claw-code vs orca
Two of the top coding agents and assistants, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
claw-code
Rust CLI coding agent harness, built from source
orca
Desktop app that runs CLI coding agents in parallel git worktrees
Verdict
claw-code ranks higher, 77 to 76. Of the 5 score parts we measure for both, claw-code leads on 1, orca on 1 and 3 are even.
- Adoptionclaw-code leads by 15 points, 96 to 81: a wide gap.
- FreshnessEven at 100.
- Maintenanceorca leads by 6 points, 81 to 75.
- Easy to runEven at 50.
- Agent-readyEven at 70.
Pick claw-code if you are
Rust-comfortable developers inspecting or building a CLI coding agent harness
- Rust workspace builds to a single `claw` binary with a `doctor` check
- Supports local OpenAI-compatible backends: Ollama, llama.cpp, vLLM
Pick orca if you are
Developers running several CLI coding agents in parallel on one repo
- Works with any agent that runs in a terminal, including Claude Code, Codex, OpenCode, Pi
- Each agent gets its own git worktree; fan one prompt across several and compare
| What we compare | claw-code | orca |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 96, widely used | 81, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 75, fair | 81, healthy |
| Easy to run | 50, easy | 50, easy |
| Agent-ready | 70, partly | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 195k | 90.7k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | Rust | TypeScript |
| Docker | Yes | No |
| GPU | Not stated | Not needed |
| arm64 or Apple Silicon | Mentioned | Mentioned |
claw-code
Claw Code is a Rust implementation of the `claw` CLI agent harness, with the workspace in `rust/` and commands such as `claw prompt`, an interactive session, and `claw doctor` as a health check. It authenticates with API keys (Anthropic, OpenAI, others), and the docs cover local OpenAI-compatible providers such as Ollama, llama.cpp and vLLM. The README describes the repo as an agent-managed exhibit and points users who want to run work to LazyCodex or Gajae-Code.
Who it is for: Rust-comfortable developers inspecting or building a CLI coding agent harness
Strengths
- Rust workspace builds to a single `claw` binary with a `doctor` check
- Supports local OpenAI-compatible backends: Ollama, llama.cpp, vLLM
- MIT license; PowerShell-first Windows install docs alongside Linux and macOS
- Mock parity harness and workspace test suite via `cargo test --workspace`
Weaknesses
- Build from source only; `cargo install claw-code` installs a deprecated stub
- README says it is not the serious production project
- Claude subscription login unsupported; API key required
- No ACP/Zed daemon yet; `claw acp serve` only returns status
- Docker + Compose
- Needs Rust toolchain (cargo), API key (Anthropic, OpenAI or compatible provider)
- Models: Anthropic API, OpenAI API, OpenAI-compatible local servers (Ollama, llama.cpp, vLLM)
orca
Orca is a cross-platform desktop app (macOS, Windows, Linux) that runs several CLI coding agents side by side, each in its own isolated git worktree. It bundles terminals with splits, an editor, an embedded Chromium browser, GitHub and Linear task views, and diff annotation. A mobile companion app and an `orca` CLI let you monitor and script agent workflows.
Who it is for: Developers running several CLI coding agents in parallel on one repo
Strengths
- Works with any agent that runs in a terminal, including Claude Code, Codex, OpenCode, Pi
- Each agent gets its own git worktree; fan one prompt across several and compare
- Agents can run on a remote machine over SSH with port forwarding
- MIT license; desktop builds for macOS, Windows, Linux plus Homebrew and AUR packages
Weaknesses
- No Docker or self-hosted server install; it is a desktop app
- Mobile pairing relay lives in a separate pnpm workspace under cloud/
- Collects anonymous usage telemetry; opt-out is documented but not the default
- Ships daily and the README says its feature list lags behind
- no GPU
- Needs git, CLI coding agent of your choice
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