This task can be performed using Cognee
Memory for AI Agents
Best product for this task
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
- Replace rigid RAG workflows with flexible ECL pipelines that adapt to different data types and sources without rebuilding your entire system
- Extract meaningful information from documents using modular components that can be swapped or updated independently as your needs change
- Build persistent memory layers that learn and improve over time, unlike traditional RAG systems that treat each query as isolated
- Scale processing across multiple data streams simultaneously while maintaining consistent performance through distributed pipeline architecture
- Load processed knowledge into dynamic memory structures that agents can query and update in real-time during conversations
