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.
Not yet testedsource: GitHubhomepageJavaScriptMITcommit 712ff5388169
JavaScript, MIT licensed. The project labels itself: dart, edge ai, embeddings, flutter, function calling, gemma, litert and llm.
flutter_edge_ai has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
dartedge-aiembeddingsflutterfunction-callinggemmalitertllmmediapipeon-device-aionnxragspeech-to-texttext-to-speech
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Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/flutter-edge-ai)Questions
- Does flutter_edge_ai run?
- flutter_edge_ai has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test flutter_edge_ai?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for flutter_edge_ai?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.