[Open Source] Minimalist open-source knowledge community software based on a Q&A format, enabling rapid creation of product Q&A communities
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1. Project Overview
A minimalist, open-source knowledge community software based on a question-and-answer format, designed to quickly build product Q&A communities, user Q&A communities, fan communities, and more.
The SegmentFault team officially open-sourced its Q&A community software, Answer.
As one of China's leading next-generation technical Q&A communities, the SegmentFault team has accumulated years of experience in community development. Answer provides not only the essential features of a Q&A Platform but also incorporates the development team's insights into community growth through thoughtful product design. These experiences have been transformed into product features, including tag-based content management and badge and reputation systems.
Our goal is to help every organization easily build its own Q&A community, bring together collective intelligence, and drive industry progress!
2. Open Source License
Licensed under Apache-2.0
3. Screenshots

4. Feature Overview
Answer Product Features
Q&A Platform
The Q&A platform helps users solve problems and encourages community participation. Experts in their respective fields can contribute knowledge, verify information accuracy, and vote for correct answers, keeping community information up to date and trustworthy.
Organized
You can use tags to manage content and categorize questions and answers. This makes knowledge easier and faster to find. You can also use search to quickly locate answers.
Integrations
You can configure your community with plugins and your favorite services to improve workflows and grow your community.
Gamification
We make Q&A communities more engaging through reputation scores and badge systems, allowing members to enjoy a sense of fun and achievement through collaboration.
Answer Alpha Version Features
The Answer Alpha release currently supports the following features:
- Core question, answer, and comment functionality
- Content quality control through voting
- Reputation scores to measure user contributions and trust levels
- A modern responsive interface that works on both desktop and mobile devices
5. Tech Stack
Q&A Installation Guide
Environment Preparation
- Memory >= 512M
- If using MySQL, version >= 5.7
Quick Start
Quick Setup Using Docker
docker run -d -p 9080:80 -v answer-data:/data --name answer answerdev/answer:latest
For other installation and configuration details, please refer to INSTALL.md