code-yeongyu

    code-yeongyu/lazycodex

    The one and only agent harness for complex codebases. Project memory, planning, execution, and verified completion inside Codex.

    ai
    ai-agents
    cli
    developer-tools
    claude
    claude-code
    codex
    lazy
    lazycodex
    TypeScript
    MIT
    3.9K stars
    252 forks
    3.9K GitHub watchers
    Updated Nov 5, 2026
    View on GitHub

    Build with Backblaze B2

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest today, with 3 contributors on GitHub.

    Use Cases & Benefits

    • Provides an AI agent harness for managing complex codebases with project memory, planning, execution, and verified completion inside Codex.
    • Enables disciplined multi-agent orchestration with automatic model routing and extensible skills, optimizing AI resource use and ensuring reliable task completion.
    • Use for automating strategic planning and execution of software development tasks in large, complex TypeScript projects.
    • Use for integrating AI-driven codebase analysis and hierarchical project memory generation to assist multi-agent collaboration.
    • Use for running continuous verification loops that ensure AI-generated code changes meet specified criteria before completion.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

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    From the README

    The one and only agent harness for complex codebases.

    Project memory, planning, execution, and verified completion inside Codex.

    The npx installer above stays the primary path. As an additive, experimental alternative you can install from inside Codex itself: type /plugins, open the Add Marketplace tab ("Add a marketplace from a Git repo or local root."), and enter https://github.com/code-yeongyu/lazycodex, then install omo from the sisyphuslabs marketplace. Or from the CLI:

    On the next launch, approve the omo hooks in Codex's startup review — hooks never run before approval. The first approved session prints LazyCodex bootstrap running in background — restart the session when it completes while a background worker finishes the setup (config blocks, agent roles, bin links, a pinned sg binary for the ast_grep MCP); restart when it is done. The marketplace path never touches Codex permission settings — autonomous mode remains the explicit npx lazycodex-ai install --no-tui --codex-autonomous choice.

    Upgrade with codex plugin marketplace upgrade sisyphuslabs. The next startup review shows the hooks as Modified — expected after every upgrade — re-approve them and the following session re-runs bootstrap on the new version. If anything looks pending or degraded, npx lazycodex-ai doctor explains what and why. Full details: lazycodex.ai/docs.

    Excerpt from the code-yeongyu/lazycodex README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 6: +7Sep 23: +14

    +487 stars over 62 days across 8 snapshot days; best day +14 on Sep 23.

    Forks

    252+38

    Open issues

    18-1

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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