Скачать или смотреть Build an Agent That Learns From Its Own Mistakes

Not onboarding your agent is on you.

Richmond Alake, Director of AI Developer Experience at Oracle, joins Simon Maple to make the case that most agent failures come down to one thing: memory. Not the model, not the infrastructure. Memory.

On the docket:

• why skills are just SOPs your organisation already has written down
• the job title that is replacing prompt engineers
• file systems vs databases for agent memory (and why one gets you hacked)
• the memory trick that makes agents feel actually intelligent
• why the agent loop and training loop are about to become one

The developers who figure this out first are going to be very hard to compete with.

Connect with us here: 
Richmond Alake:   / richmondalake  
Simon Maple:   / simonmaple  
Tessl:   / tesslio  

(00:00) Trailer
(01:03) Introduction and guest welcome
(04:02) Defining agent memory
(05:14) From prompt to context engineering
(09:18) Skills as SOPs for agents
(13:25) What agents need to succeed
(16:06) Getting agents to the right data
(20:18) Security and data privacy
(26:10) Context lifecycle and forgetting
(33:13) Multi-team context sharing
(35:25) File system vs database storage
(38:33) Future of context engineering