claw-code

Rewriting Project Claw Code

⭐ The fastest repo in history to surpass 50K stars, reaching the milestone in just 2 hours after publication ⭐

Autonomously maintained by lobsters/claws — not by human hands

clawhip · oh-my-openagent · oh-my-claudecode · oh-my-codex · UltraWorkers Discord

[!IMPORTANT] The active Rust workspace now lives in rust/. Start with USAGE.md for build, auth, CLI, session, and parity-harness workflows, then use rust/README.md for crate-level details.

Shout-out to the UltraWorkers ecosystem powering this repo: clawhip, oh-my-openagent, oh-my-claudecode, oh-my-codex, and the UltraWorkers Discord.

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Backstory

This repo is maintained by lobsters/claws, not by a conventional human-only dev team.

The people behind the system are Bellman / Yeachan Heo and friends like Yeongyu, but the repo itself is being pushed forward by autonomous claw workflows: parallel coding sessions, event-driven orchestration, recovery loops, and machine-readable lane state.

In practice, that means this project is not just about coding agents — it is being actively built by them. Features, tests, telemetry, docs, and workflow hardening are landed through claw-driven loops using clawhip, oh-my-openagent, oh-my-claudecode, and oh-my-codex.

This repository exists to prove that an open coding harness can be built autonomously, in public, and at high velocity — with humans setting direction and claws doing the grinding.

See the public build story here:

https://x.com/realsigridjin/status/2039472968624185713

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Porting Status

The main source tree is now Python-first.

• src/ contains the active Python porting workspace
• tests/ verifies the current Python workspace
• the exposed snapshot is no longer part of the tracked repository state

The current Python workspace is not yet a complete one-to-one replacement for the original system, but the primary implementation surface is now Python.

Why this rewrite exists

I originally studied the exposed codebase to understand its harness, tool wiring, and agent workflow. After spending more time with the legal and ethical questions—and after reading the essay linked below—I did not want the exposed snapshot itself to remain the main tracked source tree.

This repository now focuses on Python porting work instead.

Repository Layout

.
├── src/                                # Python porting workspace
│   ├── __init__.py
│   ├── commands.py
│   ├── main.py
│   ├── models.py
│   ├── port_manifest.py
│   ├── query_engine.py
│   ├── task.py
│   └── tools.py
├── tests/                              # Python verification
├── assets/omx/                         # OmX workflow screenshots
├── 2026-03-09-is-legal-the-same-as-legitimate-ai-reimplementation-and-the-erosion-of-copyleft.md
└── README.md

Python Workspace Overview

The new Python src/ tree currently provides:

• port_manifest.py — summarizes the current Python workspace structure
• models.py — dataclasses for subsystems, modules, and backlog state
• commands.py — Python-side command port metadata
• tools.py — Python-side tool port metadata
• query_engine.py — renders a Python porting summary from the active workspace
• main.py — a CLI entrypoint for manifest and summary output

Quickstart

Render the Python porting summary:

python3 -m src.main summary

Print the current Python workspace manifest:

python3 -m src.main manifest

List the current Python modules:

python3 -m src.main subsystems --limit 16

Run verification:

python3 -m unittest discover -s tests -v

Run the parity audit against the local ignored archive (when present):

python3 -m src.main parity-audit

Inspect mirrored command/tool inventories:

python3 -m src.main commands --limit 10
python3 -m src.main tools --limit 10

Current Parity Checkpoint

The port now mirrors the archived root-entry file surface, top-level subsystem names, and command/tool inventories much more closely than before. However, it is not yet a full runtime-equivalent replacement for the original TypeScript system; the Python tree still contains fewer executable runtime slices than the archived source.

Built with oh-my-codex

The restructuring and documentation work on this repository was AI-assisted and orchestrated with Yeachan Heo's oh-my-codex (OmX), layered on top of Codex.

• $team mode: used for coordinated parallel review and architectural feedback
• $ralph mode: used for persistent execution, verification, and completion discipline
• Codex-driven workflow: used to turn the main src/ tree into a Python-first porting workspace

OmX workflow screenshots

Ralph/team orchestration view while the README and essay context were being reviewed in terminal panes.

Split-pane review and verification flow during the final README wording pass.

Community

Join the instructkr Discord — the best Korean language model community. Come chat about LLMs, harness engineering, agent workflows, and everything in between.

Star History

See the chart at the top of this README.

Ownership / Affiliation Disclaimer

• This repository does not claim ownership of the original Claude Code source material.
• This repository is not affiliated with, endorsed by, or maintained by Anthropic.