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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
★508STARS
⑂38FORKS
!8ISSUES
🏆#12,259GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

FluidUse is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), FluidInference/FluidUse has accumulated 508 GitHub stars and 38 forks. It is written in Swift, licensed under Apache-2.0, and ranks #12,259 globally. It is actively maintained with the latest commit recorded on Oct 13, 2026.”
Repository FluidInference/FluidUse ↗
Primary Category accessibility api
Language & Stack Swift
Software License Apache-2.0
Community Traction ★ 508 stars · ⑂ 38 forks · #12,259 globally
Maintenance ● Active (Last commit: Oct 13, 2026) · 8 open issues
Target Audience Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is FluidUse actively maintained in 2026?
Verdict: Actively Maintained

Yes, FluidUse is actively maintained. Continuous telemetry recorded the last code commit on Oct 13, 2026 (31 days ago). Supported by 508 stars and 38 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (31 days ago) and healthy issue cadence.

Commit Recency
Oct 13, 2026
31 days since last push
Issue Backlog
8 Open Issues
Healthy Issue Cadence
Community Backing
38 Forks
508 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for FluidInference/FluidUse
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Momentum

+0

STARS · LAST 30 DAYS

1

PER DAY

#488

MOST-STARRED Swift

Window7 days30 days90 days
Stars gained+0+0+90
Per day111
Forks gained+0+0+10

FluidUse gained 0 stars in the last 30 days, about 1 a day, and now has 508. It is about 1 year old and has averaged roughly 508 stars a year. It ranks #488 among Swift repositories and #12,259 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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swiftlang/swift ★ 70.6K Swift

The Swift Programming Language

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C
apple/container ★ 51K Swift

A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.

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I
iina/iina ★ 47K Swift

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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 #12,259 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,246 TheLunarCompany/lunar TypeScript ★ 509 Compare ↗
#12,246 ollama4j/ollama4j Java ★ 509 Compare ↗
#12,246 NoKV-Lab/NoKV Rust ★ 509 Compare ↗
#12,246 vavallee/bindery Go ★ 509 Compare ↗
#12,246 Nanako0129/syrtis Swift ★ 509 Compare ↗
#12,259 FluidInference/FluidUse This Project Swift ★ 508
#12,259 galtzo-floss/flag_shih_tzu Ruby ★ 508 Compare ↗
#12,259 edspencer/jaml JavaScript ★ 508 Compare ↗
#12,259 quirkey/resque-status Ruby ★ 508 Compare ↗
#12,259 cloudburst/libheap Python ★ 508 Compare ↗
#12,259 madlib/archived_madlib C ★ 508 Compare ↗
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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

Is FluidUse actively maintained in 2026? +

Yes, FluidUse is actively maintained. The latest code push was recorded on Oct 13, 2026 (31 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 508 stars and 8 open issues.

What language is FluidUse written in? +

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

How many stars does FluidUse have? +

FluidUse has 508 stars and 38 forks on GitHub.

How does FluidUse rank among GitHub repositories? +

With 508 stars, FluidInference/FluidUse is ranked #12,259 globally across all repositories tracked on GitHubRepo and #488 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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