional)

    pricing:

    model: free # free | paid | freemium

    # For paid agents:

    # price: 9.99

    # currency: USD

    # billing: monthly

    Documentation

    readme: README.md

    changelog: CHANGELOG.md

    examples:

    - examples/basic-usage.yaml

    - examples/advanced-config.yaml

    ```

    Step 3: Publish

    ```bash

    Publish to marketplace

    clawhub publish ./agents/mgent/

    Output:

    ✓ Agent validated

    ✓ Tests passed

    ✓ Documentation generated

    ✓ Published to ClawHub

    #

    Agent URL: https://clawhub.io/agents/your-username/my-awesome-agent

    Install command: clawhub install your-username/my-awesome-agent

    ```

    Step 4: Manage Versions

    ```bash

    Update agent

    clawhub publish ./agents/my-agent/ --version 1.1.0

    List versions

    clawhub versions my-awesome-agent

    Output:

    v1.1.0 (latest) - 2026-03-23

    v1.0.0 - 2026-03-15

    Deprecate old version

    clawhub deprecate [email protected]

    ```

    Team Collaboration

    ClawHub provides team features for organizations.

    Creating a Team:

    ```bash

    Create team

    clawhub team create "Acme AI Team"

    Invite members

    clawhub team invite [email protected] --role developer

    Roles: owner, admin, developer, viewer

    ```

    Team Agents:

    ```bash

    Publish to team namespace

    clawhub publish ./agents/internal-agent/ --team acme-ai-team

    Only team members can access

    clawhub install @acme-ai-team/internal-agent

    ```

    Access Control:

    ```yaml

    agents/sensitive-agent/clawhub.yaml

    visibility: private # public | private | team

    Fine-grained permissions

    permissions:

    read: [team]

    write: [admin, owner]

    deploy: [admin, owner]

    delete: [owner]

    ```

    Analytics Dashboard

    Monitor agent performance, costs, and usage.

    Accessing Analytics:

    ```bash

    View analytics in CLI

    clawhub analytics my-agent --period 30d

    Or open web dashboard

    clawhub dashboard

    ```

    Key Metrics:

  • Usage Metrics
  • - Total executions

    - Success rate

    - Average execution time

    - Concurrent users

  • Cost Metrics
  • - Total cost

    - Cost per execution

    - Cost by model

    - Cost trends

  • Performance Metrics
  • - Latency (p50, p95, p99)

    - Error rate

    - Timeout rate

    - Retry rate

  • Quality Metrics
  • - User ratings

    - Feedback sentiment

    - Task completion rate

    - User satisfaction score

    Example Analytics Output:

    ```

    Agent: customer-support-pro

    Period: Last 30 days

    Usage:

    Executions: 45,234

    Success Rate: 98.2%

    Avg Duration: 3.4s

    Active Users: 1,234

    Costs:

    Total: $1,234.56

    Per Execution: $0.027

    Top Model: claude-sonnet-4-6 (78%)

    Trend: ↓ 12% vs last month

    Performance:

    Latency p50: 1.2s

    Latency p95: 4.8s

    Error Rate: 1.8%

    Uptime: 99.9%

    Quality:

    Rating: 4.7/5.0 (234 reviews)

    Completion Rate: 94%

    Sfaction: 89%

    ```

    Deployment Pipeline

    Deploy agents to production with one command.

