Awesome Network Automation AI

A curated list of awesome resources for applying Artificial Intelligence (AI), Large Language Models (LLMs), and Machine Learning (ML) to network automation.

The intersection of AI and network automation is moving fast — from LLM-powered assistants that generate device configs, to agentic workflows that troubleshoot networks, to ML models that predict outages. This list collects the best tools, frameworks, articles, talks, and learning resources in one place.

Maintained by Packet Coders.

Contents

• Tools & Frameworks
• LLM & Agent Tooling
• Libraries & SDKs
• Platforms & Products
• Model Context Protocol (MCP)
• Articles & Blog Posts
• Tutorials & Guides
• Videos & Talks
• Podcasts
• Courses & Training
• Books
• Research Papers
• Datasets & Benchmarks
• Newsletters
• Communities

Tools & Frameworks

Open-source tools and frameworks that combine AI/ML with network automation.

LLM & Agent Tooling

LLM-based assistants, copilots, and agentic systems for networking and engineering tasks.

• Open WebUI - Self-hosted, extensible AI platform and chat interface that runs fully offline, supporting multiple LLM runners (Ollama, OpenAI-compatible APIs), RAG, and tool calling.
• Ponytail - Plugin for AI coding agents (Claude Code, Codex, Copilot) that enforces a "reuse before you build" decision ladder to minimise new code.

Libraries & SDKs

Programming libraries for building AI-driven network automation.

Platforms & Products

Commercial and hosted platforms with AI network automation capabilities.

Model Context Protocol (MCP)

MCP servers and integrations exposing tooling to AI agents.

• gridctl - Gateway that aggregates multiple MCP servers and Agent Skills behind a single declarative YAML endpoint, with token-saving output conversion and per-call cost tracking.
• MCP Gateway - Proxy server that consolidates multiple MCP backend servers behind a single endpoint, with lazy schema loading and a web dashboard.
• mcpo - Proxy server that exposes any MCP tool as an OpenAPI-compatible HTTP endpoint, making MCP tooling usable from standard web APIs and agents.
• Netmiko MCP - MCP server that gives AI agents controlled SSH access to network devices via Netmiko, with command whitelisting for safety.

Articles & Blog Posts

Notable articles, write-ups, and blog posts.

• AI Agent Trends Engineers Should Care About - Overview of emerging AI agent trends relevant to engineers.
• The PENE Framework for AI Network Operations - Introduces the PENE framework for applying AI to network operations.
• The Schema-Driven LLM Query Pattern - Describes a pattern that uses a defined schema to structure and validate LLM outputs for reliable, structured querying of network data.

Tutorials & Guides

Hands-on tutorials and how-to guides.

Videos & Talks

Conference talks, webinars, and video walkthroughs.

Podcasts

Podcasts and episodes covering AI in networking.

Courses & Training

Structured courses and training programs.

• AI Engineering from Scratch - Open-source curriculum teaching AI engineering from mathematical foundations through production deployment, with 503 lessons across 20 phases.

Books

Books covering AI, ML, and network automation.

Research Papers

Academic papers and research.

Datasets & Benchmarks

Datasets and benchmarks for training and evaluating models on networking tasks.

Newsletters

Newsletters worth subscribing to.

Communities

Forums, Slack/Discord communities, and groups.

Contributing

Contributions are welcome! Please read the contribution guidelines first.

License

To the extent possible under law, the maintainers have waived all copyright and related or neighboring rights to this work. See LICENSE.