diff --git a/404.html b/404.html index b5470adf28..bdf978b739 100644 --- a/404.html +++ b/404.html @@ -23,7 +23,7 @@ - + diff --git a/about-langflow.html b/about-langflow.html index e583c39ab4..0c81fbc7fe 100644 --- a/about-langflow.html +++ b/about-langflow.html @@ -23,7 +23,7 @@ - + diff --git a/agent-tutorial.html b/agent-tutorial.html index 15328194b1..00b08bfdfa 100644 --- a/agent-tutorial.html +++ b/agent-tutorial.html @@ -23,7 +23,7 @@ - + diff --git a/agents-tools.html b/agents-tools.html index 9732b9b914..0d57b56ecc 100644 --- a/agents-tools.html +++ b/agents-tools.html @@ -23,7 +23,7 @@ - + diff --git a/agents.html b/agents.html index 72143a0b9b..e26482ae8b 100644 --- a/agents.html +++ b/agents.html @@ -23,7 +23,7 @@ - + @@ -130,6 +130,21 @@ For more information, see Agent instructions and input​

In the Agent Instructions (system_prompt) field, you can provide custom instructions that you want the Agent component to use for every conversation.

These instructions are applied in addition to the Input (input_value), which can be entered directly or provided through another component, such as a Chat Input component.

+

Agent memory​

+

Langflow Agents have built-in memory enabled by default that allows them to remember previous messages in a conversation. +This memory acts as a rolling chat history window, ensuring the Agent can reference earlier exchanges and maintain context without requiring a separate Message History component.

+

The Agent’s internal chat history is stored in the Langflow database, just like the Message History helper component. +The default storage option in Langflow is a SQLite database stored in your system's cache directory:

+ +

If your Langflow deployment has LANGFLOW_DATABASE_URL set to PostgreSQL, the Agent memory will use the PostgreSQL database. +Each conversation is associated with a session ID, so messages are grouped and retrieved per session. +This means your chat history is saved and can be accessed or retrieved later, even if you refresh or revisit the flow.

+

The number of stored messages can be configured in the Number of Chat History Messages field in the Agent component.

Tools​

Agents are most useful when they have the appropriate tools available to complete requests.

An Agent component can use any Langflow component as a tool, including other agents and MCP servers.

@@ -150,7 +165,7 @@ For example, some models support additional modes, arguments, or features like c

Agent component output​

The Agent component outputs a Response (response) that is Message data containing the agent's raw response to the query.

Typically, this is passed to a Chat Output component to return the response in a human-readable format. -It can also be passed to other components if you need to process the response further before, or in addition to, returning it to the user.