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Licoy/GoAmzAI avatar
Licoy/GoAmzAI

GoAmzAI: Private-Deployable AIGC Platform Built on Go, Vue3, and MySQL

🤖️ 基于 Golang + Vue3 + NaiveUI 的全新的个人、团队、企业私有化AIGC平台 | 支持AI对话、AI绘画、AI视频、AI音乐、AI无限画布工作流、AI PPT、思维导图、应用广场、同时支持多用户多模型聚合平台管理使用等等,具有非常强大的运营能力以及企业内部使用能力,欢迎体验~

477 stars28 forksUnknownLicense varies

At a glance

What is it?
GoAmzAI is a commercial, self-hostable AIGC platform that brings AI chat, image generation, video, music, and workflow tools together under one admin-managed interface with payment systems and user management. It is sold in three editions with progressively more features.
Who is it for?
GoAmzAI is a match for teams that want a single self-hosted platform covering AI chat, image generation, video, and payment in one system, without building those integrations themselves. It is not an open-source project: the source code is not in this repository, and deployment documentation lives on the external website at d.goamzai.com and in the Feishu document linked in the README.
Can I use it commercially?
Not without permission. GitHub finds no licence file in the repository, and without a licence all rights are reserved by default: you may read the code but not reuse it. Check the README, or ask the authors, before using it.
Is it still maintained?
Yes. The repository last received commits 78 days ago.
What is it written in?
GitHub does not report a main language for this repository.

Answers come from the project's GitHub data, last synced on September 22, 2026, and from our analysis. They are not legal advice.

Editorial analysis

What GoAmzAI Is and Who It Is For

GoAmzAI is a private-deployable AIGC (AI Generated Content) platform designed for individuals, teams, and enterprises that want to run an AI service under their own domain and infrastructure. The README describes it as a platform for AI conversation, AI image generation, AI video, AI music, a workflow canvas, AI presentations, and mind maps, along with an application marketplace.

The target users are operators who want to offer AI capabilities to end users under a branded interface, businesses that need user management, multi-model support, and payment integration in a single product, and enterprises that require private deployment for data governance reasons. The README positions it as both an internal tool and a commercial platform, with features such as payment systems, referral mechanisms, and content moderation for teams that want to resell AI services.

GoAmzAI is a commercial product. The source code is not included in the GitHub repository, which contains only a README and an images folder. The README directs readers to the official website and a Feishu document for current product information, screenshots, and deployment instructions.

Technical Stack and Infrastructure Requirements

The README documents the technical architecture at a high level. The frontend uses Vue3 with NaiveUI. The backend is Golang with the Gin framework. The data layer requires MySQL 5.7 and Redis.

The minimum server specification listed in the README is 1 CPU core and 1 GB of RAM. The README notes that basic use keeps memory consumption below 100 MB. For a production deployment the README says a domain and a server are required. Optional components depend on the features a team wants to enable: conversation model platform API keys, image generation platform subscription accounts, and third-party services for SMS, email, and content moderation.

The README mentions BaoTa Panel (宝塔) as a deployment path, claiming a five-minute deployment, though the actual deployment guide is on the external website rather than in this repository.

Three Editions: Plus, Pro, and Enterprise

GoAmzAI is sold in three editions. The README's feature table distinguishes which features are available in each. All three editions include the core AI conversation engine, image generation, video, music, the infinite canvas workflow, AI presentations, mind maps, user authentication, the payment system, referral mechanics, content moderation, the application marketplace, and multi-model routing.

The Pro edition adds features not available in Plus, including a custom homepage, multi-device login restrictions, per-type point tracking across chat, image, video, music, and PDF categories, marketing notifications via SMS and email, online sharing, an infinite canvas template gallery, and scheduled log cleanup.

The Enterprise edition adds a knowledge base with private vector storage, custom ETL pipelines, and support for multiple vector model databases. The README notes that the feature table may not be exhaustive and that some features are not listed.

