Memgraph

https://memgraph.com/

In-memory GraphRAG engine. Memgraph 3.0 adds native vector search alongside graph traversal. LangChain toolkit.

Active · Verified 2026-10-26 · fresh as of 2026-10-26 · 53 cited facts, 4 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T2
Created
2016 vendor fix
Latest release
not applicable — not OSS fix
Pricing
Free + paid vendor fix
Funding
$14M Seed · 2023-12 third-party fix
Freshness
2026-10-26 fix
Layer
model-infra repo fix
Licensing
commercial repo fix
Deployment locus
hybrid vendor fix
Platform vs product
platform vendor fix
Accelerator
techstars-2016 third-party fix
Protocols
mcp-server repo fix

When to use

Optimised for: relationship modeling + reasoning + governance over pure vector

Anti-fit: not for purely-vector or simple-RAG use cases (graph adds setup cost)

Pros & cons

Pros

In-memory graph DB optimized for real-time analytics; Cypher-compatible.

Cons

Smaller community than Neo4j; in-memory cost limits scale.

Claims & capabilities

Used by NASA and Cedars-Sinai for GenAI knowledge graphs.

Technical surface

API surface
Bolt, Cypher, SDK: many
Backend storage
custom (in-memory native graph)
Deployment
Both
Embedding model
BYO
Multi-tenancy
hard-isolation
MCP
yes — official MCP server in memgraph/ai-toolkit
A2A
no Google A2A (Agent2Agent) integration documented as of 2026-05.
OpenTelemetry
first-class — Prometheus + OTel

Similar systems

Other knowledge-graph platforms in the catalog, ranked by inbound references.

  • Neo4j T1

    Property graph DB with Cypher; native vector search; Aura Agent + MCP server for graph-as-memory. $100M GenAI investment in 2025.

  • Amazon Neptune Analytics T1

    Vector index on graph nodes queryable via openCypher. Mem0 integration GA 2025; Cognee integration for agentic RAG. Combines semantic recall with multi-hop traversal in one managed service.

  • FalkorDB T2

    Native GraphRAG SDK. Graph-memory backend for Mem0; MCP server via Graphiti integration; context graphs for long-term agent memory.

  • ArangoDB T1

    HybridGraphRAG combines vector search, graph traversal, full-text in one AQL query. ArangoGraphML for ML pipelines; LangChain integration. The company now brands itself Arango (Arango Contextual Data Platform unifying graph, vector, document and search), with ArangoDB as its database.

  • Kuzu T2

    Embedded property-graph database (Cypher) with a built-in vector index and full-text search, widely used as an embedded store for agent memory and GraphRAG. The kuzudb/kuzu repository was archived on 2025-10-10 after Apple acquired the company; 0.11.3 is the final release and earlier releases remain usable.

  • Diffbot T1

    Auto-built knowledge graph from web crawl. 1T+ facts, 10B+ entities. GraphRAG-fine-tuned model based on open-source Llama 3.3.

Sources (52 cited facts, 4 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-26
    • License “not applicable — not OSS” → “BSL-1.1 (source-available, Community); Enterprise under proprietary MEL” source
    • MCP support “via official adapter — Memgraph MCP” → “yes — official MCP server in memgraph/ai-toolkit” source
    #258

Related systems

References (1)

  • LangChain (framework) integrates with — Memgraph 3.0 adds native vector search alongside graph traversal. LangChain toolkit.

Referenced by (2)

  • LangChain (framework) integrates with — LangChain docs have a Memgraph integration provider page (Real-time graph database platform). (verified 2026-10-29)
  • LlamaIndex (framework) integrates with — LlamaIndex has an official graph store integration package llama-index-graph-stores-memgraph in its repo. (verified 2026-10-29)