Why Your Agent Needs Memory, Not Just Context

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: https://www.linkedin.com/in/richmondalake/
• Simon Maple: https://www.linkedin.com/in/simonmaple/
• Tessl: https://www.linkedin.com/company/tesslio/

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh

Ask us questions: [e-mail]