Plandex vs QwenLM/qwen-code

Side-by-side comparison of two AI agent tools

Short answer

  • Plandex has had no commit in 12 months; QwenLM/qwen-code is actively maintained (3,463 commits in the last 90 days).
  • QwenLM/qwen-code is growing faster: +465 GitHub stars in the last 30 days vs +85 for Plandex.
  • Pick Plandex for: open source AI coding agent. Pick QwenLM/qwen-code for: an open-source AI coding agent that lives in your terminal.

From GitHub data refreshed daily.

Plandexopen-source

Open source AI coding agent. Designed for large projects and real world tasks.

Q
QwenLM/qwen-codeopen-source

An open-source AI coding agent that lives in your terminal.

Metrics

PlandexQwenLM/qwen-code
Stars15.7k28.3k
Star velocity /mo84.6031746031746465
Commits (90d)03.5k
Releases (6m)010
Overall score0.26985555710146260.8642094222460844

Pros

  • +Exceptional context handling with 2M+ token capacity for understanding large, complex codebases
  • +Purpose-built for real-world, multi-file projects rather than simple single-file tasks
  • +Open-source with self-hosting options, providing full control over your development environment

    Cons

    • -Terminal-based interface may not appeal to developers who prefer GUI tools
    • -Potentially overkill for simple, single-file coding tasks or quick fixes
    • -Requires setup and configuration that may be complex for casual users

      Use Cases

      • •Large-scale refactoring projects that touch dozens of files across a codebase
      • •Implementing comprehensive features that require changes across multiple components and layers
      • •Modernizing legacy codebases with systematic updates and architectural improvements

        FAQ

        Which is more popular, Plandex or QwenLM/qwen-code?
        QwenLM/qwen-code has more GitHub stars (28,273 vs 15,688).
        Which is more actively developed, Plandex or QwenLM/qwen-code?
        QwenLM/qwen-code had more commits in the last 90 days (3,463 vs 0).
        Should I use Plandex or QwenLM/qwen-code?
        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.