How to Add Long-Term Memory to AI Agents in 2026
A comprehensive technical guide to giving AI agents persistent memory that survives across sessions, using vector search, embedding models, and the MCP protocol.
Technical deep-dives, tutorials, and guides on AI memory, MCP servers, RAG architectures, and building AI agents that actually remember.
A comprehensive technical guide to giving AI agents persistent memory that survives across sessions, using vector search, embedding models, and the MCP protocol.
Step-by-step tutorial on connecting Claude Desktop and Claude Code to a persistent memory layer using the Model Context Protocol (MCP).
An in-depth comparison of memory architectures for AI systems — from naive RAG to advanced persistent context engines — and when to use each approach.
Understand why large language models lose context between sessions and explore practical strategies to give them reliable long-term memory.
A hands-on setup guide for running an MCP memory server and connecting it to Claude, Cursor, VS Code Copilot, Windsurf, Cline, and other AI tools.
System diagrams, database schema, and infrastructure deep-dive.
Latency, accuracy, and scale metrics with competitive comparisons.
Every feature, improvement, and fix shipped to PersistMemory.
Stop losing context between sessions. PersistMemory gives every AI tool you use searchable, persistent memory.