cognee

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Memory for AI Agents in 5 lines of code
#ai #cognitive-architecture #vector-database #openai #rag #ai-agents #graph-database #ai-memory #cognitive-memory #neo4j #knowledge #knowledge-graph #graph-rag #graphrag #contributions-welcome #good-first-issue #good-first-pr #help-wanted #open-source

Overview

What is cognee

Cognee is a tool designed to provide memory capabilities for AI agents, allowing them to retain and recall information efficiently with just five lines of code.

How to Use

To use Cognee, you simply need to integrate it into your AI agent's codebase. Follow the documentation on the GitHub repository to set it up and start utilizing its memory features.

Key Features

Key features of Cognee include ease of integration, minimal code requirement (only five lines), dynamic memory management for agents, and support for various AI applications.

Where to Use

Cognee can be used in various fields such as AI development, machine learning projects, chatbots, virtual assistants, and any application requiring memory for intelligent agents.

Use Cases

Use cases for Cognee include enhancing chatbot interactions by remembering user preferences, improving virtual assistants' contextual understanding, and enabling AI agents to learn from past interactions.

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