Opera WebAI
Opera browser feature that runs AI models on your computer.
Open the website (opens in a new tab)
- Closed sourceYou cannot read its code.
- Apple SiliconBuilt for Macs with M-series chips.
- Part no.
- T-055Sheet 55 of 269
- GitHub stars
- no repo
- Last activity
- no repo
- Group
- Runtimes & inferenceDrawer 05
- Layer
- Runtime2 of 5 in the stack
- License
- unknown
- Kind
- Website
- Language
- none (not code)
- Install
- Not tested yetCatalog entry
- Gap Score
- not scored yetStatus: pending test on Mac Studio
- Entry checked
- 2026-10-27In our log 2026-10-27: New in the directory
Nothing to install.
It is a website. Open it in your browser.
Where it sits in the stack.
- 5ToolsIts hands and senses.
- 4MemoryWhat it remembers.
- 3HarnessThe app you use.
- 2RuntimeThis partOpera WebAI sits here.
- 1ModelThe brain you download.
In plain words
Opera WebAI: Opera browser feature that runs AI models on your computer.
Its layer · Runtime
The runtime loads the model into memory, runs it, and hands its answers to the apps on your computer.
Its group · Runtimes & inference
Runs open models on your own hardware. 20 tools share this drawer.
Go to the source.
More in Runtimes & inference.
| No. | Part | What it does | License | GitHub stars |
|---|---|---|---|---|
| T-056 | PyTorchPythonApple SiliconThe main toolkit AI apps are built on; runs models on Mac GPUs. | The main toolkit AI apps are built on; runs models on Mac GPUs. | BSD-3-Clause | |
| T-057 | RamaLamaPythonServe models from any source in containers. | Serve models from any source in containers. | MIT | |
| T-058 | SGLangPythonHigh-throughput serving for LLMs and VLMs. | High-throughput serving for LLMs and VLMs. | Apache-2.0 | |
| T-059 | vLLMPythonHigh-throughput LLM serving engine. | High-throughput LLM serving engine. | Apache-2.0 | |
| T-060 | vLLM MetalPythonvLLM plugin for Apple Silicon. | vLLM plugin for Apple Silicon. | Apache-2.0 | |
| T-041 | KoboldCppC++One-file GGUF runner with a built-in UI. | One-file GGUF runner with a built-in UI. | AGPL-3.0 |