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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.

Why this job: topics: rag, embeddings, rag

What it does

On-device AI for Flutter on Android, iOS, Web, macOS, Windows and Linux. Run any model a registered engine runs, or the model the operating system already ships, with text, vision, audio, function calling, embeddings, RAG and speech. No server, no cloud.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit today
Stars
655
+5 this week
Licence
MIT
Allows business use
Downloads for
3 systems
Mac, Windows, Linux
Latest tag
native-v0.19.0-a
Released 5 days ago
Built with
Dart
48% of the code

Is it looked after?

Contributors
8
Last 90 days
Issues
97% closed
9 still open
Pull requests
489 merged
1 waiting
Releases
102
30+ in the last year
  • No contributing guide
  • No security policy
  • No code of conduct
More: download files, languages, topics and project record

Download files, native-v0.19.0-a

  • Mac2 files, 101 downloads
  • Windows1 file, 38 downloads
  • Linux2 files, 173 downloads

All files on GitHub (opens in new tab)

Languages

  • Dart 48%
  • JavaScript 35%
  • C++ 6%
  • CMake 3%

Topics

  • dart
  • edge-ai
  • embeddings
  • flutter
  • function-calling
  • gemma
  • litert
  • llm
  • mediapipe
  • on-device-ai
  • onnx
  • rag

Project record

  • JobRAG and search
  • StatusListed
  • Commits1,502
  • Forks181
  • Watching12
  • Stars in 28 days+18
  • CreatedApr 2, 2024
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

Type to search.

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