Memory separates a basic script from a smart agent.
But too much memory makes agents slow, confused, or even useless. At AgentNet, we design agents that remember just enough — and forget everything else on purpose.
Think of agent memory like packing for a mission.
You don’t carry the whole house — you carry what’s useful.
🧠 Three Levels of Memory (AgentNet Style)
◆ Working Memory – Fast, disposable, now-only.
Like remembering a phone number just long enough to dial it.
Example: A to-do bot hears “Add eggs to the list,” and holds that info just long enough to write it down. After that? Gone.
◆ Intermediate Memory – Cached between steps.
Great for multi-hop interactions or workflow context.
Example: A shopping agent remembers your cart across five pages, but clears it after checkout or inactivity.
◆ Long-Term Memory – Stable, retrievable, structured.
Indexed memory that lives in a database or vector store.
Example: A sales agent recalls prior deals by customer name and recommends similar options. You didn’t re-teach it — it learned.
🔎 Best Practices
- Don’t hoard. Keep what’s meaningful. Discard noise.
- Scope your recall. Ask: "What should I remember... and when?"
- Index smartly. Use tags, timestamps, or role-based segmentation.
🌟 Final Thought
An agent that remembers is an agent that grows.
But memory is a burden too — so design it with care.
Originally published on AgentNet
Top comments (1)
Interesting read!