claw-code vs t3code
Two of the top projects in Coding agents and AI editors, 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 using Anthropic and OpenAI-compatible APIs
t3code
Desktop, web and mobile front end for controlling local coding agent CLIs
Verdict
claw-code ranks higher, 97 to 93. Of the 4 score parts we measure for both, claw-code leads on 2, t3code on 1 and 1 is even.
- Adoptionclaw-code leads by 9 points, 99 to 90.
- FreshnessEven at 100.
- Maintenanceclaw-code leads by 7 points, 99 to 92.
- Agent-readyt3code leads by 15 points, 85 to 70: a wide gap.
Pick claw-code if you are
Developers who want to inspect or build a Rust CLI coding agent
- `claw doctor` checks API key, model access and tool configuration after build
- Docs cover local OpenAI-compatible providers: Ollama, llama.cpp, vLLM
Pick t3code if you are
Developers who run several coding agent CLIs and want one local or remote UI
- Drives six agent providers from one interface using your existing subscriptions
- Clients for desktop (Electron), web, iOS and Android, with remote access to your machine
| What we compare | claw-code | t3code |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 99, widely used | 90, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 99, healthy | 92, healthy |
| Agent-ready | 70, partly | 85, ready |
| Facts from GitHub and the README | ||
| Stars | 195k | 36.8k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Nov 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | Rust | TypeScript |
| Docker | Yes | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Mentioned | Mentioned |
claw-code
Claw Code is a Rust implementation of the `claw` command-line coding agent, built from source with cargo. It runs one-shot prompts or interactive sessions using an API key, and the docs cover local OpenAI-compatible servers such as Ollama, llama.cpp and vLLM. The README describes the repo as an agent-managed exhibit, not the production project, and points to LazyCodex and Gajae-Code for real work.
Who it is for: Developers who want to inspect or build a Rust CLI coding agent
Strengths
- `claw doctor` checks API key, model access and tool configuration after build
- Docs cover local OpenAI-compatible providers: Ollama, llama.cpp, vLLM
- Build steps documented for macOS, Linux and Windows PowerShell
- MIT license; workspace test suite and deterministic mock-service parity harness
Weaknesses
- README says it is not the serious production project and points elsewhere
- Build-from-source only; `cargo install claw-code` installs a deprecated stub
- Requires an API key; Claude subscription login is not supported
- No ACP/Zed daemon yet; `claw acp serve` only returns status
- no GPU
- Docker + Compose
- Needs Rust toolchain (cargo), LLM API key
- Models: Anthropic API, OpenAI-compatible APIs, Ollama, llama.cpp, vLLM
t3code
T3 Code is a control surface for coding agents already installed and authenticated on your machine: Claude Code, Codex, Cursor, Grok Build, OpenCode and Google Antigravity. It runs a local server started with the `t3` command and is reached through a web app, an Electron desktop app, or iOS and Android apps for remote use. The README says the project is early and bugs are expected.
Who it is for: Developers who run several coding agent CLIs and want one local or remote UI
Strengths
- Drives six agent providers from one interface using your existing subscriptions
- Clients for desktop (Electron), web, iOS and Android, with remote access to your machine
- Installs via shell script, npx, winget, scoop, Homebrew, .deb or AUR
- MIT licensed; can run as a background service with `t3 service install`
Weaknesses
- README says it is very early and to expect bugs
- Mostly not accepting contributions; large features will not be merged
- Needs at least one provider CLI installed and logged in beforehand
- No docs site yet; docs are Markdown files in the repo
- no GPU
- Needs At least one of: Codex CLI, Claude Code, Cursor CLI, Grok Build CLI, OpenCode, Antigravity
- Models: Claude Code, Codex, Cursor, Grok Build, OpenCode
More in Coding agents and AI editors
Building with these?
We help teams pick an open-source AI stack and run it in production. Client work never changes a rank.