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Memgraph

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@memgraph · London, United Kingdom

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High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics.

Skills Distribution
DomainData Systems...Graph Database Arc.. (40%)In-Memory Data Pro.. (30%)Release Engineering (30%)

Agent Skills by Memgraph

Showing 2 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About Memgraph

FAQPage Schema
What specific tasks does Memgraph enable for data engineers?

Memgraph enables the storage and retrieval of complex relationship data within volatile memory. It provides specific hooks for capturing context, allowing engineers to maintain stateful information for high-performance analytical queries and real-time graph traversals.

What is the deployment process for Memgraph components?

Deployment is managed through coordinated multi-subprocess releases targeting PyPI and Docker Hub. These processes are integrated into GitHub Actions to ensure consistent versioning and distribution across containerized environments and package managers.

What are the primary prerequisites for implementing Memgraph context hooks?

Implementation requires an existing Memgraph instance and the configuration of Codex context capture hooks. Users must ensure their environment supports the specific subprocess requirements defined for the release cycle and data ingestion pipelines.