aiNOC

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aiNOC provides a robust network laboratory environment designed for AI-based troubleshooting and automation of complex network tasks. Leveraging Claude Code, FastMCP, Python, and other advanced tools, it facilitates hands-on practice with CCNP-level concepts in a multi-vendor (Cisco, Arista, MikroTik), multi-protocol (OSPF, EIGRP, BGP), multi-area/multi-AS, OSI L3-focused topology. The project emphasizes optimizing AI performance with features like structured outputs, platform-aware commands, and tool caching to minimize hallucinations and API costs, making it an ideal platform for exploring the next generation of network automation.

Características Principales

• Supports diverse device management via SSH, Arista eAPI, and MikroTik REST API
• Focus on CCNP-level routing protocols: OSPF multi-area, EIGRP, and BGP
• Optimized AI performance with structured output parsing (Genie) and command caching
• AI-based troubleshooting and automation using Claude Code and FastMCP
• 4 GitHub stars
• Multi-vendor (Cisco, Arista, MikroTik), multi-protocol, multi-area/AS network topology

Casos de Uso

• Developing and testing network automation scripts for multi-vendor infrastructures
• Practicing AI-driven network troubleshooting in a simulated production environment
• Learning and reinforcing advanced routing protocols and network design principles