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🌱 Welcome to Airflow Copilot

A conversational AI assistant that lets you run, monitor, and manage Apache Airflow directly from Microsoft Teams — powered by LLMs and the Airflow REST API.

Airflow Copilot banner

✨ What is Airflow Copilot?

Airflow Copilot bridges the gap between orchestration and conversation.
It enables teams to:

  • 🗣️ Interact with Airflow using natural language inside Microsoft Teams
  • 🔁 Trigger and monitor DAGs, tasks, schedules
  • 🧠 Leverage LLMs (OpenAI, Google, Anthropic, Groq)
  • 🔒 Enforce RBAC-based access control
  • 📚 Preserve memory via LangGraph checkpoints in PostgreSQL

🚦 Ready to Begin?

💡 Follow the Quick Start and get your Copilot up & running in less than 10 minutes.

🔹 Section 🔗 Link 📌 Why Visit?
🚀 Quick Start Get Started → Two-file Docker setup for local testing
🛠️ Architecture How it Works → High-level design & component workflow
⚙️ Configuration Env Variables → All runtime settings at a glance
📦 Deployment Deploy Options → Local, Docker Prod, Kubernetes, AWS
🤖 Agent Behavior Agent Logic → Fallbacks, retries, limitations

🧰 Features Overview

  • 🔄 Chat-driven orchestration of DAGs, variables, tasks, and runs
  • 🧠 LLM-powered intelligence via OpenAI, Gemini, Claude, Groq
  • 🔐 Role-aware execution with Airflow RBAC integration
  • 🧩 Persistent memory stored via LangGraph + PostgreSQL
  • 🌍 Unified deployment: Docker Compose → Kubernetes → ECS

🎬 Demo

🚀 See Airflow Copilot in action inside Microsoft Teams — from updating credentials to triggering DAGs and viewing logs.

📺 Watch the Demo

🧾 Or explore the same examples → Chat Examples

🧪 Try It Out

🛠️ Follow the Quick Start →

🚀 Roadmap

Airflow Copilot is fully open source.
We welcome your ideas, tools, feedback, and pull requests.

👉 View the Roadmap

🚀 Automate smarter. Collaborate better. That’s Copilot.