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.
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.
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.
ClawHub is a cloud-based platform that provides:
Platform Stats (March 2026):
Visit clawhub.io and sign up:
```bash
npm install -g @clawhub/cli
clawhub auth login
```
Link your local OpenClaw installation:
```bash
clawhub init
{
"projectId": "your-project-id",
"apiKey": "your-api-key",
"region": "us-west-2"
}
```
```bash
clawhub status
```
Browse and discover agents built by the community.
Categories:
Example: Installing an Agent
```bash
clawhub search "customer support"
#
clawhub install customer-support-pro
```
Customizing Installed Agents:
```yaml
name: customer-support-pro
version: 2.1.0
model:
provider: anthropic # Changed from openai
name: claude-sonnet-4-6
temperature: 0.5 # More deterministic
tools:
- web-search
- database
- slack-integration # Custom tool
prompts:
system: |
You are a customer support agent for Acme Corp.
Always be polite and helpful.
Escalate to human if customer is frustrated.
```
Share your agents with the community or your team.
Step 1: Prepare Agent
```bash
clawhub validate ./agents/my-agent/
```
Step 2: Add Metadata
```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:
- productivity
- automation
tags:
- scheduling
- calendar
requirements:
openclaw: ">=2.0.0"
tools:
- email-sender
- calendar-api
pricing:
model: free # free | paid | freemium
# For paid agents:
# price: 9.99
# currency: USD
# billing: monthly
readme: README.md
changelog: CHANGELOG.md
examples:
- examples/basic-usage.yaml
- examples/advanced-config.yaml
```
Step 3: Publish
```bash
clawhub publish ./agents/mgent/
#
```
Step 4: Manage Versions
```bash
clawhub publish ./agents/my-agent/ --version 1.1.0
clawhub versions my-awesome-agent
clawhub deprecate [email protected]
```
ClawHub provides team features for organizations.
Creating a Team:
```bash
clawhub team create "Acme AI Team"
clawhub team invite [email protected] --role developer
```
Team Agents:
```bash
clawhub publish ./agents/internal-agent/ --team acme-ai-team
clawhub install @acme-ai-team/internal-agent
```
Access Control:
```yaml
visibility: private # public | private | team
permissions:
read: [team]
write: [admin, owner]
deploy: [admin, owner]
delete: [owner]
```
Monitor agent performance, costs, and usage.
Accessing Analytics:
```bash
clawhub analytics my-agent --period 30d
clawhub dashboard
```
Key Metrics:
- Total executions
- Success rate
- Average execution time
- Concurrent users
- Total cost
- Cost per execution
- Cost by model
- Cost trends
- Latency (p50, p95, p99)
- Error rate
- Timeout rate
- Retry rate
- 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%
```
Deploy agents to production with one command.
Deployment Targets:
Example: Deploy to ClawHub Cloud
```bash
clawhub deploy my-agent --env production
#
```
Deyment Configuration:
```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
clawhubloy my-agent --strategy blue-green
clawhub deploy my-agent --strategy canary --canary-weight 10
clawhub deploy my-agent --strategy rolling
```
Rollback:
```bash
clawhub deployments my-agent
clawhub rollback my-agent --to v1.1.0
```
Fork and customize community agents.
```bash
clawhub fork customer-support-pro my-custom-support
clawhub publish ./agents/my-custom-support/
```
Combine multiple agents into workflows.
```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}"
```
Trigger agents from external events.
```bash
clawhub webhook create my-agent \
--name "GitHub Issues" \
--events issue.opened
```
Webhook Configuration:
```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
}
```
Set up alerts for agent issues.
```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"
```
Do:
Don't:
API Keys:
```yaml
model:
apiKey: "sk-xxxxxxxxxxxxx"
model:
apiKey: "${OPENAI_API_KEY}"
```
Access Control:
```yaml
visibility: private # For internal agents
namespace: @company-name/
rateLimit:
requests: 100
window: 1m
```
Model Selection:
```yaml
routing:
strategy: cost-optimized
fallback: gpt-4o-mini
model:
maxTokens: 1000 # Prevent runaway costs
```
Caching:
```yaml
cache:
enabled: true
ttl: 3600
keyPattern: "{input.hash}"
```
Test Coverage:
```yaml
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
clawhub test ./agents/my-agent/
clawhub test --ci --coverage
```
README Structure:
```markdown
Brief description of what the agent does.
\`\`\`bash
clawhub install your-username/agent-name
\`\`\`
\`\`\`
\`\`\`bash
\`\`\`
\`\`\`yaml
\`\`\`
Common issues and solutions.
MIT
```
ClawHub offers flexible pricing:
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.
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