
claudecode
Open Source ClaudeCode Leaked. Same functionalities as Claude Code by Anthropic. Written in Rust, Ready to use immediately for free.
Install with your AI
Paste into Claude Code, Cursor, or any agent — it reads the repo and wires the tool into your project.
Install and set up claudecode (git-clone project) into my current project. Found on https://claudeers.com/claudecode Repo: https://github.com/soongenwong/claudecode Homepage/docs: https://github.com/soongenwong/claudecode Detected install method: git-clone → git clone https://github.com/soongenwong/claudecode Category: automation. Platforms: cli, api. Read the repo's README for exact setup and env vars, then install it and wire it into my project. Claudeers Health Verdict: slowing; community-verified: false. Confirm the source before running anything.
git clone https://github.com/soongenwong/claudecode
// compatibility
| Platforms | cli, api |
|---|---|
| Operating systems | — |
| AI compatibility | claude |
| License | — |
| Pricing | open-source |
| Language | Rust |
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.
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
ratatuiinterface 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
- Install Rust stable and Cargo.
- 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.
// faq
What is claudecode?
Open Source ClaudeCode Leaked. Same functionalities as Claude Code by Anthropic. Written in Rust, Ready to use immediately for free. . It is open-source on GitHub.
Is claudecode free to use?
claudecode is open-source, so it is free to use.
What category does claudecode belong to?
claudecode is listed under devtools in the Claudeers registry of Claude-compatible tools.
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[](https://claudeers.com/claudecode)
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[](https://claudeers.com/claudecode)
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