A high-performance in-memory graph database for GraphRAG and real-time graph analytics, featuring built-in vector indexes and the MAGE algorithm library.
Memgraph is a high-performance in-memory graph database powered by C++, specifically designed for GraphRAG, AI agent memory, and real-time graph analytics. Its core architecture is based on an in-memory storage engine that achieves sub-millisecond graph traversals, while maintaining full compatibility with the openCypher query language to facilitate seamless migration for Neo4j users.
In terms of AI integration, Memgraph natively incorporates vector, full-text, and geospatial indexes, enabling hybrid retrieval of graph structures and vector similarities within a single Cypher query (Atomic GraphRAG). Coupled with a built-in MCP Server and AI Toolkit, it seamlessly integrates with mainstream agent frameworks like LangChain and LlamaIndex. Through the MAGE algorithm library, users can directly invoke over 40 graph algorithms (including CUDA-accelerated GNNs and graph embeddings). SHOW SCHEMA INFO provides real-time schema introspection to support Text2Cypher conversion.
Regarding data flow and extensibility, Memgraph supports real-time streaming ingestion from message queues like Kafka, Pulsar, and RedPanda, with native parsing capabilities for formats such as Parquet, JSONL, and CSV (from local disk, S3, or HTTP endpoints). Its query engine supports custom extension modules written in Python, Rust, or C/C++, along with parallel query execution (USING PARALLEL EXECUTION). The project utilizes a CMake + Conan build system, combined with Gherkin BDD and static analysis tools (clang-format, clang-tidy, SonarCloud) to ensure engineering quality. The project is highly active, with the latest release being v3.9.0 (59 releases, 4,941 commits).
Enterprise features include Raft-based high availability with automatic failover, multi-tenant database isolation, role- and label-based node/edge-level fine-grained access control (30+ permissions), SSO integration, transport encryption, and backup/recovery.
The distribution model includes both Community and Enterprise editions. The Community Edition is released under the Business Source License 1.1 (BSL 1.1, exact conversion date TBD), while the Enterprise Edition is governed by the Memgraph Enterprise License (MEL). It supports various deployment modalities including Docker, Kubernetes (via Helm), native package managers (Debian/Ubuntu/CentOS/Fedora/Red Hat), Memgraph Playground (browser sandbox), and Memgraph Cloud (AWS-managed, 6 regions).
Unconfirmed information: BSL 1.1 exact conversion date; specific performance benchmark data (TPS/latency); Memgraph Cloud pricing model; Memgraph Zero federated query feature maturity.