design

ClawX lets founders manage OpenClaw AI agents with a desktop UI

Turn command‑line AI orchestration into a visual workflow—no terminal needed. Ideal for founders who want quick, intuitive control of OpenClaw agents. 7.6k+ GitHub stars.
7,606 stars1,140 forksTypeScriptGuide quality 8/10 · reviewed Oct 9Updated 10/12/2026100% free · open source
What it does

ClawX provides a graphical interface for managing OpenClaw AI agents, allowing founders to streamline AI management without using the terminal.

When to use it
  • •You're using OpenClaw AI agents and want a user-friendly interface
  • •You need to manage multiple AI agents and want a visualize their performance
  • •You're looking for an alternative to CLI-based AI orchestration
Ready-to-paste prompt
To connect to an OpenClaw AI agent, navigate to the 'Agents' tab and click 'Add Agent', then enter your agent's API endpoint and credentials
Heads up: Make sure you have the necessary dependencies installed, including Node.js and a compatible version of TypeScript, as specified in the ClawX README
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🖥️ Needs desktop apps

Drives software that must already be installed on your computer.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/clawx && curl -fsSL https://workflowstacks.com/api/skills/clawx/claude-skill -o ~/.claude/skills/clawx/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How ClawX lets founders manage OpenClaw AI agents with a desktop UI works
Codeflow
Free to inspect

ClawX lets founders manage OpenClaw AI agents with a desktop UI is a very large TypeScript project (~87k lines across 403 code files, plus 281 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~87k lines · 403 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js
Needs API keys (.env)
TypeScript 95%JavaScript 3%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    src/App.tsx
    Where the program starts running
  4. 4
    package.json
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
src/Core code — the actual logic204 files
docs/Documentation16 files
harness/Folder187 files
electron/Folder161 files
resources/Folder65 files
shared/Folder63 files
scripts/Helper scripts42 files
patches/Patches2 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
ValueCell-ai
Language
TypeScript
Category
design
Published
2/5/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/clawx.svg)](https://workflowstacks.com/skills/clawx?utm_source=github&utm_medium=badge)
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