title: OpenMythos
emoji: 🛡️
colorFrom: gray
colorTo: indigo
sdk: gradio
sdk_version: 6.18.0
python_version: '3.13'
app_file: app.py
pinned: true
short_description: An Open Source Cyber Security Agent
license: apache-2.0
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
openMythos 🌌
An open-source proactive security intelligence platform engineered to detect, analyze, and automatically remediate source-code vulnerabilities instantly before threat actors can exploit them.
Built during the Hugging Face Small Gradio Hackathon, openMythos democratizes cutting-edge security auditing. It bridges an intuitive, interactive retro terminal interface with the elite agentic reasoning and long-context preservation architecture of a fine-tuned Qwen3.6-27B base model.
🎨 Visual Preview
The interface features an immersive, distraction-free retro terminal architecture optimized for low-latency code-auditing loops: [Image to be added]
The Idea
Following the release of Claude's Mythos model, openMythos was designed to provide a fully open-source alternative. It can be run entirely locally, requiring zero internet connectivity or external dependencies to operate.
💡 Project Background & Core Philosophy
In the modern AI landscape, maintaining organizational security has escalated into an arms race. Threat groups increasingly utilize specialized, autonomous AI agents to scan global codebases, identify edge-case zero-days, and uncover hidden vulnerabilities within seconds.
Major enterprises and corporations face severe threat profiles from this rapid evolution of malicious technology. This paradigm shift was accelerated by the launch of proprietary security intelligence layers like Claude's Mythos model—a breakthrough that raised defensive alarms across the cyber-security sector.
openMythos counters this asymmetric risk. It delivers a freely accessible, open-weights variant of optimized defensive technology. Built specifically to secure software ecosystems, openMythos is systematically trained on sprawling cross-language vulnerability datasets to evaluate whole code repositories. It detects flaws, memory leaks, security configurations, and input bugs instantly, empowering software engineering teams to deploy hotfixes long before a threat vector is weaponized.
Features
This Gradio application seamlessly demonstrates how effectively it can discover vulnerabilities within user code.
- Zero-Configuration Input: Simply paste your code, and the interface automatically handles the entire analysis workflow.
- Agentic Multi-Level Analysis: Utilizes advanced agentic methods to evaluate codebases and trace security risks at multiple execution levels.
🛠️ Security Data Sources & Vulnerability Training Context
To achieve its precise vulnerability discovery rate, openMythos leverages a curated aggregation of top-tier industry-standard security definitions, advisory lists, and target exploit databases.
The model has been rigorously trained and fine-tuned on extensive datasets derived from the following security sources:
- BigVul-Filtered – A curated version of the Big Vulnerability Dataset containing widespread common vulnerabilities, further filtered and optimized for maximum accuracy.
- Arvix-Filtered – A collection of filtered academic research papers focused explicitly on programming language vulnerabilities.
🧠 Base Model Foundation
The project utilizes Qwen3.6-27B as its foundational architecture. This parameter-dense model offers strong agentic coding capabilities and supports native context windows up to 262,144 tokens (extensible to over 1 million tokens via specialized scaling). This extended context allows openMythos to map complex variable trails and dependency structures across entire software repositories during a single security sweep.
📢 Product Demos & Social Ecosystem Coverage
Stay up-to-date with active development branches, integration tutorials, and production stress tests:
- Interactive Project Demo Walkthrough: Watch the Social Media Demo Video & Technical Explainer Post (Link updated post hackathon evaluation window)
🤝 Project Contributors & Ecosystem Credits
Developed with ❤️ during the Hugging Face Small Gradio Hackathon by:
- KingNish – HuggingFace Profile
- Himanshu – HuggingFace Profile
📜 Citations & Academic Attributions
@misc{openmythos2026,
title = {openMythos: Defensive Security Code-Auditing Agent Interface via Qwen3.6 Context Preservation},
author = {KingNish and Himanshu},
year = {2026},
howpublished = {Hugging Face Small Gradio Hackathon Project Suite}
}
@misc{qwen3.6-27b,
title = {{Qwen3.6-27B}: Flagship-Level Coding in a {27B} Dense Model},
author = {{Qwen Team}},
month = {April},
year = {2026},
url = {[https://qwen.ai/blog?id=qwen3.6-27b](https://qwen.ai/blog?id=qwen3.6-27b)}
}