The README links to a live demo for each edition, with registration open and trial credits available for new accounts.

Multi-Model Support and Supported AI Capabilities

For conversation, the README lists support for ChatGPT, Azure OpenAI, Wenxin Yiyan, iFlytek Spark, Zhipu AI, DeepSeek, and custom models. A model account pool allows multiple API keys and channels for each provider, with independent concurrency settings and real-time queue monitoring.

For image generation, the README lists Midjourney, Stable Diffusion (including SDXL and Stable Diffusion 3), Stable Image Ultra, Stable Image Core, DALL-E 3, and Volcano Engine (火山引擎) image generation. Each provider's parameters are configurable from the admin panel. Image generation channels can be started, restarted, and stopped online.

For video generation, the README lists CogVideoX, Kling, SVD, Animate Diff, Stable Diffusion Animation, and third-party API video models such as Luma. For music, it lists BigMusic from Volcano and general AI music generation with professional and simplified modes.

MCP tool calling is supported in SSE, StreamableHTTP, and Stdio modes, configurable from the admin panel. PassKey login is also listed as a feature.

What the Repository Contains and What It Does Not

The top-level entries in the repository are README.md and images/. There is no source code, no Dockerfile, no configuration files, and no deployment scripts. GoAmzAI is a closed-source commercial product and this repository is its public-facing description.

All deployment documentation is external. The README explicitly states that the information in the README may not be current and directs readers to the official website at d.goamzai.com and to a Feishu document for the authoritative product description. The README also links to official demo sites where prospective users can register and evaluate the platform directly.

No license is stated in the README or the repository. This is consistent with a commercial product where the terms of use are governed by a separate agreement with the vendor rather than an open-source license. The README lists QR codes for both WeChat and QQ contact channels, both labelled for AIGC consultation, and notes that WeChat contacts should add a note saying AIGC consultation (AIGC咨询) to be accepted.

The demo sites (demo6.goamzai.com for the Plus edition, prodemo6.goamzai.com for the Pro edition) allow direct registration with trial credits for new accounts, making it practical to evaluate the platform before committing to a purchase. The README explicitly states these sites are for experiencing the product before buying.

For teams seeking a comparable open-source alternative, Open WebUI is a widely used browser-based interface for running and managing LLMs locally, supporting multiple backends. Open WebUI provides the conversation interface but lacks the integrated payment system, image generation routing, and enterprise user management that GoAmzAI bundles. The difference in approach is that Open WebUI is open source and self-contained, while GoAmzAI is a commercial platform with support and an evolving feature set managed by the vendor.

The repository had its last push on 2026-07-14.

Editorial conclusion

GoAmzAI is a match for teams that want a single self-hosted platform covering AI chat, image generation, video, and payment in one system, without building those integrations themselves. It is not an open-source project: the source code is not in this repository, and deployment documentation lives on the external website at d.goamzai.com and in the Feishu document linked in the README. Teams evaluating it must read those external sources first, since the README explicitly states its content may not reflect the current state of the product. The feature set and pricing differ between the Plus, Pro, and Enterprise editions, so verify which edition covers the required capabilities before committing.

Frequently asked questions

What database does GoAmzAI use?

The README states that GoAmzAI uses MySQL 5.7 and Redis. MySQL handles application data and Redis is used for caching and session management.

Is GoAmzAI open source?

No. The GitHub repository contains only a README and images. The source code is not publicly available. GoAmzAI is a commercial product, and deployment documentation is on the official website at d.goamzai.com.

What payment methods does GoAmzAI support?

The README lists WeChat Pay (QR code and JSAPI), Alipay (face-to-face and web payment), Hupijiaoketang, and Cainiao Yizhifu as a payment aggregator. A custom external link option is also supported.

Official sources

  1. Issues
  2. Licoy/GoAmzAI on GitHub
  3. Project website
  4. README
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