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.

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⚠️ 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

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🧠 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

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🚀 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?

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⚡ Why C++?

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

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

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🧩 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++.

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🏗️ 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

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🧪 Quickstart

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

mkdir build && cd build
cmake ..
make

./clawc summary

Run tests:

ctest

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📊 Vision

Most AI systems today are:

• Slow
• Script-heavy
• Hard to control

This project explores:

Agent systems as real infrastructure — not demos.

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⚖️ Legal & Ethical Position

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

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🧠 Philosophy

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

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⭐ Why star this?

Because the future of AI isn’t prompts.

It’s runtime systems.

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🚧 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.