ChatDev vs Dev-GPT
Side-by-side comparison of two AI agent tools
Short answer
- Dev-GPT has had no commit in 39 months; ChatDev is actively maintained (3 commits in the last 90 days).
- ChatDev is growing faster: +402 GitHub stars in the last 30 days vs +-0 for Dev-GPT.
- Pick ChatDev for: chatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration. Pick Dev-GPT for: your Virtual Development Team.
From GitHub data refreshed daily.
ChatDevopen-source
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
Dev-GPTopen-source
Your Virtual Development Team
Metrics
| ChatDev | Dev-GPT | |
|---|---|---|
| Stars | 34.4k | 1.9k |
| Star velocity /mo | 401.8421052631579 | -0.3157894736842105 |
| Commits (90d) | 3 | 0 |
| Releases (6m) | 0 | 0 |
| Downloads (30d, npm + PyPI) | — | 70 |
| Overall score | 0.432443435811532 | 0.12310180580341948 |
Pros
- +Zero-code configuration makes multi-agent systems accessible to non-technical users
- +Proven track record with strong community adoption (31,000+ GitHub stars)
- +Versatile platform capable of handling diverse scenarios from software development to research automation
- +Multi-agent AI system with specialized roles (Product Manager, Developer, DevOps) provides comprehensive development coverage
- +Simple installation and CLI interface makes it accessible to developers of all skill levels
- +Cross-platform support and integration with popular APIs (OpenAI, Google) ensures broad compatibility
Cons
- -Recently transitioned from 1.0 to 2.0, potentially introducing stability concerns during the migration period
- -Limited technical documentation available for the new 2.0 platform features
- -May be overly complex for simple automation tasks that don't require multi-agent coordination
- -Experimental version status indicates potential instability and incomplete features
- -Requires paid OpenAI API access, adding ongoing operational costs
- -Limited scope to microservice development only, not suitable for larger applications or different architectural patterns
Use Cases
- •Automated software development with virtual teams of specialized AI agents (CEO, CTO, Programmer roles)
- •Complex research automation requiring coordination between multiple AI agents with different expertise
- •Data visualization and 3D generation projects that benefit from multi-agent workflow orchestration
- •Rapid prototyping of microservices for MVP development and proof-of-concept projects
- •Solo developers or small teams lacking expertise in specific areas (DevOps, architecture) who need full-stack automation
- •Learning and experimentation with microservice architecture patterns through AI-generated examples
FAQ
- Which is more popular, ChatDev or Dev-GPT?
- ChatDev has more GitHub stars (34,437 vs 1,866).
- Which is more actively developed, ChatDev or Dev-GPT?
- ChatDev had more commits in the last 90 days (3 vs 0).
- Should I use ChatDev or Dev-GPT?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.