kuafuai/DevOpsGPT

Multi agent system for AI-driven software development. Combine LLM with DevOps tools to convert natural language requirements into working software....

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Summary Information

Updated 1 minute ago
Added to GitGenius on September 11th, 2026
Created on July 12th, 2023
Open Issues & Pull Requests: 21 (+0)
GitHub issues: Enabled
Number of forks: 718
Total Stargazers: 5,964 (+0)
Total Subscribers: 215 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.2 hours
Mean response time: 27.0 days
90th percentile: 132.9 days
Tracked items: 5

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Issue Activity (beta)

Open issues: 6
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 719 days
Stale 30+ days: 6
Stale 90+ days: 6

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

DevOpsGPT is a multi-agent system that combines large language models with DevOps tools to convert natural language requirements into working software.

The tool addresses the challenge of translating business requirements into functional code by automating the software development workflow. It accepts natural language input describing what needs to be built, then uses an LLM-driven multi-agent approach to decompose requirements, generate code across any development language, and orchestrate deployment through connected DevOps platforms. This automation reduces the need for extensive requirement documentation and back-and-forth communication between business and technical teams.

DevOpsGPT suits organizations looking to accelerate development cycles and reduce communication overhead in the requirements-to-deployment pipeline. It works with existing projects, allowing the system to analyze current codebases and extend them based on new requirements. The enterprise edition adds capabilities for analyzing existing project structures, supporting specialized language models beyond general-purpose options, and integrating with additional DevOps platforms for end-to-end automation. The tool is language-agnostic, supporting development in any programming language.

The project maintains active community engagement through multiple channels including issue tracking, discussion forums, and direct contact options. Development activity shows responsiveness to user questions and feature requests across these channels, with documentation available in multiple languages indicating attention to accessibility for a global audience.