Building Agents? Watch Memento

LLMs sound like humans – so we often end up instructing them as if they experience the world like us.

But there’s a subtle difference – especially when used as Agents.

👀 Humans experience a continuous stream of input and reasoning.

We build tiny hypotheses along the way:

“Let me hover over the tooltip to see what this button is for.”

It’s a loop of sense → reason → act, in continuity.

🧠 Agents, on the other hand, live in snapshots:

See screen → Decide → Act → See new screen.

They’re like a human who:

• Looks at the screen
  
• Writes a letter to a controller to perform an action
  
• Closes their eyes while it’s happening ← VERY IMPORTANT
  
• Opens their eyes to a new scene – with no memory of the past
  

The only continuity? 📝

A notepad on the table – a few scribbled notes before they “𝑏𝑙𝑎𝑐𝑘𝑒𝑑 𝑜𝑢𝑡.”

So we asked ourselves:

“If this were me, how would I use that notepad?”

We’d been giving agents summaries of prior steps – but something was still missing.

So we made a small tweak to the prompt:

👉 “Write a note to your future self”

Result: the agent now jots down whatever it wants its future self to know, such as:

• What hypothesis it’s testing
  
• Why it chose this action
  
• What to look for in the new state
  

So in the next iteration when it wakes up, it knows: “What was I thinking?”

That single line — “Write a note to your future self” —

gave our agent a memory-like thread.

A small change. A big leap in clarity and navigation. 🚀

#AI #Agents #LLM #StartUp #BuildInPublic #AgenticAI