MemoryStack

Memory layer for agents that works like human. Connect with anything — Read the Docs.

🧠 What is MemoryStack?

MemoryStack is a semantic memory infrastructure that gives AI applications the ability to remember, learn, and adapt—just like human memory. Built for developers creating AI agents, chatbots, and multi-agent systems, it provides persistent memory that doesn't just store information, but actively learns from it.

The Problem We Solve

Traditional AI applications suffer from "memory amnesia"—they forget context between sessions, can't learn from patterns, and fail to adapt to user preferences. This leads to repetitive conversations, inability to personalize, and fragmented context in multi-agent systems.

How MemoryStack Works

Unlike simple vector databases or key-value stores, MemoryStack implements a complete cognitive cycle inspired by human memory:

Traditional Memory Systems:

"I remember you like coffee"

MemoryStack:

"I learned you have a morning coffee routine between 7:45-8:15am on weekdays. Your preference evolved from tea to coffee over the past month. Would you like me to suggest your usual order at 7:50am tomorrow?"

This is —the system doesn't just recall facts, it discovers patterns, detects contradictions, and generates insights that enable truly intelligent AI behavior.