Cognee

Turns your data into a structured knowledge graph and stores it in memory. Accepts text, documents, or other data inputs and builds queryable graph representations.

Ingests core developer rule files (e.g. coding standards, project conventions) into memory so they can be retrieved and enforced during development sessions.

Analyses a code repository, builds a code graph capturing relationships between files, functions, and modules, and stores it in memory for intelligent code navigation.

Removes specific data items from cognee datasets. Supports both soft deletion (mark as deleted) and hard deletion (permanently remove) modes.

Retrieves all developer rules that were previously ingested, generated from past interactions, and stored in memory.

Lists all datasets and their data items with their IDs, useful for inspecting stored memory contents before performing deletion or search operations.

Logs user-agent interactions and query-answer pairs to memory, enabling the system to learn from past conversations and improve future responses.

Resets cognee completely, removing all stored data and graphs for a fresh start. Use with caution as this operation is irreversible.

Queries stored memory using multiple strategies: GRAPH_COMPLETION, RAG_COMPLETION, CODE, CHUNKS, SUMMARIES, CYPHER, and FEELING_LUCKY. Returns relevant information from the knowledge graph.

Tracks the progress of an ongoing cognify pipeline operation, reporting current processing stage and completion percentage.

Tracks the progress of an ongoing codify (code graph building) pipeline operation.