vercel-labs/tersa

Health v2 · maintenance only

Adoption not part of the score

1042 stars · 174 forks observed · 2026-10-02

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Tersa is an open-source visual AI playground built as a Next.js web application where users drag, drop, and connect nodes on a canvas to build AI workflows. It supports text, image, and video models from 25+ providers via the Vercel AI SDK Gateway, with streaming responses and cost indicators.

Use cases

• build ai workflows visually without writing code
• compare outputs from different llm providers side by side
• prototype multi-step ai pipelines on a node canvas
• test image and video generation models in one place
• estimate relative costs of different ai models
• chain prompts and models together with drag-and-drop nodes

When to choose

• you want a visual, node-based canvas for experimenting with AI models
• you need access to many model providers through a single gateway
• you want a self-hostable alternative to closed AI workflow tools
• you prefer streaming responses and reasoning visibility while prototyping

When to avoid

• you need production-grade workflow orchestration with scheduling and retries
• you want a headless API or CLI rather than a browser-based canvas
• you need offline operation without provider API keys
• your workflows require non-AI data transformation steps

Facets

application · maturity active

agent-framework llm-inference chat-interface workflow-automation ui-components state-management artificial-intelligence large-language-models web-development frontend developer-tools self-hosted cross-platform visual-workflow-builder ai-canvas node-based-editor vercel-ai-sdk multi-model drag-and-drop nextjs reactflow ai-agents web-server nodejs

Member repositories

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