claudecode

by soongenwongVerified

Open Source ClaudeCode Leaked. Same functionalities as Claude Code by Anthropic. Written in Rust, Ready to use immediately for free.

1,194
Stars
424
Forks
Rust
Language
8/23/2026
Added
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/soongenwong/claudecode

Getting Started

Guides for using skills like claudecode.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

ClaudeCode (Open Source)

A high-performance, open-source AI coding agent written in Rust.

ClaudeCode is a terminal-native CLI agent designed to bring advanced LLM capabilities directly into your development workflow. Built for speed, safety, and efficiency, it provides an interactive agent shell, workspace-aware tools, and persistent session management. It is an independent open-source implementation inspired by Claude Code, not the official Anthropic product.

View Count

Star History

ClaudeCode Star History

Related Projects

Key Features

  • Rust-powered: Built with Rust for memory safety, minimal binary size, and high execution speed.
  • Live TUI dashboard: A split-pane ratatui interface showing the agent's pipeline, a workspace tree that recolors as files are scanned/read/modified, and a syntax-highlighted diff that streams in character-by-character.
  • Agentic CLI: Interactive shell and one-shot prompt support for seamless terminal workflows.
  • Model flexible: Supports Anthropic-compatible and OpenAI-compatible providers, plus xAI/Grok aliases.
  • Workspace aware: Context-aware tools designed to understand your local codebase.
  • Session persistence: Resumeable sessions via JSON state management.
  • Extensible: Plugin-ready architecture for custom tools and skills.

Getting Started

Prerequisites

  1. Install Rust stable and Cargo.
  2. Set up your preferred API credentials.

Installation

From the repository root:

cd rust
cargo build --release -p claw-cli

# Install locally to your PATH for global access
cargo install --path crates/claw-cli --locked

Usage

Start the interactive shell:

claw

Run a single prompt:

claw prompt "summarize this workspace"

Resume a previous session:

claw --resume session.json /status

Launch the live split-pane dashboard (currently runs a scripted demo session):

claw dashboard   # alias: claw tui

The dashboard renders three panels — Agent Pipeline (left, a live step log), Workspace + System State (right, a file tree that recolors as files are scanned/read/modified, plus a progress gauge), and Live Diff (bottom, a syntax-highlighted diff that types in line-by-line). Press q, Esc, or Ctrl-C to exit. The UI is driven entirely by an AgentEvent stream, so it can be wired to the real agent loop without touching the rendering code.

Run claw --help for the full command list, including agents, skills, and system-prompt flows.

Authentication

Configure your environment variables based on your preferred provider:

Anthropic

export ANTHROPIC_API_KEY="..."
export ANTHROPIC_BASE_URL="https://api.anthropic.com"

OpenAI-compatible

export OPENAI_API_KEY="..."
export OPENAI_BASE_URL="https://api.openai.com/v1"

Grok / xAI

export XAI_API_KEY="..."
export XAI_BASE_URL="https://api.x.ai"

You can also authenticate via the CLI:

claw login

Frequently Asked Questions

What is this project? This is an independent, open-source implementation of a terminal-based coding agent, architecturally inspired by Claude Code.

Why Rust? Rust provides the performance, concurrency, and memory safety required for a tool that interacts deeply with local file systems and high-latency LLM APIs.

Can I use local models? Yes, if your local inference server exposes an OpenAI-compatible API and you point the relevant base URL and API key at it.

Is this the official Anthropic Claude Code? No, this is a community-driven open-source project.

Development

We welcome contributions. Please refer to CLAW.md for workspace-specific workflow guidance.

cd rust
cargo fmt
cargo clippy --workspace --all-targets -- -D warnings
cargo test --workspace

Repository Structure

  • rust/: Core CLI and runtime implementation.
  • src/: Python support code and utilities.
  • tests/: Verification suites for agentic behaviors.
  • CLAW.md: Internal workflow documentation.

Notes

  • This project is an open-source implementation.
  • It is not affiliated with or endorsed by Anthropic.

Frequently Asked Questions

What is claudecode?

claudecode is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by soongenwong. Open Source ClaudeCode Leaked. Same functionalities as Claude Code by Anthropic. Written in Rust, Ready to use immediately for free. It has 1,194 GitHub stars.

Is claudecode safe to use?

Yes. claudecode passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install claudecode?

Clone the repository with "git clone https://github.com/soongenwong/claudecode" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is claudecode written in?

claudecode is primarily written in Rust. It is open-source under soongenwong on GitHub, so you can review or fork the full source.

Are there alternatives to claudecode?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claudecode against similar tools.

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