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ClawX: Simplify AI Orchestration

Streamline AI management with a graphical interface. For founders using OpenClaw AI agents, backed by 7.5k+ GitHub stars
7,597 stars1,143 forksTypeScriptHealth Score 9/10Updated 8/20/2026100% 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.

Install / run
Clone the repository from https://github.com/ValueCell-ai/ClawX and follow the setup instructions in the README
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
Quick start
  1. 1Clone the repository: `git clone https://github.com/ValueCell-ai/ClawX.git`
  2. 2Navigate to the project directory: `cd ClawX`
  3. 3Start the application: `npm start` or `yarn start`
  4. 4Connect to your OpenClaw AI agent using the graphical interface
  5. 5Configure your AI agent settings and start managing your AI workflow
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

Topics

agent
agentic-ai
agents
ai
clawdbot
moltbot
openclaw
skill
How ClawX: Simplify AI Orchestration works
Codeflow
Free to inspect

ClawX: Simplify AI Orchestration is a very large TypeScript project (~82k lines across 380 code files, plus 243 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
~82k lines · 380 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 4%
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 logic187 files
docs/Documentation16 files
electron/Folder152 files
harness/Folder147 files
shared/Folder60 files
resources/Folder53 files
scripts/Helper scripts39 files
patches/Patches1 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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