Inside LinkedIn's cognitive memory agent for agentic personalization
Ryan talks with LinkedIn Principal AI Researcher Praveen Bodigutla about a four-layer memory system designed to give LinkedIn’s hiring assistant persistent, personalized state for better user interactions and continuity.
MAIN POINTS
- Praveen Bodigutla is a Principal AI Researcher at LinkedIn.
- The discussion centers on a four-layer memory system.
- The system powers LinkedIn’s hiring assistant.
- Its goal is persistent, personalized state across interactions.
TAKEAWAYS
- Memory architecture can make AI assistants feel more consistent over time.
- Personalization depends on retaining useful context across sessions.
- Multi-layer designs help organize different kinds of remembered information.
- Hiring assistants benefit from continuity in user preferences and history.