Memory of Agentic AI: Understanding Architect Implementing Optimization

What is Memory Agentic AI?

Agentic memory is a system that allows an AI agent to store, recall, and use information across many interactions. This is the mechanism that enables continuity, learning, and context awareness over time. It lets an agent adapt, personalize its responses, and reflect on past events and decisions to guide its future reasoning.

Types of Agentic AI Memory

• main type of memory:
• Short-term memory – Maintains context within a single session, tracking the current conversation flow and recent interactions
• Long-term memory – Stores information across multiple sessions, enabling agents to remember user preferences, past decisions, and historical context for future conversations
• Working memory
• Short-term memory
• Long-term memory
• Episodic memory
• Semantic memory
• Procedural memory

Frameworks for agentic AI memory

• LangChain
• LangGraph

Build of Memory Agentic AI:

How to Build Memory-Powered Agentic AI That Learns Continuously Through Episodic Experiences and Semantic Patterns for Long-Term Autonomy

What is the Role of Memory in Agentic AI Systems? Unlocking Smarter, Human-Like Intelligence

Build smarter AI agents: Manage short-term and long-term memory with Redis