Clawith is an open-source AI coding agent framework and workspace harness developed by DataElement. It is designed to orchestrate agent-driven code development, background tool execution, and workspace lifecycle management. Under the hood, Clawith couples a Python backend runtime with an interactive frontend interface. It manages asynchronous task scheduling, runtime tool contracts, and agent-led workspace revisions with live preview capabilities. Day-to-day workflows allow developers to interact through a chat-driven workspace to generate code, run local test and quality checks, and monitor asynchronous operations. Clawith differentiates itself through durable runtime scheduling and provider settlement handling. Rather than treating intermediate trigger states as terminal outcomes, its execution engine tracks long-running async provider operations—such as multi-stage Vercel deployments—until definitive settlement is confirmed, preventing broken continuations in automated pipelines. Clawith is open-source and publicly hosted on GitHub with an active release cadence and automated continuous integration workflows.
Durable Runtime Scheduler — Manages asynchronous execution, tool contracts, and durable operation polling across multi-step agent actions. - Workspace Preview & Revisions — Built-in workspace controls allowing developers to inspect diffs and preview changes interactively. - Deployment Provider Settlement — Resilient orchestration for external deployment providers (e.g., Vercel) with reliable state settlement polling. - Reproducible Quality Tooling — Integrated quality checks and test runners to enforce backend and frontend regression contracts. - CI & Team Notifications — Hooks for automated continuous integration pipelines and team notification channels.
Use cases
Use Case: Interactive Agent-Driven Prototyping Developers use Clawith's workspace interface to prompt the agent for code revisions, inspect generated file changes, and review live previews before accepting changes.
Use Case: Resilient Asynchronous Deployments Teams rely on Clawith's runtime scheduler to trigger and monitor multi-stage asynchronous cloud builds and deployments without dropping execution context during long-running tasks.
Use Case: Self-Hosted Agentic Harness Engineering teams self-host Clawith within internal environments to integrate agent tool execution and automated verification into private CI/CD pipelines.
Who it is for
Clawith is suited for developers and engineering teams seeking an open-source, full-stack agent harness with workspace preview and robust async execution capabilities. It is less suited for developers seeking a lightweight, single-binary terminal CLI agent that operates without a dedicated backend runtime.
Install guide
Installation Clawith consists of a Python backend and frontend client. Clone the repository and install the standard dependencies: bash git clone https://github.com/dataelement/Clawith.git cd Clawith # Backend setup cd backend pip install -r requirements.txt # Frontend setup cd .. npm install
First Run Configure your required LLM API keys in your environment, then start the backend service and frontend development server: bash # Start backend service cd backend python -m uvicorn main:app --reload # Start frontend client (in separate terminal) npm run dev
Example Session Open the frontend interface at http://localhost:5173 to launch a new workspace session: text User: Refactor the deployment router to handle asynchronous provider settlements. Clawith: Analyzing repository structure... Updating backend/runtime/settlement.py and running test suite.
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