APUS-AI-Lab/fast-browser-use
A fast browser-use skill powered by local LLMs via single-token reflexes. Fast, local-first, zero hallucinations.
About the project
A local browser automation engine powered by Qwen3.5 via MLX or PyTorch: it picks actions from visible DOM elements in a single forward pass instead of text generation. Runs fully offline with no cloud APIs.
Useful for
- Run local browser automation without sending data to the cloud
- Attach the engine as a skill to Claude Code or Cursor for page clicks
- Cut agent step latency by scoring action logits instead of generating text
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 8 stars so far today, about 34 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 3 days old and already has 99 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #186.
- About 8 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 99
- Today
- 8 · ≈ 34 by evening
- Forks
- 11
- Issues and pull requests
- 0
- Watchers
- 1
- Language
- Python
- License
- MIT
- Created
- September 19, 2026
- Last push
- September 21, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 22, 2026Top new repositories this week: #186
Share
README badge
Paste it into your README — the badge shows the current magnitude and links to this page.
[](https://gitnova.dev/en/r/APUS-AI-Lab/fast-browser-use)Similar by description
-
3.6
Sac-Y/Jev-cu
Jev-cu connects Computer Use with the Jev model (TypeSafe System One): Jev picks the element, action, completion level and risk from textual UI candidates, while Codex Computer Use reads the interface and executes…
-
8.9
mizorewww/laya-mlx
Native MLX runtime for Laya typed decision models: returns probabilities for choices, scores or truth values without text generation, running locally on Apple Silicon.