53AI

53AIHub: Manage AI Agents, Knowledge, Prompts, and Tools

53AIHub is an AI portal for organizations that want to publish and operate agents, prompts, tools, and knowledge bases in one place. It connects to platforms such as Coze, Dify, FastGPT, and RAGFlow, with options for cloud or self-hosted deployment.

Stars
4.3k
Forks
500
Stars, last 10 days
+5

Our take

Health score

47/100

How it is scored
Activity
58
Community
46
Issues
21
Pull requests
64

+5 stars in the last 10 days

Overview

53AIHub provides an operational portal for organizations managing AI applications across multiple platforms. It brings agents, prompts, tools, and knowledge bases into a shared interface, addressing the need to publish and organize these resources without building integrations and portal features from scratch.

It is aimed at teams that need application management, user access controls, and usage records alongside integrations with existing agent-development platforms. The project offers both a cloud service and a community edition for local deployment.

Key Features

  • Integrates with agent platforms including Coze, Dify, FastGPT, RAGFlow, and 53AI Studio.
  • Manages AI agents, prompts, and tools, including publishing, grouping, sorting, and permissions.
  • Supports registered and internal users, with login and usage records.
  • Offers configurable site templates and interface styles.
  • Supports knowledge-base and AI-workbench use cases.
  • Supports single sign-on through WeCom, DingTalk, and Feishu, as described in the project comparison.
  • Can be deployed through the cloud service or locally, with custom-domain support.

Use Cases

  • An enterprise team can publish agents built in several platforms through one portal and manage access centrally.
  • A department can organize shared prompts and AI tools, then control which users can access them.
  • An organization can give internal users a managed interface for AI resources and review login or usage records.
  • A team that needs more control over deployment can run the community edition on its own infrastructure instead of using the hosted service.

Getting Started

The README recommends a one-line installer for the community edition:

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

The stated minimum is 1 CPU core and 2 GiB RAM. After installation, the README directs users to http://localhost:3000 for setup. See the README and documentation for deployment options and configuration details.

Alternatives

  • Guaardvark: Guaardvark is a self-hosted AI studio centered on local model execution and media generation, rather than a portal for publishing and operating integrated agents.
  • cabinet: Cabinet focuses on Markdown-based personal knowledge, agents, and team workflows, rather than a centralized portal for integrating external agent platforms.
ProjectLanguageLicenseStarsStatus
53AIHubGoOther4.3kNot checked yet
guaardvarkPythonMIT244Active
cabinetTypeScriptMIT2.9kActive

Considerations

  • The README states a minimum system requirement of 1 CPU core and 2 GiB RAM for installation.
  • The repository's license field is NOASSERTION; the README describes a 53AI Open Source License based on Apache 2.0 with additional restrictions. Review the license terms before adopting it.
  • Integrations depend on the agent platforms and services your organization uses. Confirm the required integrations and configuration in the documentation.
  • The project offers hosted and local deployment paths, but the README distinguishes community and enterprise offerings. Check edition details if you need features such as enterprise integrations.
  • Repository: 53AI/53AIHub.

Found this useful?

Share it with someone who would like 53AIHub.

Comparisons