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FluidInference
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FluidInference/FluidUse

Local computer use on Apple silicon: on-device typed decisions with laya and form filling with CUA-S1-FORMS, driven through the macOS Accessibility API

Swift ◇ accessibility-api Apache-2.0
★184STARS
⑂13FORKS
!4ISSUES
🏆#5,314GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for FluidInference/FluidUse
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#298

MOST-STARRED Swift

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

FluidUse gained 10 stars in the last 30 days, about 1 a day, and now has 184. It is about 1 year old and has averaged roughly 184 stars a year. It ranks #298 among Swift repositories and #5,314 across all languages on GitHubRepo.

Trending Record

FluidUse has maintained a continuous presence across global trending indexes, peaking at #201. Below is the 30-day activity profile:

💡 Overview

FluidUse is an open-source project written in Swift: Local computer use on Apple silicon: on-device typed decisions with laya and form filling with CUA-S1-FORMS, driven through the macOS Accessibility API.

Engineered for speed, consistency, and developer ease, it solves common hurdles in accessibility-api, apple-silicon, computer-use. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Swift for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/FluidInference/FluidUse.git
cd FluidUse

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Swift 5.9+ / Xcode 15+ (macOS/Linux)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

FluidUse coordinates its core functionality through a modular Swift pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with FluidUse.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install FluidUse using your package manager: `git clone https://github.com/FluidInference/FluidUse.git`

2

Initialize your project workspace or configuration file for FluidUse.

3

Import FluidUse into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `FluidUse --help` to verify successful setup.

👍 Strengths

Active community backing with 157 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Swift for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Swift and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

A
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👥 Who Should Use This

Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

FluidInference/FluidUse is currently ranked #5,314 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,308 pbakaus/transformie CSS ★ 185 Compare ↗
#5,308 teras/Jubler C++ ★ 185 Compare ↗
#5,308 jakubkulhan/chrome-devtools-protocol PHP ★ 185 Compare ↗
#5,308 lab-cosmo/chemiscope TypeScript ★ 185 Compare ↗
#5,308 HuzaifaKhalid1311/DropSauce Kotlin ★ 185 Compare ↗
#5,314 FluidInference/FluidUse This Project Swift ★ 184
#5,314 plessl/wkpdf Ruby ★ 184 Compare ↗
#5,314 j0k3r/php-readability PHP ★ 184 Compare ↗
#5,314 cloudfour/simple-svg-placeholder JavaScript ★ 184 Compare ↗
#5,314 nextcloud/user_oidc PHP ★ 184 Compare ↗
#5,314 felipenmartins/Robotics-Simulation-Labs Python ★ 184 Compare ↗

Frequently Asked Questions

What does FluidUse do? +

Local computer use on Apple silicon: on-device typed decisions with laya and form filling with CUA-S1-FORMS, driven through the macOS Accessibility API

What language is FluidUse written in? +

The primary language is Swift. Topics include: accessibility-api, apple-silicon, computer-use, coreml, decision-model.

Is FluidUse actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 4 open issues being tracked.

How many stars does FluidUse have? +

FluidUse has 184 stars and 13 forks on GitHub.

How does FluidUse rank among GitHub repositories? +

With 184 stars, FluidInference/FluidUse is ranked #5,314 globally across all repositories tracked on GitHubRepo and #298 among Swift projects.

What license is FluidUse distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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