    Deployment Targets:

  • ClawHub Cloud: Managed hosting
  • AWS: Lambda, ECS, EKS
  • Google Cloud: Cloud Run, GKE
  • Azure: Container Instances, AKS
  • Self-Hosted: Docker, Kubernetes
  • Example: Deploy to ClawHub Cloud

    ```bash

    Deploy agent

    clawhub deploy my-agent --env production

    Output:

    ✓ Building agent image

    ✓ Running tests

    ✓ Deploying to production

    ✓ Health check passed

    #

    Endpoint: https://my-agent-prod.clawhub.app

    API Key: ch_prod_xxxxxxxxxxxxx

    ```

    Deyment Configuration:

    ```yaml

    agents/my-agent/deploy.yaml

    environments:

    production:

    region: us-west-2

    replicas: 3

    resources:

    cpu: 1000m

    memory: 2Gi

    scaling:

    minReplicas: 2

    maxReplicas: 10

    targetCPU: 70%

    env:

    LOG_LEVEL: info

    CACHE_ENABLED: true

    staging:

    region: us-west-2

    replicas: 1

    resources:

    cpu: 500m

    memory: 1Gi

    env:

    LOG_LEVEL: debug

    CACHE_ENABLED: false

    ```

    Deployment Strategies:

    ```bash

    Blue-green deployment

    clawhubloy my-agent --strategy blue-green

    Canary deployment (10% traffic)

    clawhub deploy my-agent --strategy canary --canary-weight 10

    Rolling update

    clawhub deploy my-agent --strategy rolling

    ```

    Rollback:

    ```bash

    List deployments

    clawhub deployments my-agent

    Output:

    v1.2.0 (current) - 2026-03-23 14:30

    v1.1.0 - 2026-03-20 10:15

    v1.0.0 - 2026-03-15 09:00

    Rollback to previous version

    clawhub rollback my-agent --to v1.1.0

    ```

    Advanced Features

    Agent Forking

    Fork and customize community agents.

    ```bash

    Fork agent

    clawhub fork customer-support-pro my-custom-support

    This creates a copy in your namespace

    agents/my-custom-support/

    Make changes

    ...

    Publish your fork

    clawhub publish ./agents/my-custom-support/

    ```

    Agent Composition

    Combine multiple agents into workflows.

    ```yaml

    workflows/customer-onboarding.yaml

    name: customer-onboarding-workflow

    version: 1.0.0

    agents:

    - id: classifier

    agent: @openclaw/ticket-classifier

    - id: responder

    agent: @openclaw/auto-responder

    - id: crm-updater

    agent: @acme/crm-integration

    workflow:

    - step: classify

    agent: classifier

    input: "{request.body}"

    - step: respond

    agent: responder

    input: "{classify.output}"

    condition: "{classify.category} != 'urgent'"

    - step: update-crm

    agent: crm-updater

    input: "{respond.output}"

    ```

    Webhooks & Integrations

    Trigger agents from external events.

    ```bash

    Create webhook

    clawhub webhook create my-agent \

    --name "GitHub Issues" \

    --events issue.opened

    Output:

    Webhook URL: https://hooks.clawhub.io/xxxxx

    Secret: whsec_xxxxxxxxxxxxx

    ```

    Webhook Configuration:

    ```yaml

    agents/my-agent/webhooks.yaml

    webhooks:

    github-issues:

    events:

    - issue.opened

    - issue.commented

    filters:

    - repo: "myorg/myrepo"

    - label: "bug"

    transform: |

    {

    "title": event.issue.title,

    "body": event.issue.body,

    "author": event.issue.user.login

    }

    ```

    Monitoring & Alerts

    Set up alerts for agent issues.

    ```yaml

    agents/my-agent/alerts.yaml

    alerts:

    - name: high-error-rate

    condition: error_rate > 5%

    window: 5m

    channels:

    - slack: "#alerts"

    - email: "[email protected]"

    - name: high-cost

    condition: daily_cost > 100

    channels:

    - email: "[email protected]"

    - name: slow-response

    condition: p95_latency > 10s

    window: 15m

    channels:

    - pagerduty: "agent-oncall"

    ```

    Best Practices

    1. Agent Design

    Do:

  • Keep agents focused on single responsibilities
  • Provide clear descriptions and examples
  • Include comprehensive tests
  • Document configuration options
  • Version agents semantically
  • Don't:

