--- 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. ## 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)