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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Graphify serves as an innovative open source knowledge graph engine that converts diverse inputs such as code, documentation, research papers, meetings, images, browser tabs, and commits into a single, navigable graph with full recall capabilities. Designed to function as a persistent memory for AI coding assistants, it empowers tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity with a queryable grasp of a project, thereby eliminating the need for them to continuously search through files. Users can direct Graphify to any directory, where it generates an initial corpus through AST extraction, semantic analysis, and Leiden clustering, effectively converting an entire codebase or document collection into a comprehensive graph in a single operation. Unlike traditional RAG pipelines that require re-embedding for every modification, Graphify sustains a dynamic graph that only updates the affected nodes and edges when files are altered, allowing the remainder of the corpus to remain stable even at an enterprise scale. This capability not only enhances efficiency but also facilitates seamless collaboration among various AI tools, significantly improving the overall workflow for developers and researchers alike.

Description

Memgraph is a high-performance, in-memory graph database that powers real-time AI context and graph analytics at scale. Vector search finds what's similar. Graph reasoning finds what's connected — following relationships, dependencies, and hierarchies that similarity alone can't capture. Modern AI systems need both, and Memgraph is the graph layer - surfacing precise structural context with full audit trails in sub-millisecond time. It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflows — a single high-performance layer for any system that needs structured, connected context. The same in-memory architecture drives real-time graph analytics for fraud detection, network analysis, infrastructure monitoring, and other operational workloads where milliseconds matter. NASA uses Memgraph to connect people, skills, and projects across the agency into a queryable knowledge graph that powers real-time expert discovery and workforce planning. Cedars-Sinai uses it to link genes, drugs, and clinical pathways in an Alzheimer's knowledge graph spanning over 230,000 entities that drives drug repurposing research and multi-hop biomedical reasoning. Organizations across cybersecurity, finance, retail, and other knowledge-intensive domains rely on Memgraph for the same reason: sub-millisecond graph traversals for the structured context and real-time insight that modern systems demand.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Aider Yes 
Cursor Yes 
Factory Droid Yes 
Gemini CLI Yes 
Go Yes 
Google Antigravity Yes 
Hermes Agent Yes 
Java Yes 
Kimi Code CLI Yes 
Kiro Yes 
Kotlin Yes 
MapWeave No 
OpenAI Codex Yes 
OpenClaw Yes 
Pi Agent Yes 
Python Yes 
Ruby Yes 
Rust Yes 
Swift Yes 
TypeScript Yes 

Integrations

Aider No 
Cursor No 
Factory Droid No 
Gemini CLI No 
Go No 
Google Antigravity No 
Hermes Agent No 
Java No 
Kimi Code CLI No 
Kiro No 
Kotlin No 
MapWeave Yes 
OpenAI Codex No 
OpenClaw No 
Pi Agent No 
Python No 
Ruby No 
Rust No 
Swift No 
TypeScript No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Graphify

Country

United States

Website

graphifylabs.ai/

Vendor Details

Company Name

Memgraph

Founded

2016

Country

United Kingdom

Website

memgraph.com

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