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

BidingCC/BuildingAI

AI时代的WordPress,东半球首个积木式AI应用搭建系统,人人都可免费搭建自己的AI应用系统,例如企业智能体系统、AI漫剧系统、AI论文学术系统、AI客服系统... observed · 2026-08-28

github.com/BidingCC/BuildingAI · homepage · TypeScript · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

86/100

  • Activity 98
  • Release rhythm 97
  • Longevity 38
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 7
  • age_days: 537
  • days_rel: 20
  • days_push: 12
  • n_releases_24m: 32

Full methodology

Adoption not part of the score

1870 stars · 452 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

BuildingAI is an open-source, enterprise-grade platform for visually assembling AI applications without code, described as the 'WordPress of the AI era'. It bundles agents, RAG knowledge bases, drag-and-drop workflows, MCP support, multi-model aggregation, and business features like subscriptions and compute billing into a self-hostable system.

Use cases

  • build a private AI chatbot platform without coding
  • create an enterprise AI agent system with knowledge base RAG
  • set up an AI customer service system with subscription billing
  • assemble AI apps from a marketplace like building blocks
  • self-host an AI platform compatible with Coze and Dify agents
  • connect local LLMs via Ollama to a visual agent builder
  • monetize AI applications with membership and compute billing

When to choose

  • you want a self-hosted, all-in-one AI app platform with agents, RAG, and MCP built in
  • you need business features like payments, subscriptions, and user management out of the box
  • you prefer visual no-code configuration over writing code
  • you want compatibility with Coze/Dify agents and local models like Ollama

When to avoid

  • you only need a lightweight agent framework or SDK to embed in existing code
  • you prefer building custom pipelines programmatically with LangChain-style libraries
  • you need a fully free solution without commercial enterprise-tier pressure
  • your infrastructure cannot run Docker with at least 4GB RAM

Facets

application · maturity active

agent-framework rag chatbot llm-inference mcp web-framework workflow-automation self-hosted artificial-intelligence chatbots large-language-models self-hosted web-development self-hosted cross-platform no-code visual-workflow knowledge-base model-aggregation membership-billing app-marketplace coze-compatible dify-compatible ai-agents retrieval-augmented-generation web-server docker nodejs

3 sources

Member repositories

RepositoryRoleHealth v2
BidingCC/BuildingAImain86

For agents

markdown · JSON · MCP: product_card(name="BidingCC/BuildingAI")

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