OpenBMB/ChatDev
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration observed · 2026-08-28
Health v2 · maintenance only
80/100
- Activity 94
- Release rhythm 63
- Longevity 78
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: 59
- age_days: 1102
- days_rel: 164
- days_push: 40
- n_releases_24m: 4
Adoption not part of the score
34126 stars · 4266 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
ChatDev 2.0 (DevAll) is a zero-code multi-agent orchestration platform where users configure agents, workflows, and tasks to build LLM-powered collaborative systems without coding. Its legacy version (ChatDev 1.0) simulated a virtual software company with role-playing agents automating the software development life cycle.
Use cases
- orchestrate multiple LLM agents to complete complex tasks
- build multi-agent workflows without writing code
- automate software development with AI agents acting as CEO, CTO, and programmers
- run deep research or data visualization pipelines via agent collaboration
- experiment with communicative agent collaboration paradigms from research
- generate 3D content or reports through configured agent teams
When to choose
- you want a configurable, zero-code platform for multi-agent LLM systems
- you're researching multi-agent collaboration and orchestration strategies
- you want to automate end-to-end software development with role-playing agents
- you need an open-source, well-cited academic agent framework
When to avoid
- you need a production-grade single-agent chatbot with simple API integration
- you require fine-grained programmatic control over agent internals rather than configuration
- your project needs minimal LLM token costs, since multi-agent pipelines are token-intensive
- you need a framework with broad third-party plugin ecosystem support
Facets
framework · maturity active
agent-framework llm-inference workflow-automation prompt-engineering artificial-intelligence large-language-models developer-tools python cross-platform multi-agent llm-agents zero-code orchestration software-development-agents chatdev ai-agents automation docker
6 sources
- readme: https://github.com/OpenBMB/ChatDev · fetched 2026-08-28 · 977351cb74c4
- homepage: https://arxiv.org/abs/2307.07924 · fetched 2026-08-29 · dd84327f6761
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| OpenBMB/ChatDev | main | 80 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem