53AI/53AIHub — 4.9k Stars

53AIHub

53AI Hub is an open-source AI portal and knowledge base for managing enterprise knowledge, AI agents, prompts, and AI tools, seamlessly integrating with Coze, Dify, FastGPT, RAGFlow. 一个AI知识库与Agent门户

Last updated Jul 8, 2026

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#coze #dify #fastgpt #go #knowledge #maxkb #mcp #openai #prompt #rag #ragflow

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README

Cloud Service · Local Deployment · Documentation · Demo Site

53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with development platforms like Coze, Dify, FastGPT, RAGFlow, and 53AI Studio, and cloud platforms such as Aliyun , Tencent Cloud , and Baidu Cloud, helping developers and enterprises build production-grade AI portals without complex integrations. Even users with no technical background can participate easily, significantly lowering the barrier to AI inplementation.

Key features are as follows:

1. Platform Integration: Supports integration with mainstream agent development platforms, cloud services, and large language model platforms. Users can choose from site templates and styles, and customize the interface as needed.

2. Application Management: Provides full lifecycle management for AI agents, prompts, and AI tools, including publishing, grouping, sorting, and user permission configuration.

3. User Operations: Supports the operation of both registered users and internal users, with the ability to manage and view login and usage records.

4. Independent Deployment: Supports one-click deployment on both cloud and local environments, and binding to a custom domain name.

Product Comparison

| Feature | 53AI Hub | NextChat | lobehub | Cherry Studio | | ------------------ | ----------------------- | ----------- | ----------- | ------------- | | Custom Interface | Multiple styles | Fixed style | Fixed style | Fixed style | | Access Permissions | Enterprise-grade | None | None | None | | Agent Integration | ✅ | ❌ | ❌ | ❌ | | LLM Integration | ✅ | ✅ | ✅ | ✅ | | Registered Users | ✅ | ✅ | ✅ | ✅ | | Internal Users | ✅ | ❌ | ❌ | ❌ | | SSO Support | WeCom, DingTalk, Feishu | ❌ | ❌ | ❌ | | Local Deployment | ✅ | ✅ | ✅ | ✅ | | AI Knowledge Base | ✅ | ❌ | ❌ | ❌ | | AI Workbench | ✅ | ❌ | ❌ | ❌ | | SKILL Support | ✅ | ❌ | ❌ | ❌ |

Usage

Cloud Service

Visit 53AI Hub Cloud Service to apply. The cloud service includes Free, Standard, and Enterprise editions. The Enterprise version offers all features, and the Free version supports 10 agents and 100 registered users.

Community Open Source Edition

Refer to our Getting Started Guide for quick local deployment and our Documentation for in-depth usage.

Enterprise Customized Edition

We offer enterprise custom versions with features like integration with WeCom, DingTalk, and Feishu org structures. For custom needs, contact us via email.

Installing the Community Edition

System Requirements

Minimum configuration for installing 53AI Hub:

CPU ≥ 1 Core
RAM ≥ 2 GiB

Quick Installation

The recommended way to install 53AI Hub Community Edition is to run the one-line installer:

sudo curl -fsSL https://download.53ai.com/install.sh | bash

After the script finishes, follow the prompts to complete the setup and then visit http://localhost:3000 to access the administration panel and begin setup.

Alternative: Docker Installation

If you prefer Docker, you can still install from our docker/docker-compose.yaml file. Before running the installation command, ensure that https://docs.docker.com/get-docker/ and https://docs.docker.com/compose/install/ are installed on your machine.

Clone the repository

git clone https://github.com/53ai/53aihub.git
cd 53aihub

Run the following command

cd docker
docker compose up -d

Custom Configuration

Refer to the comments in .env.example, copy and rename it to .env, and edit the values. You may also modify docker-compose.yaml for things like image versions, port mappings, or volume mounts. After changes, rerun docker-compose up -d. You can find the full list of available environment variables here.