Which is more popular, career-ops or Codex?

Codex has more GitHub stars (127,411 vs 73,142).

Which is more actively developed, career-ops or Codex?

Codex had more commits in the last 90 days (3,730 vs 1,973).

Should I use career-ops or Codex?

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.

career-ops vs Codex

Side-by-side comparison of two AI agent tools

career-opsopen-source

Open-source AI job search agent: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications —

Codexopen-source

Lightweight coding agent that runs in your terminal

Metrics

	career-ops	Codex
Stars	73.1k	127.4k
Star velocity /mo	6.1k	9.5k
Commits (90d)	2.0k	3.7k
Releases (6m)	10	10
Overall score	0.9279277574775668	0.9477170428079889

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

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

Use Cases

•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)

View career-ops Details View Codex Details

FAQ

Which is more popular, career-ops or Codex?: Codex has more GitHub stars (127,411 vs 73,142).
Which is more actively developed, career-ops or Codex?: Codex had more commits in the last 90 days (3,730 vs 1,973).
Should I use career-ops or Codex?: 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.