
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.
[!IMPORTANT] The active Rust workspace now lives in
rust/. Start withUSAGE.mdfor build, auth, CLI, session, and parity-harness workflows, then userust/README.mdfor crate-level details.
Want the bigger idea behind this repo? Read
PHILOSOPHY.mdand Sigrid Jin's public explanation: https://x.com/realsigridjin/status/2039472968624185713
Shout-out to the UltraWorkers ecosystem powering this repo: clawhip, oh-my-openagent, oh-my-claudecode, oh-my-codex, and the UltraWorkers Discord.
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

The main source tree is now Python-first.
src/ contains the active Python porting workspacetests/ verifies the current Python workspaceThe current Python workspace is not yet a complete one-to-one replacement for the original system, but the primary implementation surface is now Python.
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.
.
├── 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
The new Python src/ tree currently provides:
port_manifest.py — summarizes the current Python workspace structuremodels.py — dataclasses for subsystems, modules, and backlog statecommands.py — Python-side command port metadatatools.py — Python-side tool port metadataquery_engine.py — renders a Python porting summary from the active workspacemain.py — a CLI entrypoint for manifest and summary outputRender 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
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.
oh-my-codexThe 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 disciplinesrc/ tree into a Python-first porting workspace
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.
Join the instructkr Discord — the best Korean language model community. Come chat about LLMs, harness engineering, agent workflows, and everything in between.
See the chart at the top of this README.
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