Tersa

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tersa is an open-source canvas for building AI workflows visually. Users can drag, drop, and connect nodes to create AI workflows, powered by the Vercel AI SDK Gateway.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is tersa?

tersa is an open-source visual canvas designed for building and managing AI workflows. It allows users to intuitively drag, drop, and connect various nodes to construct complex AI processes without extensive coding. The platform is powered by the Vercel AI SDK Gateway, which facilitates multi-model access from over 25 different AI providers. This broad compatibility enables users to integrate and experiment with a wide range of AI capabilities, making it a versatile tool for developers and data scientists looking to prototype, test, and deploy AI-driven applications. Its visual interface simplifies the development process, allowing for faster iteration and easier collaboration on AI projects.

Best used for

Ideal for developers and data scientists who need to visually design, build, and deploy AI workflows, integrating various AI models from multiple providers. Especially valuable for prototyping and experimenting with AI-driven solutions in a flexible, open-source environment.

Common actions

build AI workflows

integrate AI models

automate AI tasks

prototype AI applications

open-sourcecollaborationworkflowsautomated workflowdeepfakelow-code/no-codeface swapping"AI Agents"github copilot

Capabilities

Key features

Visual workflow builder
Drag-and-drop interface
Multi-model access
Vercel AI SDK Gateway
Open-source

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the typical costs associated with using tersa, given it's open-source?

While tersa itself is open-source and free to use, you will incur costs from the AI providers you integrate via the Vercel AI SDK Gateway. These costs depend on your usage of their APIs and models. Hosting your tersa instance might also have associated infrastructure costs.

Does tersa support integrating with custom or fine-tuned AI models not listed by the 25+ providers?

teresa primarily leverages the Vercel AI SDK Gateway for multi-model access, which covers a wide range of popular providers. Integrating custom or privately hosted models might require developing custom nodes or extensions, as it's not a direct out-of-the-box feature.

What are the deployment options for workflows built with tersa?

teresa provides the visual canvas for building workflows. The deployment of the resulting AI applications or services built using these workflows would typically be handled independently, often leveraging platforms like Vercel for serverless functions or other cloud providers, depending on your architecture.

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Also listed in

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AI Agents & Automation › AI Frameworks & Infra Coding & Development › No-Code / Low-Code AI Agents & Automation › Workflow Agents

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