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vercel-labs/tersa has 1,048 GitHub stars and 175 forks. GitHot measured +1 stars in 24 hours. Last checked 2026-11-09 11:34 UTC. Last push 2026-05-01.

How these counts are measured

Tersa is an open source canvas for building AI workflows.

What you can do

  • Visual Workflow Builder: Create AI workflows by connecting nodes in a drag-and-drop canvas
  • Multi-Model Support: Access text, image and video models from 25+ providers through Vercel AI SDK Gateway
  • Cost Indicators: See relative pricing across models at a glance
  • Reasoning Extraction: View model reasoning for supported providers

Measured star growth

in 24h
+1
in 7 days
Update delayed
in 15 days
Update delayed
in 1 month
Update delayed

Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.

README.md

Original

Tersa

Tersa

A visual AI playground. Drag, drop, connect and run nodes to build AI workflows powered by the Vercel AI SDK Gateway.

Features

  • Visual Workflow Builder: Create AI workflows by connecting nodes in a drag-and-drop canvas
  • Multi-Model Support: Access text, image and video models from 25+ providers through Vercel AI SDK Gateway
  • Cost Indicators: See relative pricing across models at a glance
  • Reasoning Extraction: View model reasoning for supported providers
  • Streaming Responses: Real-time text generation with streaming support
  • Local Storage: Canvas state persists in the browser automatically

Technologies

Getting Started

Prerequisites

  • Node.js (v20+)
  • PNPM package manager

Installation

  1. Clone the repository

    git clone https://github.com/vercel-labs/tersa.git
    cd tersa
    
  2. Install dependencies

    pnpm install
    
  3. Create a .env.local file with your AI SDK Gateway credentials and any provider API keys you want to use.

  4. Run the development server

    pnpm dev
    
  5. Open http://localhost:3000 in your browser

Usage

  1. Add nodes to the canvas using the toolbar
  2. Connect nodes by dragging from one node's output to another's input
  3. Select a model from any supported provider
  4. Run your workflow to process data through the AI models

License

This project is licensed under the MIT License - see the LICENSE file for details.


Made with ❤️ and 🤖 by Hayden Bleasel.

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