TongFlow offers an open-source environment for constructing multi-modal generative AI workflows.

The platform supports a range of input types and operations that allow seamless integration of different AI capabilities. Workflows run locally by default with options to leverage external GPU resources through user-provided tokens, ensuring no mandatory accounts or data sharing. Built under an open license, TongFlow distinguishes itself by treating multiple modalities equally and including built-in combination features rather than relying on extensions. It accommodates various model providers for text tasks and lists specific models for media processing in its documentation. Developers can extend functionality through a plugin system that works across different backends. The same codebase supports desktop applications, self-hosted setups, and optional cloud instances for flexibility in deployment.
Drop text, images, audio, video or 3D models onto the canvas and transform them across modalities such as text-to-image or image-to-video before combining outputs with built-in fusion and lip-sync nodes.
Run entirely on your machine with no account or telemetry required, keeping all files and workflows local while connecting only your own API keys for model access.
Wire any supported model into transform nodes and switch between options like FLUX.2 or Qwen3 without rewiring the canvas to test different AI behaviors.
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Our take: TongFlow - Open-source GenAI studio is a solid design choice. It's valued for fully open-source and self-hostable and privacy-focused with no telemetry. The main trade-off is requires external api keys and modal token. A good pick if you want capable AI without a high upfront cost.
Yes, it is released under AGPL-3.0 with the full source available at github.com/tong-io/tongflow for anyone to read, fork, or self-host.
TongFlow - Open-source GenAI studio is a solid design choice. It's valued for fully open-source and self-hostable and privacy-focused with no telemetry. The main trade-off is requires external api keys and modal token. A good pick if you want capable AI without a high upfront cost.
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