oms-cognee

Overview

Cognee is an open-source knowledge-graph memory engine for AI agents. It combines a vector store (semantic search), a graph store (entities + relationships), and a relational store (provenance) into a single three-layer memory architecture. The canonical V1 workflow is add → cognify → search: ingest data, build a knowledge graph, then query it. The new V2 memory-oriented API wraps this as remember → recall with an optional improve/forget/serve/agent_memory layer for agent contexts.

• Source: topoteretes/cognee @ v1.0.0 (commit 3c048aa4) [SRC:pyproject.toml:L4]
• Language: Python >=3.10, <3.14 [SRC:pyproject.toml:L10]
• Forge tier: Deep (AST + ccc + QMD + docs fetch)
• Public exports: 34 top-level names in cognee/__init__.py [AST:cognee/__init__.py:L1]
• Confidence: All T1 (AST-verified from source clone)
• Async model: Cognee is async-first — nearly all top-level functions are coroutines and must be awaited [EXT:https://docs.cognee.ai/getting-started/quickstart]

Quick Start

import asyncio
import cognee
from cognee import SearchType