Update README.md
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by himanshu17HF - opened
README.md
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# openMythos 🌌
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An open-source proactive security intelligence platform engineered to detect, analyze, and automatically remediate source-code vulnerabilities instantly before threat actors can exploit them.
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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.
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---
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## 🎨 Visual Preview
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The interface features an immersive, distraction-free retro terminal architecture optimized for low-latency code-auditing loops:
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[Image to be added]
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---
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## The Idea
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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.
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---
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## 💡 Project Background & Core Philosophy
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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.
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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.
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**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.
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---
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## Features
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This Gradio application seamlessly demonstrates how effectively it can discover vulnerabilities within user code.
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* **Zero-Configuration Input:** Simply paste your code, and the interface automatically handles the entire analysis workflow.
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* **Agentic Multi-Level Analysis:** Utilizes advanced agentic methods to evaluate codebases and trace security risks at multiple execution levels.
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## 🛠️ Security Data Sources & Vulnerability Training Context
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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.
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The model has been rigorously trained and fine-tuned on extensive datasets derived from the following security sources:
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* **[BigVul-Filtered](https://huggingface.co/datasets/himanshu17HF/BigVul-Filtered/)** – A curated version of the Big Vulnerability Dataset containing widespread common vulnerabilities, further filtered and optimized for maximum accuracy.
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* **[Arvix-Filtered](https://huggingface.co/datasets/himanshu17HF/ArvixImport-Filtered-Final)** – A collection of filtered academic research papers focused explicitly on programming language vulnerabilities.
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---
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## 🧠 Base Model Foundation
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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.
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---
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## 📢 Product Demos & Social Ecosystem Coverage
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Stay up-to-date with active development branches, integration tutorials, and production stress tests:
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* **Interactive Project Demo Walkthrough:** [Watch the Social Media Demo Video & Technical Explainer Post](#) *(Link updated post hackathon evaluation window)*
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---
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## 🤝 Project Contributors & Ecosystem Credits
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Developed with ❤️ during the Hugging Face Small Gradio Hackathon by:
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* **KingNish** – [HuggingFace Profile](https://huggingface.co/KingNish)
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* **Himanshu** – [HuggingFace Profile](https://huggingface.co/himanshu17HF)
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---
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## 📜 Citations & Academic Attributions
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```bibtex
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@misc{openmythos2026,
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title = {openMythos: Defensive Security Code-Auditing Agent Interface via Qwen3.6 Context Preservation},
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author = {KingNish and Himanshu},
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year = {2026},
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howpublished = {Hugging Face Small Gradio Hackathon Project Suite}
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}
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@misc{qwen3.6-27b,
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title = {{Qwen3.6-27B}: Flagship-Level Coding in a {27B} Dense Model},
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author = {{Qwen Team}},
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month = {April},
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year = {2026},
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url = {[https://qwen.ai/blog?id=qwen3.6-27b](https://qwen.ai/blog?id=qwen3.6-27b)}
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}
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