Skillget

clawc

agent
Security Audit
Warn
Health Warn
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 8 GitHub stars
Code Pass
  • Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This project is a C++ reimplementation of an AI agent runtime and tool orchestration system. It attempts to rebuild the high-level architectural patterns of Anthropic's "Claude Code" from scratch using clean-room engineering principles.

Security Assessment
The automated code scan reviewed 12 files and found no dangerous patterns, hardcoded secrets, or requests for dangerous permissions. However, as a tool designed to connect LLMs with tool interfaces and manage execution loops, it inherently facilitates dynamic command execution. The project is in an extremely early phase and mostly consists of transitional stubs, making a deep behavioral security audit difficult. Overall risk is rated as Medium, primarily due to the unverified nature of a brand-new, complex execution engine and its rapid development cycle.

Quality Assessment
The repository is actively maintained, with a push occurring today. Despite active development, community trust is currently very low given it only has 8 stars. Furthermore, the project lacks a software license, meaning there are no clear legal terms for usage, modification, or distribution. The README admits the codebase is actively relying on temporary stubs, indicating it is highly experimental and not ready for production environments.

Verdict
Use with caution — the static scan is clean, but lack of licensing, low community visibility, and early-stage code mean this experimental engine is not suited for trusted workflows.
SUMMARY

Claude Code in C++ — clean-room rebuild of the leaked source code

README.md

ClawC

⚡ C++ Reimplementation of Claude Code's Agent Runtime ⚡

Inspired by the leaked Claude Code source — rebuilt from scratch in C++

[!IMPORTANT]
This repository is under active migration to a full C++ runtime.
Current source files include transitional stubs while modules are ported and validated.

⚠️ Context

After the Claude Code source leak on March 31, 2026, dozens of repositories appeared attempting to run or redistribute the original system.

This project takes a different approach:

Reconstruct the core architecture of Claude Code — in C++ — from first principles.

  • ❌ No leaked source code included
  • ❌ No direct copying
  • ✅ Clean-room reimplementation
  • ✅ Systems-level runtime design

🧠 What is this?

clawc is a clean-room C++ implementation of an AI agent harness —
inspired by the architectural patterns behind systems like Claude Code.

It focuses on:

  • Tool orchestration
  • Execution loops
  • Command systems
  • Task lifecycle management
  • Runtime coordination

🚀 Why this exists

Most current implementations are:

  • Python-heavy
  • Hard to scale
  • Weak in runtime control

This project explores:

What happens when agent systems are treated like real infrastructure?

⚡ Why C++?

  • ⚡ Deterministic performance
  • 🧠 Memory-level control
  • 🧵 Fine-grained concurrency
  • 🔧 Custom runtime engineering

If agents are the future — they need real engines, not wrappers.

🧩 What is an Agent Harness?

An agent harness is the system that:

  • Connects LLMs with tools
  • Manages execution loops
  • Tracks context and state
  • Coordinates multi-step reasoning

This repo focuses on building that system from the ground up in C++.

🏗️ Project Structure

.
├── src/
│   ├── core/        # runtime engine
│   ├── agent/       # execution loop
│   ├── tools/       # tool interface + registry
│   ├── commands/    # command system
│   ├── models/      # data structures
│   └── main.cpp
├── tests/
├── benchmarks/
└── README.md

🧪 Quickstart

git clone https://github.com/yourname/clawc
cd clawc

mkdir build && cd build
cmake ..
make

./clawc summary

Run tests:

ctest

📊 Vision

Most AI systems today are:

  • Slow
  • Script-heavy
  • Hard to control

This project explores:

Agent systems as real infrastructure — not demos.

⚖️ Legal & Ethical Position

  • This is a clean-room implementation
  • No proprietary or leaked code is included
  • Only high-level architectural patterns are studied

🧠 Philosophy

Don’t archive the system. Out-engineer it.

⭐ Why star this?

Because the future of AI isn’t prompts.

It’s runtime systems.

🚧 Status

Early stage — rapidly evolving.

  • Target language: C++
  • Current phase: module-by-module runtime migration
  • Temporary stubs may appear during active porting
  • Goal: full architecture and runtime parity in C++

If you're interested in:

  • AI agents
  • systems programming
  • runtime design

This repo is for you.

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