Codex vs smolagents
Side-by-side comparison of two AI agent tools
Short answer
- Codex is growing faster: +9,427 GitHub stars in the last 30 days vs +531 for smolagents.
- Pick Codex for: lightweight coding agent that runs in your terminal. Pick smolagents for: smolagents: a barebones library for agents that think in code.
From GitHub data refreshed daily.
Codexopen-source
Lightweight coding agent that runs in your terminal
smolagentsopen-source
π€ smolagents: a barebones library for agents that think in code.
Metrics
| Codex | smolagents | |
|---|---|---|
| Stars | 127.7k | 29.7k |
| Star velocity /mo | 9.4k | 531 |
| Commits (90d) | 3.9k | 10 |
| Releases (6m) | 10 | 2 |
| Overall score | 0.9400430275832156 | 0.625603384872754 |
Pros
- +Runs locally on your machine, providing better privacy and control over your code
- +Seamless integration with existing ChatGPT subscriptions without requiring separate API setup
- +Multiple deployment options including CLI, IDE extensions, desktop app, and web access
- +Code-first agent approach provides precise control over agent actions compared to natural language-based systems
- +Extremely lightweight architecture with core logic in ~1,000 lines of code, making it easy to understand and customize
- +Multiple sandboxed execution options ensure secure code execution in production environments
Cons
- -Requires ChatGPT Plus/Pro subscription or separate API key setup for full functionality
- -Limited documentation suggests the tool may still be in early development stages
- -Limited documentation in the provided source, potentially creating learning curve for new users
- -Code-based approach may require more programming knowledge compared to natural language agent frameworks
- -Dependency on external sandbox providers (Blaxel, E2B, Modal) for secure execution may add complexity
Use Cases
- β’Terminal-based coding assistance for developers who prefer command-line workflows
- β’Local AI code generation and debugging while maintaining code privacy
- β’Integrated development workflow across multiple environments (terminal, IDE, desktop)
- β’Building AI agents that need to perform precise code-based actions like data analysis, file manipulation, or API integrations
- β’Developing secure agent systems where code execution must be isolated in sandboxed environments
- β’Creating shareable agent tools and workflows that can be distributed through the Hugging Face Hub ecosystem
FAQ
- Which is more popular, Codex or smolagents?
- Codex has more GitHub stars (127,691 vs 29,662).
- Which is more actively developed, Codex or smolagents?
- Codex had more commits in the last 90 days (3,879 vs 10).
- Should I use Codex or smolagents?
- 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.