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Free Lesson

Memory for LLM Agents: From Context to Durable State

60 min
Feb 27, 2026 12:00 PM
Virtual (Zoom)

In this video

What you'll learn

Memory Architecture for Agents

Understand the layers of agent memory: working context, episodic traces, long-term state, and external knowledge.

Context Engineering in Practice

Techniques for converting raw interaction history into structured, retrievable state.

Retrieval and Swapping Strategies

How search, ranking, and context window management enable scalable memory systems.

Operational Mechanics

Practical considerations including caching, deduplication, eviction, and invalidation of stale facts.

Why this topic matters

Without reliable memory, agents remain short-lived and brittle. Robust memory systems enable continuity, personalization, and long-horizon reasoning—unlocking more capable, trustworthy, and production-ready agentic applications. As LLM systems evolve beyond single interactions, memory becomes foundational infrastructure rather than an optional feature.

You'll learn from

Amir Feizpour

Amir Feizpour

Founder @ Aggregate Intellect

Suhas Pai

Suhas Pai

CTO @ Hudson Labs

See all products from aggregate intellect