Been exploring AI agents lately, and one thing stands out:
It’s not the model that breaks most systems…
it’s bad memory + poor context handling.
We’ve been obsessing over prompts, but the real shift is:
👉 Prompt Engineering → Context Engineering → Memory
Found this interesting project while digging into it:
Project
It focuses on storing episodes instead of just summaries, which honestly feels closer to how real intelligence should work.
Curious what others think:
Is memory the missing piece in AI agents?
If you're into this space, check it out and maybe drop a ⭐ if it’s useful.
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