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langflow/docs/versioned_docs/version-1.8.0/Components/components-agents.mdx
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Co-authored-by: Adam-Aghili <149833988+Adam-Aghili@users.noreply.github.com>
2026-03-18 20:03:49 +00:00

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---
title: Agents
slug: /components-agents
---
import PartialAgentsWork from '@site/docs/_partial-agents-work.mdx';
Langflow's **Agent** component is critical for building agent flows.
This component defines the behavior and capabilities of AI agents in your flows.
<PartialAgentsWork />
## Examples of agent flows
For examples of flows using the **Agent** component, see the following:
* [Langflow quickstart](/get-started-quickstart): Start with the **Simple Agent** template, modify its tools, and then learn how to use an agent flow in an application.
The **Simple Agent** template creates a basic agent flow with an **Agent** component that can use two other Langflow components as tools.
The LLM specified in the **Agent** component's settings can use its own built-in functionality as well as the functionality provided by the connected tools when generating responses.
* [Use an agent as a tool](/agents-tools#use-an-agent-as-a-tool): Create a multi-agent flow.
* [Use Langflow as an MCP client](/mcp-client) and [Use Langflow as an MCP server](/mcp-server): Use the **Agent** and [**MCP Tools** component](/mcp-tools) to implement the Model Context Protocol (MCP) in your flows.
## Agent component {#agent-component}
The **Agent** component is the primary agent actor in your agent flows.
This component uses an LLM integration to respond to input, such as a chat message or file upload.
The agent can use the tools already available in the base LLM as well as additional tools that you connect to the **Agent** component's **Tools** port.
You can connect any Langflow component as a tool, including other **Agent** components and MCP servers through the [**MCP Tools** component](/mcp-tools).
For more information about using this component, see [Use Langflow agents](/agents).
## See also
* [**MCP Tools** component](/mcp-tools)
* [**Message History** component](/message-history)
* [Store chat memory](/memory#store-chat-memory)
* [Bundles](/components-bundle-components)
* [Legacy LangChain components](/bundles-langchain#legacy-langchain-components)