Sipp
An open-source runtime delivering fast AI inference directly in web browsers via WebGPU.
Open SourceCoding & Dev
Visit website Free to browse · updated 2026-06-24
What is Sipp?
Sipp focuses on browser-native performance through its WebGPU implementation alongside support for native hardware acceleration options. Developers can run models for interactive applications such as games, agent systems, vision processing, and conversational interfaces entirely on the client side. The library maintains consistent code paths whether operating locally or routing through remote endpoints. This design allows seamless switching or load distribution between on-device execution and gateway services without altering application logic. Beyond the browser, the same interface extends to server environments including Node.js, Rust, and Python integrations. It emphasizes minimal overhead with full openness and type safety for building production-ready inference workflows.
Key features
Blazing-fast WebGPU runtime for browser-based AI inference
Zero install and zero dependencies
Unified client API for local browser and cloud gateway endpoints
Open source with backends for WebGPU, CUDA, Vulkan, and Metal
Supports building games, agents, vision, and chat applications
Symmetric code paths for local and remote model execution
Multi-endpoint control with one simple API
AI models Sipp uses
SmolLM2 135M
Q4_K_M (~105 MB)
Qwen 2.5 0.5B
Q4_K_M (~491 MB)
Qwen 3 0.6B
benchmark model
SmolLM 2 0.36B
benchmark model
What you can use Sipp for
Game Development
Build browser-based games with on-the-fly model inference for dynamic spell generation and interactive experiences using local WebGPU execution.
AI Agents
Create swarms of agents that perform local reasoning and decision-making entirely in the browser without servers or installs.
Vision and Chat Applications
Develop real-time vision feedback tools and conversational chat interfaces powered by browser-native model runs with symmetric local or gateway support.
How to use Sipp
- 1Run npm install @sipphq/sipp
- 2Import and create a new SippClient instance
- 3Register local WebGPU or cloud gateway endpoints
- 4Call chat or inference methods with the chosen endpoint
- 5Build and run browser-based games, agents, or chat apps
Sipp pricing
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Open Source
Free
- npm install @sipphq/sipp
- WebGPU runtime
- Local + gateway
- Zero install
- Full source access
Editor's verdict
Pros
- +Fastest WebGPU runtime, up to 8.4x faster TTFT than alternatives
- +Fully open source and type-safe
- +Easy setup for local-first inference with optional cloud scaling
Cons
- –Requires WebGPU-capable browser for local execution
- –Model weights must be downloaded on first use
- –Best suited for smaller GGUF models in browser environment
Our take: Sipp is a solid coding & dev choice. It's valued for fastest webgpu runtime, up to 8.4x faster ttft than alternatives and fully open source and type-safe. The main trade-off is requires webgpu-capable browser for local execution. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
Sipp uses a native WebGPU backend that runs the same model weights faster than other browser runtimes while requiring zero installs or dependencies.
Summary
Sipp is a solid coding & dev choice. It's valued for fastest webgpu runtime, up to 8.4x faster ttft than alternatives and fully open source and type-safe. The main trade-off is requires webgpu-capable browser for local execution. A good pick if you want capable AI without a high upfront cost.
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