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
Founder @ Aggregate Intellect

Suhas Pai
CTO @ Hudson Labs
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