Giving AI Agents Memory: A 6-Part Series

AI agents that forget everything between sessions repeat the same mistakes. This series looks at what changes when an agent can remember, and how to build that memory without overcomplicating it.

Here are all six articles, in reading order:

1. Failed Fix Warnings: how an agent can flag fixes that already failed before
   https://go.fliplink.me/view/FC9DE082-343F-4E84-97F7-C8C2F4B0EEC0

2. With vs. Without Memory: a side-by-side comparison of the same agent with and without memory
   https://go.fliplink.me/view/F98B3DB1-CE08-42DF-8166-DB7E7E68279C

3. Reflecting on Recurring Patterns: spotting problems that keep coming back
   https://go.fliplink.me/view/394848D4-5588-41DE-971B-79208046B66E

4. Same Incident Two Answers: with and without hindsight
   https://hidden-cloud-390.linkyhost.com

5. Skipping the Vector Database: memory without extra infrastructure
   https://go.fliplink.me/view/CA7F8323-D2EA-47DE-BA93-FFC05FD30821

6. Admitting What It Doesn't Know: teaching an agent to say when it's unsure
   https://go.fliplink.me/view/682FF1F7-B762-4639-BBE7-B0925EBFD157

Thanks for reading! Let me know in the comments which one was most useful.