Enhance README with Cognee description

Added a brief description of Cognee's features and capabilities.

README.md

@@ -66,13 +66,10 @@ Use your data to build personalized and dynamic memory for AI Agents. Cognee let
 ## About Cognee
 
 Cognee is an open-source tool and platform that transforms your raw data into persistent and dynamic AI memory for Agents. It combines vector search with graph databases to make your documents both searchable by meaning and connected by relationships. 
+Cognee offers default memory creation and search which we describe bellow. But with Cognee you can build your own!
 
-You can use Cognee in two ways:
 
-1. [Self-host Cognee Open Source](https://docs.cognee.ai/getting-started/installation), which stores all data locally by default.
-2. [Connect to Cognee Cloud](https://platform.cognee.ai/), and get the same OSS stack on managed infrastructure for easier development and productionization. 
-
-### Cognee Open Source (self-hosted):
+### Cognee Open Source:
 
 - Interconnects any type of data — including past conversations, files, images, and audio transcriptions
 - Replaces traditional RAG systems with a unified memory layer built on graphs and vectors
@@ -80,11 +77,6 @@ You can use Cognee in two ways:
 - Provides Pythonic data pipelines for ingestion from 30+ data sources
 - Offers high customizability through user-defined tasks, modular pipelines, and built-in search endpoints
 
-### Cognee Cloud (managed):
-- Hosted web UI dashboard 
-- Automatic version updates 
-- Resource usage analytics
-- GDPR compliant, enterprise-grade security
 
 ## Basic Usage & Feature Guide