Connecting Notion to Cognee: Building Long-Term Memory for AI Agents

Description and use

Integrating Notion with Cognee enables AI agents to retain context by automatically ingesting documents and building a knowledge graph.

Problem

AI agents often lose context across sessions.

Outcome

Seamless knowledge graph memory is added to any Cognee agent working with Notion documents.

Workflow

• Develop NotionLoader using the official notion-client Python SDK
• Fetch pages and databases from Notion
• Extract text content from each page
• Pass extracted content to Cognee’s ingestion pipeline
• Add content to Cognee with cognee.add()
• Invoke cognee.cognify() to build the knowledge graph

Evidence

AI agents often lose context across sessions. By integrating Notion with Cognee, agents can automatically ingest workspace documentation and convert it into an interconnected Knowledge Graph.

Source

I developed NotionLoader using the official notion-client Python SDK. It fetches pages and databases, extracts text content, and passes it to Cognee's ingestion pipeline.

Source

cognee.cognify() This brings seamless knowledge graph memory to any Cognee agent working with Notion documents!

Source