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One API for every agent harness — run Codex, Claude Code and more through a single self-hosted interface
★ 2.9k starsApache-2.0
View guide →The agent harness for complex codebases inside Codex — project memory, planning and verified completion.
lazycodex is an open-source dev tools project by code-yeongyu (code-yeongyu/lazycodex on GitHub). It has 3,746 GitHub stars and 240 forks, is released under the MIT license, and was last updated on GitHub on 8 October 2026.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
$init-deep builds persistent project memory so the agent understands your codebase across sessions.
Built-in workflows keep planning, execution and verification front and centre for complex tasks.
Skills cover specialised work beyond the core coding loop.
Sub-agent roles ride on Codex's native multi-agent tools for parallel work.
npx lazycodex-ai install sets everything up, with a doctor command to verify and an uninstall command to remove it.
Install flags such as --codex-autonomous configure a more hands-off setup.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/code-yeongyu/lazycodex.git
cd lazycodexRun the installer inside your environment.
npx lazycodex-ai installCheck the setup, then start Codex and initialise project memory for your repo.
npx lazycodex-ai doctor
# then in Codex: $init-deep # see README for workflow detailsIt is maintained by code-yeongyu on GitHub (code-yeongyu/lazycodex), where the source, issues and releases live.
Yes — it is free and open source under the MIT licence, which permits use, modification and redistribution, including commercially, with attribution.
LazyCodex itself is free, but it runs inside Codex, so you need access to Codex (an OpenAI plan or API key) as the README describes.
Compared with using Codex alone or oh-my-openagent-style harnesses, lazycodex's distinguishing focus is: the agent harness for complex codebases inside Codex — project memory, planning and verified completion. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/code-yeongyu/lazycodex (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
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