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This page provides practical examples of using the Meta Agent for common tasks.

Example 1: CVE Remediation Workflow

This walkthrough demonstrates the Meta Agent’s end-to-end capabilities by scanning a repository for CVEs and automatically creating a pull request with fixes.

Step 1: Enable Connectors

First, enable the connectors you’ll need. Click the connectors menu and enable GitHub and Sandbox: Enabling Connectors

Step 2: Request CVE Scan and Remediation

Enter a prompt asking the Meta Agent to scan for vulnerabilities and fix them:

Step 3: Review Results

The Meta Agent will:
  1. Clone the repository in a sandbox environment
  2. Run vulnerability scanning tools (like Trivy)
  3. Analyze the results and identify fixable issues
  4. Generate updated dependency files
  5. Create a pull request with the remediation

What You Get

  • Scan Results - List of vulnerabilities with severity levels
  • Remediation Plan - What will be changed and why
  • Pull Request - Ready for review with detailed description
  • Slack Notification - Optional alert to your team

Example 2: Infrastructure Discovery

Query your infrastructure without writing Cypher:

Find Dependencies

Response includes:
  • List of dependent services
  • Relationship types (CONNECTS_TO, DEPENDS_ON)
  • Impact assessment for changes

Permission Analysis

Response includes:
  • Role names and ARNs
  • Attached policies
  • Account breakdown
  • Security recommendations

Resource Discovery

Response includes:
  • Instance IDs and names
  • Associated IAM roles
  • Region and account information
  • Running status

Example 3: Agent Execution

This example demonstrates executing an agent on a remote worker through Meta Agent’s durable task management.

List and Execute Agents

Ask the Meta Agent to list available agents and execute one:
Meta Agent Lists Agents The Meta Agent will:
  1. List all configured agents with their capabilities
  2. Identify available worker queues with active workers
  3. Create a durable task and route it to the appropriate queue
  4. Stream real-time execution output as the agent works

Live Task Execution

Watch the agent execute in real-time with full visibility into tool calls: Live Task Execution What you see:
  • Task Started indicator with execution ID
  • Runtime (Claude Code) and Agent (DevOps Engineer) details
  • Worker Queue where the task is executing
  • Live message stream showing agent reasoning and tool calls
  • Tool execution status (Running, Success, Failed)

Create a New Agent

Meta Agent will:
  1. Create the agent with specified configuration
  2. Attach the requested skills
  3. Assign to the team
  4. Return the agent details

Example 4: Team Coordination

Create a Team

Check Team Status

Execute Team Workflow


Example 5: Memory and Learning

Query Past Incidents

Response includes:
  • Incident summary from cognitive memory
  • Root cause analysis
  • Remediation steps taken
  • Lessons learned

Store New Knowledge

Find Runbooks


Example 6: Background Jobs

Schedule a Job

Check Job Status

Pause/Resume Jobs


Example 7: Cross-Platform Operations

Create Project with Full Setup

Meta Agent orchestrates:
  1. Project creation
  2. Team assignment
  3. Background job scheduling
  4. Slack channel creation (with Slack connector)
  5. Jira board setup (with Jira connector)

Best Practices

  1. Be Specific - Include context about what you’re looking for
  2. Leverage Natural Language - Write as you would explain to a colleague
  3. Follow Up - Ask clarifying questions based on responses
  4. Use Suggestions - Act on AI-powered insights for proactive management
  5. Review Tool Calls - Check which platform resources were accessed
  6. Enable Appropriate Connectors - Make sure needed integrations are enabled

What’s Next