Meet KORVIN, a voice-controlled, open-source AI security agent built to work on modest hardware without enterprise complexity.
This post documents a real-world technical build for educational and portfolio purposes. The architecture, configurations, and tools described reflect one specific implementation. Security infrastructure varies significantly by environment. NosisTech LLC makes no guarantees regarding outcomes, compatibility, or security posture. Do not implement security tooling in production environments without qualified review. NosisTech LLC assumes no liability for decisions made based on this content.
Most AI security tools are built for enterprise teams with dedicated engineers, six-figure budgets, and weeks to deploy. KORVIN was built for everyone else.
KORVIN is an open-source AI security agent developed by Carlos Paredes founder of NosisTech LLC, designed from the ground up to be voice-controlled, lightweight, and usable by someone who does not write code for a living. The goal was simple: build an AI assistant that does real security work, responds to your voice, runs on modest hardware, and does not require a team of engineers to operate.
This post is the first in a five-part series documenting what KORVIN can do, how it works, and why it matters for organizations that need AI-powered security capabilities without enterprise overhead.
The Problem With Existing AI Security Tools
The AI security landscape is crowded, but almost everything in it assumes you have a technical team. Existing open-source agents are powerful but fragmented, poorly documented, and require significant engineering effort to deploy. Commercial alternatives are expensive, opaque about their underlying models, and locked into vendor ecosystems.
For a solo security consultant, a small compliance team, or a founder who needs AI-assisted security research without hiring a full engineering staff, none of these options work well. They are too heavy, too technical, or too expensive.
KORVIN was built to fill that gap.
What KORVIN Is
KORVIN is a modular, voice-enabled AI security agent that runs on a standard VPS and communicates via Telegram. It combines live web research, persistent memory, system monitoring, and a real-time web dashboard into a single lightweight stack.
It is designed to be operated hands-free. You talk to it. It works.
The entire stack runs on hardware that most organizations already own. There are no proprietary model dependencies, no vendor lock-in, and no enterprise licensing fees. Every component is open source, MIT-licensed, and replaceable.
Who It Is For
KORVIN is built for people who need AI-powered security capabilities but do not have, or do not want, a large technical team managing their infrastructure. That includes independent security consultants, compliance officers, legal teams doing AI due diligence, and founders who want intelligent security monitoring without the overhead.
If you have ever wanted an AI assistant that actually does security research, monitors your systems, remembers your context, and responds to your voice, KORVIN is what that looks like in practice.
Platform Flexibility by Design
KORVIN is not locked to a single interface. At its core it is a modular agent that can connect to the platforms you already use. Current integrations include Telegram, with support for WhatsApp, Discord, and Signal on the roadmap. On the infrastructure side, KORVIN runs equally well on a local machine or a cloud VPS, no proprietary hosting required. If you can run a Node.js process, you can run KORVIN. That flexibility is intentional. A security tool that forces you into a specific ecosystem is just another vendor dependency. KORVIN is built to fit your environment, not the other way around.
What This Series Covers
Over the next four posts, this series will cover each of KORVIN’s core capabilities in detail:
Post 2 covers on-demand security research, how KORVIN handles real-time threat intelligence and security queries via voice and Telegram.
Post 3 covers system awareness and the live dashboard, how KORVIN monitors infrastructure in real time and exposes that data through a secure, public-facing interface.
Post 4 covers persistent memory and voice interaction, how KORVIN remembers context across sessions and operates entirely hands-free.
Post 5 covers KORVIN’s architecture decisions, what was built, what was deliberately left out, and why those choices matter for a personal AI security agent.
KORVIN is live. The dashboard is accessible at dashboard.korvin.cloud. The npm package is published at @nosistech/korvin. The GitHub repository is available at github.com/nosistech/korvin.
This is not a concept. This is a working system built by one person, running on a single VPS, operated by voice.