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🧱 Rewriting Project Claw Code

Claw

Better harness tools, focused on execution not merely storing the archive of leaked Claude Code


⭐ Support

If you find this project useful, consider giving it a star ⭐ and following me on GitHub.

Sponsor on GitHub


Star History

This repository started gaining traction shortly after I backed up the code within a few hours of discovery.

Star History Chart

## 🏆 Featured

Claw Codes was selected as Project of the Day — recognized for innovation in AI agent tooling.

👉 View Full Feature

Important

🚧🦀 Rust Port in Progress Rust port is now in progress on the dev/rust branch and is being merged into main as we build it. The Rust implementation aims to deliver a faster, memory-safe harness runtime. I'm collaborating with a close contributor to accelerate development process.

Stay tuned — this will become the core direction of the project.


🔄 Current Direction

Claw Codes is not a finished product. It is a system under active development, with a focus on:

  • 🦀 Rust-based core engine (in progress)
  • 🐍 Python orchestration layer
  • ⚙️ Improved execution pipeline
  • 🧩 Modular system architecture
  • 🔍 Continuous reverse engineering and refinement
  • 🧠 Exploration of agent-based system design
    Each part of the system is being designed with performance, clarity, and scalability in mind.

🧠 Vision

The goal of Claw Codes is to evolve into a foundation for:

  • intelligent execution systems
  • autonomous workflows
  • agent-driven applications
  • modular AI tooling infrastructure
    Rather than focusing solely on generation, the system prioritizes:

Execution, control, and structured automation


Rust Port

The Rust workspace under rust/ is the current systems-language port of the project.

It currently includes:

  • crates/api-client — API client with provider abstraction, OAuth, and streaming support
  • crates/runtime — session state, compaction, MCP orchestration, prompt construction
  • crates/tools — tool manifest definitions and execution framework
  • crates/commands — slash commands, skills discovery, and config inspection
  • crates/plugins — plugin model, hook pipeline, and bundled plugins
  • crates/compat-harness — compatibility layer for upstream editor integration
  • crates/claw-cli — interactive REPL, markdown rendering, and project bootstrap/init flows

Run the Rust build:

cd rust
cargo build --release

Backstory

Being written


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
├── rust/                               # Rust port (claw CLI)
│   ├── crates/api/                     # API client + streaming
│   ├── crates/runtime/                 # Session, tools, MCP, config
│   ├── crates/claw-cli/               # Interactive CLI binary
│   ├── crates/plugins/                 # Plugin system
│   ├── crates/commands/                # Slash commands
│   ├── crates/server/                  # HTTP/SSE server (axum)
│   ├── crates/lsp/                    # LSP client integration
│   └── crates/tools/                   # Tool specs
├── 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

💬 Support / Questions

For questions, discussions, or collaboration:

👉 Telegram: https://t.me/Carl_Crypt

Feel free to reach out if you’re interested in:

  • the architecture
  • contributions
  • ideas and improvements
  • general discussions about AI systems

💖 Support the Project

If you find this work useful, consider supporting 0xKarl-dev to help continue open-source harness engineering research.

🪙 Wallets

BTC

bc1q0dhqj9e3fwnmjf78ns33xee0g0plveq4w8khga

SOL

Eers7E3yXFDRQFouTFGmbR5rLLX3teHxLVSBEinUhcD3

EVM

0x6D4688C4c41b5481ea76FA03F3857C8F002476be

Click the address to easily copy


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.

Star History

See the chart at the top of this README.

Ownership / Affiliation Disclaimer

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

🤝 Contributing

Contributions are welcome. Ways to contribute:

  • Improve system architecture
  • Add new features
  • Optimize performance
  • Fix issues
  • Suggest improvements
  • Share ideas and feedback

📦 Status

Claw Codes is currently:

  • under active development
  • not yet stable
  • continuously evolving
    Expect frequent updates, restructuring, and improvements as the system matures.

⚠️ Disclaimer

Claw Codes is an independent, clean-room implementation and is not affiliated with, endorsed by, or maintained by any organization or company referenced in this project.

This repository is intended strictly for:

  • Educational purposes
  • Software architecture exploration
  • Defensive and research-driven development
  • Experimental AI system design

No proprietary claims are made over any external systems or codebases.


👤 Maintained By

0xKarl: https://x.com/0xKarl


About

Fastest repo on my GitHub to hit 50⭐ in under 2 hours. Building tools that get real things done. Now rewriting in Rust.

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