As of November 2025, Harrison Chase’s introduction of the Deep Agents CLI with Memory provides a practical solution for AI Product Managers looking to streamline workflow processes by automating repetitive tasks and retaining crucial contextual instructions. Here’s how you can implement this tool:
1. Install the CLI: Begin by installing the Deep Agents CLI from the deepagents package, following the provided documentation to ensure a smooth installation and setup. 2. Utilize Persistent Memory: Configure the CLI to take advantage of its persistent memory feature, which allows you to store guidelines and command contexts over multiple sessions. This means that once you establish a set of instructions, the tool can recall and use them for subsequent tasks, reducing the need for repetitiveness. 3. Automate Routine Tasks: Identify repetitive tasks in your workflow such as meeting summaries, progress updates, or iterative feature reviews. Script these tasks through the CLI so that it can execute them automatically while retaining important contextual details. 4. Regularly Validate Context: Periodically review the stored guidelines to ensure they remain accurate as your projects evolve. This iterative process helps maintain the reliability of the automated workflows.
Preliminary reports from early adopters in November 2025 indicate improved efficiency in agile sprint planning and feature update management, as the CLI drastically cuts down the time spent on manual inputs. Although comprehensive case studies are still emerging, the ability to automate and remember detailed instructions positions the Deep Agents CLI as a valuable tool in a modern AI PM’s toolkit.