The Complete Guide to AI Agent Memory Systems
Everything about AI agent memory — conversation buffers, knowledge graphs, vector databases, and hybrid systems.
Without memory, every AI conversation starts from scratch. This guide covers approaches to AI agent memory.
Types of Memory
1. Conversation Buffer
Store the last N messages. Fast but limited by context window.
2. Summary Memory
Periodically summarize older conversations.
3. Vector Memory
Embed interactions as vectors for semantic search. Used by Mem0.
4. Knowledge Graph
Store as entities and relationships. Used by Memory MCP server.
5. Hybrid Memory
Combine multiple approaches for production systems.
MCP Memory Servers
Start with simple buffer memory and add complexity as needed. Browse MCP servers for options.