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features
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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

Graphs represent one of the most adaptable formal data structures, allowing for straightforward mapping of various data formats while effectively illustrating the explicit relationships between items, thus facilitating the integration of new data entries and the exploration of their interconnections. The inherent semantics of the data are clearly defined, incorporating formal methods for inference and validation. Serving as a self-descriptive data model, knowledge graphs not only enable data validation but also provide insights on necessary adjustments to align with data model specifications. The significance of the data is embedded within the graph itself, represented through ontologies or semantic frameworks, which contributes to their self-descriptive nature. Knowledge graphs are uniquely positioned to handle a wide range of data and metadata, evolving and adapting over time much like living organisms. Consequently, they offer a robust solution for managing and interpreting complex datasets in dynamic environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Aider
Antigravity CLI
C
C++
Codex CLI
Cursor
Gemini CLI
GitHub Copilot CLI
Hermes Agent
Java
Kimi Code
Kimi Code CLI
Kotlin
OpenAI Codex
OpenClaw
OpenCode
Python
Ruby
Rust
TypeScript

Integrations

Aider
Antigravity CLI
C
C++
Codex CLI
Cursor
Gemini CLI
GitHub Copilot CLI
Hermes Agent
Java
Kimi Code
Kimi Code CLI
Kotlin
OpenAI Codex
OpenClaw
OpenCode
Python
Ruby
Rust
TypeScript

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Graphify

Country

United States

Website

graphifylabs.ai/

Vendor Details

Company Name

TopQuadrant

Country

United States

Website

www.topquadrant.com

Product Features

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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