Memgraph

Memgraph is an in-memory graph database that stores and connects structured context for AI memory and real-time analytics.

Memgraph is an in-memory graph engine designed for GraphRAG, AI memory, agentic AI, and real-time graph analytics. It stores semantic, episodic, and procedural memory as a unified graph that AI systems can query in milliseconds. The platform uses the Cypher query language and integrates with Python client libraries, LangChain, and LlamaIndex. It is built in C++ and handles workloads such as fraud detection, identity and access management, and network modeling. Teams can migrate from Neo4j using familiar interfaces and protocols, choosing between a free open-source community edition and an enterprise edition.

Memgraph at a glance

Best for: Software engineer
Runs on: Linux, self-hosted, open source, API
Pricing: Community Edition: Free, forever, open source; Enterprise Edition: Priced on memory capacity with custom quotes
Released: September 2020
Category: AI coding tool
Website: memgraph.com

Key features

Cypher query language
Stream connectors for Kafka, Pulsar, and Redpanda
Vector search capabilities
MAGE algorithm library
ACID transactions with on-disk persistence
Role-based and label-based access control
Automatic failover and replication

Use it for

Building GraphRAG and AI memory systems
Detecting fraud in real-time pipelines
Managing permissions in IAM systems
Modeling multi-tier supplier networks

Alternatives to Memgraph

claude-mem — It shares persistent, searchable agent memory across sessions and devices.
MemPalace — Achieves high recall with local-first storage and zero API calls.
M-Flow — It achieves a 93.7 percent top-one hit rate using a conical memory architecture.
MemMachine — Provides long-term persistent memory for LLM-based agents.
Memvid — Single-file architecture replaces complex RAG pipelines with portable storage.
Mem0 — It provides drop-in persistent memory for AI agents without changing pipelines.
Memdebug — Tracks AI agent memory in a tamper-evident ledger and rolls it back safely.
memsearch — It shares continuous context across Claude Code, Codex, and other AI coding agents.
Cognee — Persistent memory for AI agents using graph, vector, and relational retrieval.
ProjectMem — Records project history locally to prevent AI from repeating failed work.
CodeGraph — It eliminates file crawling, reducing AI agent tool calls by 88% and cutting costs.
memU — It gives every connected agent a shared and inspectable memory layer.

All Memgraph alternatives