🧐 Memory for AI Agents in 6 lines of code

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✅ Totally worth checking!

Cognee let's you build memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines.

Sending large volumes of data to AI agents often leads to bloat and hallucinations. Cognee connects data points and establishes ground truths to improve the accuracy of your AI agents and LLMs.

Key Features:

Interconnect and retrieve your past conversations, documents, images and audio transcriptions
Replaces RAG systems and reduces developer effort, and cost.
Load data to graph and vector databases using only Pydantic
Manipulate your data while ingesting from 30+ data sources
Local UI with interactive notebooks for easy data loading, graph visualization, and querying

It also supports continuous improvement through a feedback mechanism that captures the relevance of search results from real user interactions.

Over time, this feedback directly updates the knowledge graph, helping your agents adapt and provide increasingly accurate responses.

It's 100% Open Source ✊🏻

Check out the Github repo

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