Category:
Category:
Agent Memory
Category:
Agentic AI & Orchestration
Definition
Memory systems allowing agents to store and recall information across steps or sessions.
Explanation
Agent memory provides continuity for multi-step reasoning. Since LLMs are stateless, memory layers store semantic or episodic data. This allows agents to track prior actions, decisions, retrieved context, user preferences, and workflow states. Memory can be implemented via vector stores, structured databases, or hybrid hierarchies. It is essential for autonomous agents performing iterative or long-running tasks.
Technical Architecture
Task → Memory Write → Memory Store (Vector DB / KV Store) → Memory Retrieve → Next Agent Step → Output
Core Component
Semantic memory, episodic memory, long-term store, short-term buffer, embedding model, retrieval interface
Use Cases
Customer support agents, research agents, personalization workflows, multi-step enterprise automation
Pitfalls
Memory drift, storing incorrect data, privacy leakage, retention of harmful outputs, regulatory compliance challenges
LLM Keywords
Agent Memory, Persistent Memory, Semantic Recall, Episodic Memory Systems
Related Concepts
Related Frameworks
• Vector DB
• Embeddings,
• Agents
• Tool Use
• Planning
• Agent Memory Architecture
• Memory Read/Write Flow