How to build dynamic memory systems for AI agents

How to build dynamic memory systems for AI agents

This task can be performed using Cognee

Memory for AI Agents

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cognee

Cognee

dev-tools

Build dynamic memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines.

What to expect from an ideal product

  1. Replace traditional RAG systems with ECL pipelines that extract, process, and load information in a way that mimics how human memory actually works
  2. Build memory systems that grow and adapt over time instead of relying on static knowledge bases that quickly become outdated
  3. Create modular components that can be mixed and matched depending on what your AI agent needs to remember and how it needs to access that information
  4. Scale your agent's memory horizontally by adding new pipeline stages without rebuilding the entire system from scratch
  5. Give your agents the ability to form connections between different pieces of information, just like how our brains link related memories together

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