DenisovAV/flutter_edge_ai
On-device AI for Flutter — Gemma and other LLMs, multimodal, function calling, embeddings, RAG and speech on Android, iOS, Web, macOS, Windows and Linux.
- Stars
- 642
- Forks
- 176
- Open issues
- 13
- Last push
- today
About flutter_edge_ai
flutter_edge_ai is a free, open-source RAG and AI search tool by DenisovAV, written mainly in Dart. On-device AI for Flutter — Gemma and other LLMs, multimodal, function calling, embeddings, RAG and speech on Android, iOS, Web, macOS, Windows and Linux. It has 642 GitHub stars and 176 forks, and was last updated today. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Language
- Dart
- Stars
- 642
- Last update
- today
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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flutter_edge_ai FAQ
Is flutter_edge_ai free?
Yes. flutter_edge_ai is open source and free to use. It's released under the MIT license, a standard open-source license.
Does flutter_edge_ai run on a Mac?
Yes. According to the project, flutter_edge_ai works on macOS.
Does flutter_edge_ai need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is flutter_edge_ai still maintained?
Yes. It was last updated today and has 13 open issues on GitHub.
What are alternatives to flutter_edge_ai?
Similar free, open-source tools include ragflow, onyx, needle, Vane.