開発ツール
harnessrouter
One API for every agent harness — run Codex, Claude Code and more through a single self-hosted interface
★ 2.9k スターApache-2.0
ガイドを見る →lazycodexは、code-yeongyuが公開しているオープンソースの開発ツールプロジェクトです（GitHub: code-yeongyu/lazycodex）。GitHubスターは3,746、フォークは240で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
The agent harness for complex codebases inside Codex — project memory, planning and verified completion.
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.
One API for every agent harness — run Codex, Claude Code and more through a single self-hosted interface
A portable home for your AI agent — memory, keys and automations on Cloudflare.
OpenAI's lightweight coding agent that runs locally in your terminal
A high-performance coding agent harness in Rust - fast TUI, swarms and every provider
A coding-agent harness optimized for smaller local LLMs — small models, serious coding work
A local-first Agent OS — drive Claude Code, Codex and OpenCode from your browser.
LibreAIカタログに掲載された開発ツールプロジェクトの中で最もスターの多いもの — lazycodexが合わなかった場合に検討したい、現実的な候補リストです。
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
カタログの中でlazycodexとスター数が近い開発ツールプロジェクト — 前後の棚もそのまま見て回れます。
LeanCTX — the Rust context gateway that controls what your AI coding tools can see.
The official Java SDK for building Model Context Protocol servers and clients.
rmcp: the official Rust SDK for the Model Context Protocol — tokio-based servers and clients
Like htop, but for AI coding agents — watch Claude Code and Codex sessions in real time.
zvec-grep (zg): one local CLI unifying ripgrep-style exact search, BM25, and semantic vector search
A virtual terminal and filesystem that lets AI agents work across S3, Drive, Slack, Gmail and more.