# Build Agents

> For the complete documentation index, see [llms.txt](https://docs.redpanda.com/llms.txt). Component-specific: [agentic-data-plane-full.txt](https://docs.redpanda.com/agentic-data-plane-full.txt)

---
title: Build Agents
latest-operator-version: v26.1.5
latest-console-tag: v3.7.4
latest-connect-version: 4.96.1
latest-redpanda-tag: v26.1.10
docname: agents
page-component-name: agentic-data-plane
page-version: master
page-component-version: master
page-component-title: Agentic Data Plane
page-relative-src-path: agents.adoc
page-edit-url: https://github.com/redpanda-data/adp-docs/edit/main/modules/connect/pages/agents.adoc
description: Understand how AI agents work in the Agentic Data Plane, then create, register, and design them.
page-git-created-date: "2026-06-01"
page-git-modified-date: "2026-06-01"
---

<!-- Source: https://docs.redpanda.com/agentic-data-plane/connect/agents.md -->

Agents are the workloads that call LLMs and tools through the Agentic Data Plane. Start with how agents work, then create a declarative agent, register one you run yourself, and apply architecture and system-prompt best practices.

-   [How Agents Work](https://docs.redpanda.com/agentic-data-plane/connect/agents-overview/)

    Learn how ADP agents use a declarative approach backed by a broad library of prebuilt tools and integrations to replace custom agent code.

-   [Understand Agent Concepts](https://docs.redpanda.com/agentic-data-plane/connect/concepts/)

    Understand how declaratively configured agents execute reasoning loops, manage context, invoke tools, and handle errors.

-   [Connect Agents with A2A](https://docs.redpanda.com/agentic-data-plane/connect/a2a-concepts/)

    The A2A protocol enables agents to discover and call each other across platforms. Learn how agent cards, authentication, and protocol versioning work in ADP.

-   [Choose an Agent Architecture](https://docs.redpanda.com/agentic-data-plane/connect/architecture-patterns/)

    Design maintainable agent systems with single-agent and multi-agent patterns based on domain complexity.

-   [Write Effective System Prompts](https://docs.redpanda.com/agentic-data-plane/connect/system-prompts/)

    Write system prompts that produce reliable, predictable agent behavior through clear constraints and tool guidance.

-   [Create an Agent](https://docs.redpanda.com/agentic-data-plane/connect/create-agent/)

    Configure an ADP agent declaratively through the create form. No Python or JavaScript code required.

-   [Register Your Own Agent (BYOA)](https://docs.redpanda.com/agentic-data-plane/connect/byoa-register/)

    Register a self-managed agent so it appears in the ADP agent registry, with its telemetry and cost attributed alongside managed agents.

-   [Trigger Agents from External Channels](https://docs.redpanda.com/agentic-data-plane/connect/triggers/overview/)

    Triggers connect a deployed agent to the outside world, so people and systems can invoke it without calling its API directly.