Plandex vs Vibe Kanban

Side-by-side comparison of two AI agent tools

Short answer

  • Plandex has had no commit in 12 months; Vibe Kanban is actively maintained (10 commits in the last 90 days).
  • Vibe Kanban is growing faster: +290 GitHub stars in the last 30 days vs +84 for Plandex.
  • Pick Plandex for: open source AI coding agent. Pick Vibe Kanban for: get 10X more out of Claude Code, Codex or any coding agent.

From GitHub data refreshed daily.

Plandexopen-source

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

V
Vibe Kanbanopen-source

Get 10X more out of Claude Code, Codex or any coding agent

Metrics

PlandexVibe Kanban
Stars15.7k28.3k
Star velocity /mo84290
Commits (90d)010
Releases (6m)03
Downloads (30d, npm + PyPI)—10.2K
Overall score0.25852333373697580.5685123362132869

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
        View Plandex DetailsView Vibe Kanban Details

        FAQ

        Which is more popular, Plandex or Vibe Kanban?
        Vibe Kanban has more GitHub stars (28,253 vs 15,687).
        Which is more actively developed, Plandex or Vibe Kanban?
        Vibe Kanban had more commits in the last 90 days (10 vs 0).
        Should I use Plandex or Vibe Kanban?
        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.