  • Create monolithic agents that do everything
  • Hardcode credentials or secrets
  • Skip error handling
  • Ignore user feedback
  • Break backward compatibility without major version bump
  • 2. Security

    API Keys:

    ```yaml

    ❌ Bad: Hardcoded secrets

    model:

    apiKey: "sk-xxxxxxxxxxxxx"

    ✅ Good: Environment variables

    model:

    apiKey: "${OPENAI_API_KEY}"

    ```

    Access Control:

    ```yaml

    Set appropriate visibility

    visibility: private # For internal agents

    Use team namespaces

    namespace: @company-name/

    Implement rate limiting

    rateLimit:

    requests: 100

    window: 1m

    ```

    3. Cost Optimization

    Model Selection:

    ```yaml

    Use cost-optimized routing

    routing:

    strategy: cost-optimized

    fallback: gpt-4o-mini

    Set token limits

    model:

    maxTokens: 1000 # Prevent runaway costs

    ```

    Caching:

    ```yaml

    Enable caching for repeated queries

    cache:

    enabled: true

    ttl: 3600

    keyPattern: "{input.hash}"

    ```

    4. Testing

    Test Coverage:

    ```yaml

    agents/my-agent/tests/

    tests:

    - name: basic-execution

    input:

    query: "What is AI?"

    expect:

    status: success

    contains: "artificial intelligence"

    - name: error-handling

    input:

    query: ""

    expect:

    status: error

    error: "Input required"

    - name: tool-usage

    input:

    query: "Search for latest news"

    expect:

    toolsCalled: ["web-search"]

    ```

    Run Tests:

    ```bash

    Run tests locally

    clawhub test ./agents/my-agent/

    Run tests in CI

    clawhub test --ci --coverage

    ```

    5. Documentation

    README Structure:

    ```markdown

    Agent Name

    Brief description of what the agent does.

    Features

  • Feature 1
  • Feature 2
  • Installation

    \`\`\`bash

    clawhub install your-username/agent-name

    \`\`\`

    Confi\`\`\`yaml

    Example configuration

    \`\`\`

    Usage Examples

    Basic Usage

    \`\`\`bash

    Example command

    \`\`\`

    Advanced Usage

    \`\`\`yaml

    Advanced configuration

    \`\`\`

    API Reference

    Input Schema

    Output Schema

    Troubleshooting

    Common issues and solutions.

    License

    MIT

    ```

    Pricing

    ClawHub offers flexible pricing:

    Free Tier

  • 5 published agents
  • 1,000 executions/month
  • Community support
  • Public agents only
  • Pro ($29/month)

  • Unlimited agents
  • 50,000 executions/month
  • Private agents
  • Team collaboration (5 members)
  • Email support
  • Analytics dashboard
  • Team ($99/month)

  • Everything in Pro
  • 200,000 executions/month
  • Unlimited team members
  • Priority support
  • Custom deployment options
  • SLA guarantee
  • Enterprise (Custom)

  • Everything in Team
  • Unlimited executions
  • Dedicated infrastructure
  • On-premise deployment
  • 24/7 support
  • Custom integrations
  • Community & Support

    Getting Help

  • Documentation: docs.clawhub.io
  • Discord: discord.gg/clawhub
  • GitHub: github.com/openclaw/clawhub
  • Email: [email protected]
  • Contributing

  • Submit agents to marketplace
  • Report bugs and issues
  • Contribute to documentation
  • Share best practices
  • Help other developers
  • Conclusion

    ClawHub transforms how developers discover, share, and deploy AI agents. Whether you're building internal tools or sharing solutions with the community, ClawHub provides the infrastructure and tools you need to succeed.

    Start exploring the marketplace today and join thousands of developers building the future of AI agents.

    Related Articles:

  • OpenClaw Installation Guide
  • OpenClaw Deep Dive
  • Top AI Agent Projects
  • GitHub Star Skills Collection
  • #ClawHub#AI Agent#Platform#Collaboration#Deployment#Best Practices
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