Memory in Glean agents lets your agent keep track of what’s happened so far as it runs through its workflow. Think of memory as a “notebook” that your agent uses to remember inputs, outputs, and important information from each step.
As your agent follows its instructions, it saves the details and results from every step in its memory. This means later steps can use what you or previous steps have already provided or discovered, without asking for it again.
You can control how each step in your agent uses memory. By managing memory on a per-action basis, you decide how much information from earlier steps should be available to the AI when it carries out a specific action. This can help your agent focus only on what’s relevant, especially in complex workflows or when you want to reduce the amount of data sent for each step.
Memory in Glean agents lets your agent keep track of what’s happened so far as it runs through its workflow. Think of memory as a “notebook” that your agent uses to remember inputs, outputs, and important information from each step.
As your agent follows its instructions, it saves the details and results from every step in its memory. This means later steps can use what you or previous steps have already provided or discovered, without asking for it again.
You can control how each step in your agent uses memory. By managing memory on a per-action basis, you decide how much information from earlier steps should be available to the AI when it carries out a specific action. This can help your agent focus only on what’s relevant, especially in complex workflows or when you want to reduce the amount of data sent for each step.