Which is more popular, Autopilot or Codex?

Codex has more GitHub stars (127,691 vs 608).

Which is more actively developed, Autopilot or Codex?

Codex had more commits in the last 90 days (3,879 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Autopilot has had no commit in 33 months; Codex is actively maintained (3,879 commits in the last 90 days).
Codex is growing faster: +9,427 GitHub stars in the last 30 days vs +-1 for Autopilot.
Pick Autopilot for: code Autopilot, a tool that uses GPT to read a codebase, create context and solve tasks. Pick Codex for: lightweight coding agent that runs in your terminal.

From GitHub data refreshed daily.

Code Autopilot, a tool that uses GPT to read a codebase, create context and solve tasks.

Codexopen-source

Lightweight coding agent that runs in your terminal

+Intelligent codebase preprocessing with metadata database for contextual file selection and task execution
+Parallel processing capabilities for faster execution and comprehensive multi-file code changes
+Interactive mode with full process logging, retry options, and transparent tracking of AI interactions

+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

-Cannot start new files from scratch or delete existing files, limiting greenfield development use cases
-No support for installing new third-party libraries or testing and self-fixing generated code
-Cannot cascade updates to related files like tests or handle complex dependency management

-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

•Updating multiple existing files when implementing feature requests or refactoring business logic across a codebase
•Modifying specific functions or components referenced by name without needing to specify exact file locations
•Automating GitHub issue resolution through the integrated app for repository maintenance and development workflows

•Terminal-based coding assistance for developers who prefer command-line workflows
•Local AI code generation and debugging while maintaining code privacy
•Integrated development workflow across multiple environments (terminal, IDE, desktop)

Which is more popular, Autopilot or Codex?: Codex has more GitHub stars (127,691 vs 608).
Which is more actively developed, Autopilot or Codex?: Codex had more commits in the last 90 days (3,879 vs 0).
Should I use Autopilot or Codex?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.