OpenBMB/ChatDev
Some data may be outdated — see provenance labels.
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration observed · 2026-09-24
Health v2 · maintenance only
75/100
- Activity 86
- Release rhythm 56
- Longevity 82
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 59
- age_days: 1150
- days_rel: 212
- days_push: 88
- n_releases_24m: 4
Adoption not part of the score
34379 stars · 4303 forks observed · 2026-09-24
What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-28, confidence 0.94
ChatDev 2.0 (DevAll) is a zero‑code multi‑agent platform that lets users configure and run complex LLM‑driven workflows without writing code. It provides a unified interface for defining agents, tasks, and orchestration logic to automate software development and other creative tasks.
Use cases
- automate the entire software development lifecycle from design to testing using LLM agents
- create custom multi‑agent pipelines for data visualization or 3D content generation
- rapidly prototype AI‑driven applications without writing any code
- orchestrate collaborative agents for research, documentation, or deep analysis tasks
- build and run zero‑code AI workflows for business process automation
When to choose
- You need a flexible, no‑code environment to build and run multi‑agent LLM workflows
- Your project requires rapid prototyping of AI‑driven pipelines with minimal programming effort
- You want a unified platform that can manage agents, tasks, and orchestration in a single configuration
- You are working on software development automation, data visualization, or similar creative tasks
When to avoid
- You require fine‑grained low‑level control over agent internals or custom model training
- Performance constraints demand highly optimized, hand‑crafted code rather than a zero‑code platform
- Your deployment environment does not support Python or the required dependencies
- You need a lightweight CLI‑only tool without a web interface or orchestration layer
Facets
application · maturity active
agent-framework cli http-server llm-inference rag artificial-intelligence large-language-models chatbots windows cli python zero-code multi-agent-orchestration software-development llm-powered devall software-engineering automation linux macos web-server
6 sources
- readme: https://github.com/OpenBMB/ChatDev · fetched 2026-09-24 · 977351cb74c4
- homepage: https://arxiv.org/abs/2307.07924 · fetched 2026-09-14 · dd84327f6761
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-09-14 · 10aa574961b4
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-09-14 · cca9c3a11c56
- site_page: https://info.arxiv.org/about · fetched 2026-09-14 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-09-14 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| OpenBMB/ChatDev | main | 75 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem