Key takeaways
- Attach memory to the agent itself and what it learns lasts across every chat.
- Per-agent memory keeps each agent expert in one lane instead of a vague generalist.
- Store 4 things: who you are, who it serves, your rules, and its one job.
- Grow memory from corrections: fix it once in memory and the re-asking stops.
- Keep it small: durable facts in memory, task details in the chat.
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Questions people ask
How is agent memory different from a memory file for the desktop app?
Does Buzz ship memory as a native feature today?
What should I put in an agent's memory?
Do I have to write it perfectly up front?
Will one agent's memory leak into another's?
Can a memory get too big?

Ronnie spent 18 years building a SaaS with a team of 20 that served over 650,000 customers, generated over $14M in sales, and sent over 550M emails. Now he's solo, solving real business bottlenecks and turning them into working AI skills, workflows, and automations. He teaches all of it, with direct access to him, inside the Solo Creators AI Studio Skool community. See what he's built →
Michael HattawayFounder, Iron Strengthens Iron