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GreenOps

🌿 Autonomous AI agent that reduces cloud carbon emissions by 40% through intelligent scheduling. Powered by Gemini 1.5 Flash & UK National Grid Carbon Intensity API.

Install / Use

/learn @Bhagirath00/GreenOps
About this skill

Quality Score

0/100

Supported Platforms

Gemini CLI

README

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GreenOps Banner

🌿 GreenOps Enterprise

Gemini 1.5 Flash Carbon API Python License

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Overview

GreenOps is an autonomous AI agent that optimizes cloud deployments based on real-time carbon intensity. Instead of deploying blindly, it checks the grid status and intelligently schedules workloads for "green windows"—reducing carbon emissions by up to 40%.

Powered By

  • Google Gemini 1.5 Flash: The reasoning engine that decides when to deploy.
  • UK National Grid Carbon Intensity API: Real-time energy generation data (Wind, Solar, Gas, Coal).

Want to Run Locally?

A dedicated local execution mode for testing on your laptop is here!!

Click Here for Local Setup Guide


The Problem vs. Solution

The Problem: Invisible Carbon

  • Cloud computing emits more carbon than the airline industry.
  • Deploying a heavy job at 6 PM (Coal/Gas) = 300g CO2/kWh.
  • Deploying the same job at 2 AM (Wind) = <50g CO2/kWh.
  • Most DevOps tools ignore this completely.

The Solution: Autonomous Agent

GreenOps acts as a "Sustainability Gatekeeper":

  1. Intercepts deployment requests.
  2. Checks live grid data via API.
  3. Decides:
    • Green Grid? Deploy immediately.
    • 🏭 Dirty Grid? Schedule for later (e.g., 3 AM).
    • 🚨 Critical Emergency? Override and deploy instantly.

Architecture

<img width="1112" height="567" alt="Image" src="https://github.com/user-attachments/assets/3149f53b-72d1-4f96-ab9e-e28c93ba7d2e" />

Process Flow

<img width="2724" height="423" alt="Image" src="https://github.com/user-attachments/assets/a103340d-71bd-44d4-a0d4-5f938ad2b371" />

Real-World Scenarios

| Scenario | Grid Status | Agent Decision | Impact | |:---|:---|:---|:---| | Nightly Build | Dirty (Gas) | Wait 6 hours for Wind peak | -84% Carbon | | Security Hotfix | Dirty (Gas) | Deploy Immediately (Critical) | Safety First | | Data Migration | Moderate | Wait 22 hours for Solar peak | Human Choice |

Acknowledgments

Built for the Google AI Agents Hackathon (November 2025).

  • LLM: Gemini 1.5 Flash
  • Data: Carbon Intensity API (National Grid ESO)

Future Improvement

We are building the future of sustainable DevOps. Here is what's coming next:

  • [ ] Kubernetes Operator: A K8s controller to auto-schedule pods based on node carbon intensity.
  • [ ] Multi-Region Arbitrage: "Follow the Wind" routing—moving workloads from UK (calm) to Spain (windy) automatically.
  • [ ] Hardware Awareness: Integration with NVIDIA MIG to throttle GPU power during dirty grid windows.
  • [ ] CI/CD Plugins: Native plugins for GitHub Actions and GitLab CI.

🤝 How to Contribute

We welcome contributions from the community! Whether it's fixing bugs, adding new features, or improving documentation.

  1. Fork the repository.
  2. Create a Branch: git checkout -b feature/AmazingFeature.
  3. Commit your changes: git commit -m 'Add some AmazingFeature'.
  4. Push to the branch: git push origin feature/AmazingFeature.
  5. Open a Pull Request.

Ideas for Contribution

  • Add support for other grid APIs (e.g., ElectricityMaps, WattTime).
  • Create a Docker container for the agent.
  • Improve the visualization dashboard.

License

Distributed under the License See for more information.


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Code Smarter. Breathe Easier. 🌿

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View on GitHub
GitHub Stars4
CategoryDevelopment
Updated2mo ago
Forks2

Languages

Python

Security Score

90/100

Audited on Jan 20, 2026

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