File size: 997 Bytes
311aeb0 c8d30bc a555029 d9305b4 c8d30bc 311aeb0 d9305b4 311aeb0 d9305b4 a555029 c8d30bc d9305b4 c8d30bc a555029 d9305b4 c8d30bc d9305b4 a555029 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | ---
title: ThreatHunter
emoji: 🛡
colorFrom: blue
colorTo: red
sdk: docker
app_port: 7860
pinned: true
license: mit
short_description: AI Security Intelligence on AMD MI300X
---
# ThreatHunter
AI Multi-Agent Security Intelligence Platform powered by AMD Instinct MI300X + Qwen2.5-32B-Instruct
## Features
- Multi-Agent Pipeline: Orchestrator, Security Guard, Scout, Intel Fusion, Analyst, Critic, Advisor
- Qwen2.5 on AMD MI300X: ROCm-optimized vLLM inference with 32K context window
- Real-time Monitoring: Live SSE streaming of agent work logs
- Harness Engineering: 3-pillar safety architecture
- Dual-layer Memory: JSON + LlamaIndex persistent agent memory
## Usage
1. Enter package names (e.g. Django 4.2, Redis 7.0) or drag a .py file
2. Click Scan
3. Watch the multi-agent pipeline analyze vulnerabilities in real-time
## AMD Developer Hackathon 2026
- GPU: AMD Instinct MI300X (192GB HBM3)
- Model: Qwen/Qwen2.5-32B-Instruct via ROCm vLLM
- Framework: CrewAI + LiteLLM + FastAPI
|