Cognee
Createdtopoteretes
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
About
Cognee is a memory layer designed for AI applications and agents, offering scalable, modular Extract, Cognify, Load (ECL) pipelines to build dynamic agent memory. It focuses on interconnecting and retrieving past conversations, documents, images, and audio transcriptions, reducing hallucinations, development effort, and costs. Cognee allows users to load data into graph and vector databases using Pydantic, manipulate data during ingestion from various sources, and ultimately build more reliable AI agent responses.
Key Features
- Reduces hallucinations, developer effort, and cost.
- Manipulates data while ingesting from 30+ data sources.
- Interconnects and retrieves past conversations, documents, images and audio transcriptions.
- Loads data to graph and vector databases using only Pydantic.
- Builds dynamic Agent memory using scalable, modular ECL (Extract, Cognify, Load) pipelines.
Use Cases
- Building AI Agents with reliable memory
- Reducing AI hallucinations with contextual awareness
- Enhancing AI application accuracy through knowledge retrieval