Andrey Kumanyaev
Gortex indexes repositories into a knowledge graph to reduce AI agent token usage by up to 50x and provide high-performance code intelligence.
At a Glance
- Software Developers
- AI Agent Developers
- Engineering Teams
- Open Source Maintainers
AI Tools by Andrey Kumanyaev
(1)Gortex
Code Intelligence Engine for AI Agents
Discussions
No discussions yet
Be the first to start a discussion about Andrey Kumanyaev
Latest News
Gortex v0.62.0 Release: Enhanced localization and agent support
Gortex trends on GitHub as a leading code-intelligence engine for AI agents
Introduction of Gortex Web UI with 3D force-directed graph visualization
Support for MCP 2026 Streamable HTTP transport added to Gortex
Products & Services
A high-performance code-intelligence engine that indexes repositories into an in-memory knowledge graph to serve AI coding agents via MCP, HTTP, and a web UI.
Market Position
Gortex competes with tools like Sourcegraph Cody and Bloop by offering a 100% local, graph-native, and zero-dependency solution that significantly reduces token costs for AI agents.
Leadership
Founders
Andrey Kumanyaev
Senior Engineering Manager at Vio.com (formerly FindHotel) with over 14 years of experience in distributed systems and high-load platforms. He is a hands-on leader specializing in scaling autonomous teams and building robust engineering infrastructures.
Executive Team
Andrey Kumanyaev
Founder & Creator
An engineering leader and developer with extensive experience in high-load platforms. Creator of Gortex and maintainer of the 'zzet' GitHub projects.
Founding Story
Created by Andrey Kumanyaev to address the inefficiency of AI coding agents that waste tokens by repeatedly reading large files without context. The goal was to provide a 'one call, not ten reads' interface for codebases.
Business Model
Revenue Model
Open Source (Apache 2.0). The project is currently free for personal and commercial use with no active subscription tiers reported.
Pricing Tiers
Full access to all features, including commercial use, under the Apache 2.0 license.
Target Markets
- Software Developers
- AI Agent Developers
- Engineering Teams
- Open Source Maintainers
- AI-assisted coding and development
- Repository indexing for large codebases
- Token optimization for LLM-based tools
- Impact analysis and blast-radius queries