Memory is ok when it's explicitly created/retrieved as part of a tool, and even better if the tool is connected to your knowledge bases rather than just being silod. Best of all is to create a knowledge agent that can synthesize relevant instructions from memory and knowledge. Then take a team of those and use them on a partitioned dataset, with a consolidation protocol, and you have every deep research tool on the market.
I agree. I use this approach in my coding agent, and it works wonderfully to keep context across sessions: https://docs.cline.bot/prompting/cline-memory-bank
Even though the above link is from Cline, you can use this approach with any coding agent.