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Custom Agents are specialized AI agents configured with the right skills, tools, knowledge, and permissions for a defined use case. They are the backend of Agentic Applications. They accept text, files, and images, and can return text or run tasks on behalf of the user.

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When to use a Custom Agent

Use a Custom Agent when a workflow needs an agent that is shaped for a specific job - a Redshift Analyzer, a customer escalation triager, or a KYC reviewer - rather than a general assistant.

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Examples

Custom Agents come in many shapes. Here are a few built for specific business workflows:
A custom agent built for secure code review and live analysis. It scans a codebase for vulnerabilities and writes a detailed report with fixes, checks current CVEs and security advisories, and generates a live, interactive report of findings and remediation steps in the chat.
DataSec Review custom agent

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What a Custom Agent includes

Every Custom Agent brings together a model that powers its reasoning, the skills and tools it uses to take action, and the knowledge and data access it needs for the systems it works with. A system prompt defines its role and output, while permissions control what it can do automatically.

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How they power applications

A Custom Agent does the work behind an Agentic Application’s frontend. The application presents chat, live surfaces, and reports; the Custom Agent understands the task, uses tools, accesses data, and performs the actions. To configure a Custom Agent’s backend, see Manage Agents.