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

coze-dev/coze-studio

An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation. observed · 2026-08-28

github.com/coze-dev/coze-studio · TypeScript · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

73/100

  • Activity 95
  • Release rhythm 69
  • Longevity 31
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: 9.5
  • age_days: 434
  • days_rel: 209
  • days_push: 35
  • n_releases_24m: 9

Full methodology

Adoption not part of the score

21506 stars · 3124 forks observed · 2026-08-28

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

Coze Studio is an open-source, all-in-one AI agent development platform with visual, no-code/low-code tools for building, debugging, and deploying agents, apps, and workflows. Its Go backend and React/TypeScript frontend are built on a microservices architecture with DDD principles, supporting models like OpenAI and Volcengine plus RAG, plugins, and knowledge bases.

Use cases

  • build a chatbot without writing code
  • create AI agents with workflows and knowledge bases
  • self-host an agent development platform
  • build RAG applications over company documents
  • develop and publish AI apps with plugins
  • debug and deploy LLM-powered agents
  • integrate multiple LLM providers in one platform

When to choose

  • you want a visual, low-code environment for building AI agents
  • you need an all-in-one platform covering prompts, RAG, plugins, and workflows
  • you want to self-host a Coze-like agent platform
  • your team mixes developers and non-developers building AI apps

When to avoid

  • you only need a lightweight agent library or SDK to embed in code
  • you require fully custom agent logic beyond visual workflow tools
  • you cannot run Docker-based microservices infrastructure
  • you need a managed SaaS solution rather than self-hosting

Facets

application · maturity active

agent-framework rag chatbot workflow-automation llm-inference prompt-engineering web-framework self-hosted large-language-models chatbots developer-tools self-hosted self-hosted go cross-platform low-code no-code visual-builder agent-platform knowledge-base plugins microservices ddd openai volcengine ai-agents retrieval-augmented-generation docker web-server typescript

1 source

Member repositories

RepositoryRoleHealth v2
coze-dev/coze-studiomain73

For agents

markdown · JSON · MCP: product_card(name="coze-dev/coze-studio")

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