code-yeongyu/lazycodex
The one and only agent harness for complex codebases. Project memory, planning, execution, and verified completion inside Codex.
About the project
An agent harness distribution for Codex that adds project memory, planning, execution and verified completion to complex codebases. Installs as a plugin with commands and skills for planning, running and reviewing implementation work.
Useful for
- Generate hierarchical AGENTS.md project memory with $init-deep
- Plan a feature before coding with $ulw-plan and execute it via $start-work
- Run $ulw-loop to iterate until completion is verified
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 10 stars so far today, about 29 expected by the end of the day. The usual pace is 7 per day, so that's 3.9× as much.
- Over the last two days the pace is 7× that of the previous week and a half.
- The spike has held for 3 days in a row — not a one-off blip.
- GitHub Trending TypeScript today: #13, +63 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 3,573
- Today
- 10 · ≈ 29 by evening
- Forks
- 224
- Issues and pull requests
- 163
- Watchers
- 11
- Language
- TypeScript
- License
- MIT
- Latest release
- v5.0.0-beta.82 · September 22, 2026
- Created
- May 25, 2026
- Last push
- September 22, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 22, 2026GitHub Trending TypeScript today: #13, +63 stars
Share
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/code-yeongyu/lazycodex)Similar by description
-
3.1
Fission-AI/OpenSpec
OpenSpec is a spec-driven development framework for AI coding assistants: it turns ideas into Markdown specs with requirements and scenarios before any code is written. It supports 30+ tools (Cursor, Copilot, Codex,…
-
4.5
affaan-m/ECC
A performance optimization system for coding agents: a set of agents, skills, memory, and rules that adds a plan-test-review-remember workflow to Claude Code, Codex, Cursor, and other harnesses.