> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kubiya.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Capabilities

> Explore the Meta Agent's core capabilities including task routing, context graph exploration, cognitive memory, and cross-resource coordination.

The Meta Agent provides powerful capabilities that enable natural language interaction with the entire Kubiya platform.

## Intelligent Task Routing

The Meta Agent understands your intent and routes requests to the appropriate resources:

```
"Deploy the authentication service to staging"
```

The Meta Agent:

1. Identifies the DevOps team/agent best suited for deployments
2. Checks environment availability and worker capacity
3. Creates and executes the task with proper context
4. Streams results back to you

### How Routing Works

| Request Type           | Routed To           |
| ---------------------- | ------------------- |
| Deployment tasks       | DevOps agents/teams |
| Security scans         | Security agents     |
| Database operations    | DBA agents          |
| Infrastructure queries | Context Graph       |
| Historical questions   | Cognitive Memory    |

***

## Context Graph Exploration

The Meta Agent is your primary interface for exploring the Context Graph. Query your infrastructure without writing Cypher:

```
"What services depend on the user-auth database?"
```

The Meta Agent:

* Scans graph nodes for relevant entities
* Traces relationships and dependencies
* Returns structured, actionable results
* Understands natural language queries about any ingested data

### Example Queries

| Query Type               | Example                                                    |
| ------------------------ | ---------------------------------------------------------- |
| **Dependencies**         | "What depends on the payments service?"                    |
| **Resource discovery**   | "List all EC2 instances in production"                     |
| **Permission analysis**  | "Who has access to the customer-data S3 bucket?"           |
| **Relationship mapping** | "Show me the IAM roles attached to our Lambda functions"   |
| **Impact assessment**    | "What would be affected if we deprecated the auth-v1 API?" |

<Tip>
  **When to use Graph Explorer vs Meta Agent:**

  * Use the **Meta Agent** for interactive exploration, asking questions, and getting insights
  * Use the **[Graph Explorer](/core-concepts/graph-explorer)** for visual analysis when you need to see the topology spatially
</Tip>

***

## Cognitive Memory Access

Tap into organizational knowledge across all agents and teams:

```
"What did we learn from the last production outage?"
```

The Meta Agent queries the cognitive memory system, which aggregates learnings from all agents operating in your environments.

### Memory Use Cases

| Use Case             | Example Query                             |
| -------------------- | ----------------------------------------- |
| **Incident history** | "What happened during similar incidents?" |
| **Runbook lookup**   | "Find the database failover runbook"      |
| **Decision context** | "Why did we choose Kubernetes?"           |
| **Best practices**   | "What are our Python coding standards?"   |

***

## Cross-Resource Coordination

Orchestrate complex operations spanning multiple platform resources:

```
"Create a new project for Q1 cost optimization, assign the FinOps team,
and schedule weekly cloud spend analysis"
```

This single request triggers:

* Project creation with defined goals
* Team assignment with proper permissions
* Background job scheduling with recurring execution

### Multi-Step Operations

The Meta Agent can coordinate:

1. **Sequential tasks** - Operations that must happen in order
2. **Parallel execution** - Independent tasks running simultaneously
3. **Conditional logic** - Different paths based on results
4. **Error handling** - Graceful recovery from failures

***

## Platform Management

### Agent Operations

```
"List all agents that have shell access"
"Create a new agent for database migrations with PostgreSQL skills"
"Execute the DevOps agent to check Kubernetes cluster health"
```

### Team Coordination

```
"Show me all teams and their member agents"
"Create a Platform Engineering team with DevOps and SRE agents"
"Which teams have access to the production environment?"
```

### Environment Management

```
"List all environments and their configurations"
"Create a staging environment with limited AWS access"
"What secrets are available in the production environment?"
```

### Execution Monitoring

```
"Show me all failed executions from the last 24 hours"
"What's the status of execution abc123?"
"Cancel all running executions for the backup agent"
```

***

## Usage Patterns by Role

### For Business Users

Ask questions without technical knowledge:

```
"How many deployments happened this week?"
"What's the status of our cloud cost reduction project?"
"Show me any security issues that need attention"
```

### For Developers

Interact with platform resources naturally:

```
"List all agents that have shell access"
"Execute the DevOps agent to check our Kubernetes cluster health"
"Create an agent for database migrations with PostgreSQL skills"
```

### For Data Engineers

Explore infrastructure relationships:

```
"Map all data pipelines connected to the analytics warehouse"
"What resources are in our AWS us-east-1 region?"
"Show me the dependency tree for our ETL jobs"
```

### For Platform Engineers

Coordinate and manage platform resources:

```
"What workers are connected to the production queue?"
"Show me all failed executions from the last 24 hours"
"Which teams have access to the production environment?"
```

***

## Understanding Responses

Meta Agent responses include:

1. **Reasoning Process** - Transparent display of how the request was interpreted
2. **Tool Calls** - Visual indicators showing which MCP tools were invoked
3. **Visual/JSON Toggle** - Switch between formatted and raw data views
4. **Structured Results** - Organized output with clear sections
5. **Recommendations** - Actionable next steps based on findings
6. **Follow-up Options** - Suggested queries to explore further

***

## What's Next

* **[Examples](/core-concepts/meta-agent/examples)** - See real-world walkthroughs
* **[Chat Interface](/core-concepts/meta-agent/chat-interface)** - Master the UI controls
* **[Built-in Tools](/core-concepts/meta-agent/tools/overview)** - Reference for all tools