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Claw Code

A Rust command-line AI coding agent, presented as an agent-maintained museum exhibit rather than a production

GitHub Download v0.1.10
Stars
195k
Forks
108k
Licence
MIT
Language
Rust
Last update
4 days ago
Type
CLI

What it is

Claw Code is a Rust implementation of a command-line agent harness called `claw`, which sends prompts to AI models and runs interactive sessions from the terminal. The README says the repository is closer to a museum exhibit than a product, and that it is developed and maintained by agents rather than hand-operated. The README points users who want to run real work toward LazyCodex or Gajae-Code instead.

  • Build the claw CLI from the rust/ workspace with cargo build --workspace
  • Run a one-off prompt with claw prompt "say hello"
  • Start an interactive claw session from the terminal
  • Check the setup with claw doctor after building

Great for

  • Developers curious how a Rust-based agent CLI is structured
  • People who want to build the `claw` binary from source and try it with an Anthropic API key
  • Readers studying an agent-managed repository and its project philosophy
  • Rust developers who want to explore the workspace in the rust/ directory

Not ideal for

  • Anyone who needs a dependable production tool, since the README says it is not the serious production project
  • Users who do not want to install Rust and build from source, since the README describes build-from-source as the only route for this repo
  • Users who need the Anthropic-only setup shown in the quick start without an API key, since the README requires an Anthropic API key and states it is not a Claude subscription
Step-by-step guide: how to use Claw CodeInstall, first run, examples, tips and FAQs

How to get it

  1. 1

    Clone and build from source

    You'll need: Rust toolchain (via rustup.rs) · Git · An Anthropic API key

    Clone the repository

    git clone https://github.com/ultraworkers/claw-code

    Enter the Rust workspace

    cd claw-code/rust

    Build the workspace

    cargo build --workspace

    Set your API key

    export ANTHROPIC_API_KEY="sk-ant-..."
  2. 2

    Run it

    • Clone the repository and build the workspace with cargo build --workspace
    • Set ANTHROPIC_API_KEY in your shell
    • Run ./target/debug/claw doctor as a health check
    • Run ./target/debug/claw prompt "say hello" to get a first response
  3. 3

    Get the most out of it

    • Read USAGE.md for build, auth, CLI, and session workflows
    • Read docs/local-openai-compatible-providers.md for local OpenAI-compatible models and offline skill installs
    • Use claw doctor as the first health check after building
    • Read docs/container.md for the container-first workflow

Downloads

Source code (.zip)main branch · straight from GitHubRelease v0.1.106 files incl. claw-linux-x64

Strengths

  • Build-from-source steps and a first-run sequence are laid out in the README
  • MIT license, as listed in the repository metadata
  • Points to separate docs for usage, parity status, roadmap, and Windows setup

Trade-offs

  • The README explicitly says it is not meant for serious production work and is maintained by agents with no human intervention
  • The README warns that the crates.io package named claw-code is a deprecated stub and should not be installed with cargo
  • ACP and Zed integration are not shipped yet, according to the README

Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.