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Agents

docs/versioned_docs/version-1.8.0/Components/components-agents.mdx

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Langflow's Agent component is critical for building agent flows. This component defines the behavior and capabilities of AI agents in your flows.

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Examples of agent flows

For examples of flows using the Agent component, see the following:

  • Langflow 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: Create a multi-agent flow.

  • Use Langflow as an MCP client and Use Langflow as an MCP server: Use the Agent and MCP Tools component 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.

For more information about using this component, see Use Langflow agents.

See also