aiopstack 0.1.0

A collection of AI Operational Agents built with Langchain/LangGraph and Streamlit-based GUI for real-time user interaction and visualization

AIOpStack

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AIOpStack is a collection of AI Operational Agents built with Langchain/LangGraph and Streamlit‑based GUI for operational interaction and visualization.

🌐 English | 简体中文

🎯 Motivation

1. Fast‑boot – DevOps and sysadmins often test multiple MCPs for automation, but setup can be time‑consuming. AIOpStack drastically reduces study and setup time.
2. Lightweight – IDEs like Cursor and VSCode with Cline are powerful but resource‑heavy. AIOpStack stays minimal and nimble.
3. Local Deployments – Deploy locally to access private environments.
4. Free & Open – Fully open‑source, no vendor lock‑in or licensing fees.

🚀 Features

• OpenAI‑compatible LLM API integration – Connect to any OpenAI‑compatible LLM endpoint.
• MCP integration – Seamless bridge between LLMs and popular MCP tools (e.g., Kubernetes, Ansible).
• Human‑in‑the‑loop feedback – Pause for confirmation or iterative refinement at key steps.
• Pure Python & GUI‑free – Fully Python‑powered: no frontend skills required for reuse or extension.

📖 Quick Start

Requirements

• Python 3.8+
• OpenAI‑compatible LLM API URL & Key

Installation

pip install aiopstack

Usage Examples

# QuickStart, the project will be listening at 0.0.0.0:8051
aiops

🤝 Contributing

We welcome contributions! If you have suggestions or feature requests, feel free to open an issue or submit a pull request.

Development Setup

1. Clone the repository:

git clone https://github.com/ohtaman/streamlit-desktop-app.git

2. Install dependencies:

cd src/aiopstack
pip install -r requirements.txt

3. Run Streamlit

streamlit run app.py