Why Your Agent Needs Memory, Not Just Context
Why Your Agent Needs Memory, Not Just Context
Why Your Agent Needs Memory, Not Just Context
Unprocessed episode, you can be the first!
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:
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: podcast@tessl.io
Ask us questions: podcast@tessl.io
