ChatDev vs Devika
Side-by-side comparison of two AI agent tools
Short answer
- Devika has had no commit in 12 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 +9 for Devika.
- Pick ChatDev for: chatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration. Pick Devika for: devika is the first open-source implementation of an Agentic Software Engineer.
From GitHub data refreshed daily.
ChatDevopen-source
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
Devikaopen-source
Devika is the first open-source implementation of an Agentic Software Engineer. Initially started as an open-source alternative to Devin.
Metrics
| ChatDev | Devika | |
|---|---|---|
| Stars | 34.4k | 19.6k |
| Star velocity /mo | 401.8421052631579 | 9.31578947368421 |
| Commits (90d) | 3 | 0 |
| Releases (6m) | 0 | 0 |
| Overall score | 0.432443435811532 | 0.18934512368151743 |
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-LLM support with flexibility to choose from commercial providers (Claude 3, GPT-4, Gemini) or run local models via Ollama
- +Comprehensive AI capabilities including planning, reasoning, web research, and multi-language code generation in a single platform
- +Open-source alternative to proprietary solutions like Devin, allowing community contributions and customization
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
- -Currently in early development/experimental stage with many unimplemented and broken features
- -Requires specific Python version constraints (>= 3.10 and < 3.12) which may limit compatibility
- -Performance heavily dependent on chosen LLM provider, with optimal results requiring paid commercial models
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
- •Creating new software features from high-level requirements with minimal human guidance
- •Debugging and fixing existing code issues through AI-powered analysis and solution generation
- •Developing entire projects from scratch by breaking down complex objectives into manageable coding tasks
FAQ
- Which is more popular, ChatDev or Devika?
- ChatDev has more GitHub stars (34,437 vs 19,556).
- Which is more actively developed, ChatDev or Devika?
- ChatDev had more commits in the last 90 days (3 vs 0).
- Should I use ChatDev or Devika?
- 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.