JarvisX-Cowork

by LYL1015Verified

JarvisX-Cowork: Your First Personal AI Creative Assistant for Everyone!

167
Stars
8
Forks
Python
Language
8/23/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/LYL1015/JarvisX-Cowork

Getting Started

Guides for using skills like JarvisX-Cowork.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

JarvisX-Cowork Logo

JarvisX-Cowork

Open Claude Cowork: A Personal AI Creative Assistant for Everyone

Turn a terminal-only AI into a visual, collaborative, and creative desktop companion.

Version License Platform Electron React

English | 中文


🎬 Demo Video

Watch the Demo

👆 Click the image above to watch the demo video

💡 Our JarvisX series work that may interest you ✨.

JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization
Yunlong Lin, Lingqing Wang, Zixu Lin and Kunjie Lin, etc.
github github arXiv Project Page

[NeurIPS' 2025] JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent
Yunlong Lin, Zixu Lin and Kunjie Lin, etc.
github github arXiv Project Page Hugging Face Space


💡 What We're Building (And Why It's Different)

Many "cowork / office agents" focus on writing emails, filling spreadsheets, and running workflows.
JarvisX-Cowork goes further: building a "Personal AI Creative Assistant" for everyone — when you're out of ideas, it can search the web for references; when you need output, it can take you from copy to visuals all the way through.

Think of it as a creative workflow:

Blank canvas → WebSearch for references → generate images → refine (Lightroom integration) → create videos → build stunning demos / decks / docs

At the same time, it keeps the core strengths of "Open Claude Cowork":

  • Anthropic API compatible: reuses ~/.claude/settings.json (no reinventing the wheel)
  • Desktop visualization: streaming output, message cards, session management
  • Controllable & auditable: key tool operations require your confirmation (permission panel)

✨ What You Can Do With It

  • Creative & content: write copy, proposals, scripts, generate posters/illustrations, create presentation/PPT structures, produce project documentation
  • Visual creation: text-to-image, image-to-image editing, a refinement workflow from "decent" to "polished" (with professional editing tool integration)
  • Video capabilities: generate short videos from text/images for product showcases, event teasers, social media content
  • Real-time information: search web/news/images and provide citable summaries with sources
  • Dev collaboration: write code, edit code, run commands, organize files (the workflow you know)

The goal isn't just an assistant that "does your office work", but one that "helps you bring ideas to life". From inspiration to output, the fewer tools you switch between, the better.


✅ Creative Tools Checklist

FeatureMain Capabilities📖 Docs
JarvisArtSmart retouching, AI color grading, Lightroom integration🚀 Model Deployment · 💻 Client Usage
WebSearchWeb/news/image search (Tavily API)📖 Guide
NanobananaText-to-Image generation📖 Guide
Nanobanana-EditImage-to-image editing, mask editing📖 Guide
Sora2Text-to-Video / Image-to-Video📖 Guide

The table above focuses on "creative capabilities". Beyond this, the project also inherits common baseline capabilities from the Claude Code/Claude Agent ecosystem (files/commands/web/tasks, etc.).

Claude Code (Baseline Capabilities) Overview

CategoryWhat It Does (Examples)
File operationsRead/write/edit files, batch search and locate issues (e.g., Read/Write/Edit/Glob/Grep)
Command executionRun builds, install dependencies, script execution, automation pipelines (e.g., Bash)
Web capabilitiesFetch web content for reference retrieval and context (e.g., WebFetch)
Task planningBreak down complex goals into steps, continuously push forward and report progress (e.g., Task/Todo)
Safety confirmationConfirm and authorize potentially destructive operations (Human-in-the-loop)

🚀 Quick Start

Option 1: Download Release

👉 Go to Releases

Option 2: Build from Source

Prerequisites

  • Bun or Node.js 22+
  • Python 3.11+ (required when using creative skills)
# Clone the repository
git clone https://github.com/DevAgentForge/JarvisX-Cowork.git
cd JarvisX-Cowork

# Install dependencies
bun install

# Development mode
bun run dev

# Build production version
bun run dist:mac-arm64    # macOS Apple Silicon
bun run dist:mac-x64      # macOS Intel


# Start the app
open "dist/mac-arm64/JarvisX-Cowork.app"
open "dist/mac/JarvisX-Cowork.app"

Troubleshooting Bun Install/Build Issues

If you encounter issues with bun install or bun run dist:* (such as hanging, timeout, or build failures), please refer to the detailed troubleshooting guide:

👉 Bun Install/Build Troubleshooting Guide


⚙️ Configuration

In-App Configuration

  • Option 1: One-click JSON Import: Open App → Settings → Import Config, select configs/jarvisx-config.example.json, then replace the placeholder Keys/URLs with your own.
  • Option 2: Manual Input: Fill in API Key / Base URL / Model directly on the same settings page, and enable skills and fill in corresponding keys as needed.

API config import guidance

📋 Example Configuration Structure (Excerpt)
{
  "$schema": "jarvisx-config-v1",
  "version": "1.0",
  "api": {
    "baseURL": "https://api.anthropic.com",
    "apiKey": "sk-your-anthropic-api-key-here",
    "model": "claude-sonnet-4-5-20250929",
    "apiType": "anthropic"
  },
  "skills": {
    "websearch": { "enabled": true, "apiKey": "tvly-your-tavily-api-key-here" },
    "nanobanana": { "enabled": true, "apiKey": "sk-your-nanobanana-api-key-here" }
  }
}

Test API Mirrors (Optional)

To make the experimental environment easier to reproduce, you can use third-party API mirror sites during testing (unofficial, not required).
We make no advertisement or endorsement; please evaluate stability, compliance, and data security risks on your own.

Tip: For production use, prefer official or self-hosted services you trust, keep your keys secure, and avoid committing keys to the repository.


🛠️ Development Guide

# Start development server (hot reload)
bun run dev

# TypeScript compilation
bun run build

# Linting
bun run lint

More details (architecture/modules/skill extensions): docs/summary/PROJECT_ANALYSIS.md


🤝 Contributing

The project is continuously being improved. PRs from interested contributors are welcome!


🙏 Acknowledgements

JarvisX-Cowork is a secondary development based on the open-source project Claude-Cowork. Thanks to the original authors and community.
Project origin and inspiration: DevAgentForge/Claude-Cowork.

We also thank Anthropic for their excellent Claude Cowork product: Cowork: Claude Code for the rest of your work.


🌤️ Discussion Group

If you have any questions during the trial, running or deployment, feel free to join our WeChat group discussion!

WeChat Group 1

WeChat Group 1

WeChat Group 2

WeChat Group 2

Scan QR code to join WeChat group discussion

📄 License

MIT License - See LICENSE


If this project helps you, please give it a ⭐ Star!

Report Issues · Feature Requests

Frequently Asked Questions

What is JarvisX-Cowork?

JarvisX-Cowork is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by LYL1015. JarvisX-Cowork: Your First Personal AI Creative Assistant for Everyone!. It has 167 GitHub stars.

Is JarvisX-Cowork safe to use?

Yes. JarvisX-Cowork passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install JarvisX-Cowork?

Clone the repository with "git clone https://github.com/LYL1015/JarvisX-Cowork" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is JarvisX-Cowork written in?

JarvisX-Cowork is primarily written in Python. It is open-source under LYL1015 on GitHub, so you can review or fork the full source.

Are there alternatives to JarvisX-Cowork?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh JarvisX-Cowork against similar tools.

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