This project is an AI-powered multi-agent Network & Security Incident Response platform built using Streamlit, HuggingFace LLMs, LangChain, ChromaDB, and AMD GPU infrastructure. The system ingests network and security logs, classifies them into relevant domains, and routes them to specialized AI agents for network troubleshooting, security analysis, and Root Cause Analysis (RCA). Using Retrieval-Augmented Generation (RAG), semantic log understanding, and multi-agent orchestration, the platform correlates events such as BGP flapping, OSPF instability, packet drops, firewall anomalies, and CPU spikes to generate intelligent troubleshooting insights, remediation steps, and verification commands in real time.
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