Bubble Lab is a Typescript-native workflow automation platform built for developers who need full control, transparency, and type safety. Unlike traditional workflow builders that lock you into proprietary JSON nodes, Bubble Lab compiles everything into clean, production-ready TypeScript that you can own, debug, and deploy anywhere.
Key Features:
- Prompt to Workflow: Describe what you want in natural language, and Pearl (our AI Assistant) instantly generate and amend working typescript workflows using our composable bubble system (integrations, tools) with branching and transformations. You get the visual, speed, and full flexibility of code.
- Full Observability: Built-in execution tracing with detailed logs, token usage and cost usage tracking for each supported services, and performance metrics. Debug with complete visibility into every step.
- Import from n8n/other workflow platform: Migrate existing workflows seamlessly such as n8n. Any human-readable workflow can be converted bubble lab workflow with a good enough model.
- Export as TypeScript/API Instantly: Own your workflows completely. Export clean, production-ready code that runs anywhere—integrate with your codebase, CI/CD pipelines.
No setup required, start building immediately with managed integrations 👉 Try Now
Run Bubble Studio locally in 2 commands:
# 1. Install dependencies
pnpm install
# 2. Start everything
pnpm run devOpen http://localhost:3000 and start building workflows!
Get started with BubbleLab in seconds using our CLI tool:
npx create-bubblelab-appThis will scaffold a new BubbleLab project with:
- Pre-configured TypeScript setup with core packages and run time installed
- Sample templates (basic, reddit-scraper, etc.) you can choose
- All necessary dependencies
- Ready-to-run example workflows you fully control, customize
Next steps after creation:
cd my-agent
npm install
npm run devLet's look at what BubbleFlow code actually looks like using the reddit-scraper template:
The Flow (reddit-news-flow.ts) - Just ~50 lines of clean TypeScript:
export class RedditNewsFlow extends BubbleFlow<'webhook/http'> {
async handle(payload: RedditNewsPayload) {
const subreddit = payload.subreddit || 'worldnews';
const limit = payload.limit || 10;
// Step 1: Scrape Reddit for posts
const scrapeResult = await new RedditScrapeTool({
subreddit: subreddit,
sort: 'hot',
limit: limit,
}).action();
const posts = scrapeResult.data.posts;
// Step 2: AI analyzes and summarizes the posts
const summaryResult = await new AIAgentBubble({
message: `Analyze these top ${posts.length} posts from r/${subreddit}:
${postsText}
Provide: 1) Summary of top news, 2) Key themes, 3) Executive summary`,
model: { model: 'google/gemini-2.5-flash' },
}).action();
return {
subreddit,
postsScraped: posts.length,
summary: summaryResult.data?.response,
status: 'success',
};
}
}What happens when you run it:
$ npm run dev
✅ Reddit scraper executed successfully
{
"subreddit": "worldnews",
"postsScraped": 10,
"summary": "### Top 5 News Items:\n1. China Halts US Soybean Imports...\n2. Zelensky Firm on Ukraine's EU Membership...\n3. Hamas Demands Release of Oct 7 Attackers...\n[full AI-generated summary]",
"timestamp": "2025-10-07T21:35:19.882Z",
"status": "success"
}
Execution Summary:
Total Duration: 13.8s
Bubbles Executed: 3 (RedditScrapeTool → AIAgentBubble → Return)
Token Usage: 1,524 tokens (835 input, 689 output)
Memory Peak: 139.8 MBWhat's happening under the hood:
- RedditScrapeTool scrapes 10 hot posts from r/worldnews
- AIAgentBubble (using Google Gemini) analyzes the posts
- Returns structured JSON with summary, themes, and metadata
- Detailed execution stats show performance and token usage
Key Features:
- Type-safe - Full TypeScript support with proper interfaces
- Simple - Just chain "Bubbles" (tools/nodes) together with
.action() - Observable - Built-in logging shows exactly what's executing
- Production-ready - Error handling, metrics, and performance tracking included
Learn how to use each bubble node and build powerful workflows:
👉 Visit BubbleLab Documentation
The documentation includes:
- Detailed guides for each node type
- Workflow building tutorials
- API references
- Best practices and examples
⚠️ UPDATE (January 20, 2026): We are no longer accepting code contributions or pull requests at this time. However, we still welcome and encourage:
- 🐛 Bug reports - Help us identify issues
- 💬 Feature requests - Share your ideas for improvements
- 🗨️ Community discussions - Join conversations in Discord
- 📖 Documentation feedback - Suggest improvements to our docs
Thank you to everyone who has contributed and shown interest in Bubble Lab!
Get involved:
- Join our Discord community for discussions and support
- Open issues for bugs or feature requests
- Check out CONTRIBUTING.md for project setup and architecture details
Apache 2.0