Codetato
Run open-source AI models locally and 100% privately in your browser. Accelerated by WebGPU — no servers, no API keys, and no subscriptions.
Bandwidth Warning: Large File Downloads
Running models inside the browser requires downloading the model weights. The first time you load a model, your browser will download files ranging from 150MB to over 2.2GB.
- Downloads will consume significant internet bandwidth. We recommend a flat-rate broadband or Wi-Fi connection.
- Models are pulled directly from Hugging Face and automatically saved to your browser's local Cache Storage so they load instantly on subsequent visits (and work completely offline).
Current System Status
WebGPU Acceleration
Your browser or device does not support WebGPU (or it is disabled). Models will fallback to CPU (WASM), which is significantly slower.
Hardware Specifications
Model Registry & Expected Performance
The registry contains a list of models tested for compatibility. Note that these are provided as recommendations for in-browser use. Based on your detected hardware specifications, here are the expectations for initial model download sizes, compatibility status, and real-world execution speeds.
| Model Name | Params / Quant | Download Size | Compatibility | Est. Speed |
|---|---|---|---|---|
Qwen 2.5 (0.5B) General Chat | 0.5Bq4 | ~350 MB | CPU only WebGPU is unavailable. This model will run on your CPU via WASM, which is slower but usable. | |
Llama 3.2 (1B) General Chat | 1.2Bq4f16 | ~750 MB | Very slow WebGPU is unavailable. This model size will be noticeably slow on CPU-only inference. | |
TinyLlama (1.1B) General Chat | 1.1Bq4 | ~650 MB | Very slow WebGPU is unavailable. This model size will be noticeably slow on CPU-only inference. | |
Qwen 2.5 Coder (0.5B) Code Generation | 0.5Bq4 | ~350 MB | CPU only WebGPU is unavailable. This model will run on your CPU via WASM, which is slower but usable. | |
Phi-3.5 Mini Advanced Reasoning | 3.8Bq4 | ~2200 MB | Too large for CPU WebGPU is unavailable and this model is too large to run practically on CPU. |
Development Roadmap
Follow our journey as we build the ultimate client-side, 100% private, browser-based AI workspace.
Local Models
Run open-source LLMs directly in your browser using WebGPU/WASM for 100% private inference.
System Theme
Automatic synchronization with light/dark OS modes and access to a robust curated theme selector.
Agent Sandbox
A secure client-side sandbox environment to run code, test logic, and execute commands safely.
Improved Tools
Expanded tool integrations including secure local workspace file access and internet search APIs.
Autonomous Agents
Multi-step agent loops executing tasks and self-correcting completely in the client tab.
Offline Inference via Web Workers
Offload inference computation to Web Workers to ensure smooth UI responsiveness even under full load, supporting complete offline usage.
Developed locally with turborepo, Next.js, and Transformers.js.
All computing and model inference happen entirely client-side. Models are pulled directly from Hugging Face. No user queries or data is tracked or uploaded to any server.