Ross ROSS = Recommend OSS · open-source software intelligence for agents

53AI/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 observed · 2026-08-28

github.com/53AI/53AIHub · homepage · TypeScript · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

85/100

  • Activity 98
  • Release rhythm 98
  • Longevity 35

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 14.5
  • age_days: 496
  • days_rel: 14
  • days_push: 14
  • n_releases_24m: 13

Full methodology

Adoption not part of the score

4634 stars · 514 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

53AI Hub is an open-source AI portal and knowledge base platform for publishing and operating AI agents, prompts, and AI tools. It integrates with agent development platforms like Coze, Dify, FastGPT, and RAGFlow, and supports cloud or local one-click deployment with enterprise-grade user management.

Use cases

  • build an AI portal to publish and operate agents from Coze and Dify
  • create an enterprise knowledge base aggregating agents, prompts, and AI tools
  • deploy a self-hosted AI hub with custom domain and branding
  • manage registered and internal users with SSO via WeCom, DingTalk, or Feishu
  • track visitor analytics and user engagement for an AI site
  • set up subscription plans to monetize AI agent access

When to choose

  • you need a no-code portal to aggregate agents built across multiple platforms like Coze, Dify, FastGPT, or RAGFlow
  • you want enterprise features such as user permissions, internal users, and SSO that chat UIs like NextChat or LobeHub lack
  • you need both cloud hosting and full local/self-hosted deployment with data control

When to avoid

  • you only need a simple personal chat interface for LLMs without agent publishing or user management
  • you require a permissively licensed open-source project for commercial redistribution without checking licensing terms
  • you need to build agents from scratch rather than publish and operate existing ones

Facets

application · maturity active

rag agent-framework chatbot web-framework analytics auth mcp artificial-intelligence large-language-models chatbots self-hosted web-development self-hosted cross-platform cloud ai-portal agent-publishing prompt-management coze dify fastgpt ragflow enterprise-knowledge-base no-code user-operations ai-agents retrieval-augmented-generation knowledge web-server docker

2 sources

Member repositories

RepositoryRoleHealth v2
53AI/53AIHubmain85

For agents

markdown · JSON · MCP: product_card(name="53AI/53AIHub")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem