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gsamat
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gsamat/amanu

Records and transcribes online meetings. Automatically

★169STARS
⑂24FORKS
!17ISSUES
🏆#5,659GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for gsamat/amanu
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#342

MOST-STARRED Swift

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

amanu gained 10 stars in the last 30 days, about 1 a day, and now has 169. It is about 1 year old and has averaged roughly 169 stars a year. It ranks #342 among Swift repositories and #5,659 across all languages on GitHubRepo.

Trending Record

amanu has maintained a continuous presence across global trending indexes, peaking at #5292. Below is the 30-day activity profile:

💡 Overview

amanu is an open-source project written in Swift: Records and transcribes online meetings. Automatically.

Engineered for speed, consistency, and developer ease, it solves common hurdles in automatic-recording, local-first, macos. 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/gsamat/amanu.git
cd amanu

⚙ 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

amanu 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 amanu.

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 amanu using your package manager: `git clone https://github.com/gsamat/amanu.git`

2

Initialize your project workspace or configuration file for amanu.

3

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

4

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

👍 Strengths

Active community backing with 169 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

gsamat/amanu is currently ranked #5,659 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,644 symfony/asset-mapper PHP ★ 170 Compare ↗
#5,644 cloudwalk/stratus Rust ★ 170 Compare ↗
#5,644 data-catering/insta-infra Go ★ 170 Compare ↗
#5,644 dy/jz JavaScript ★ 170 Compare ↗
#5,644 Sultech/simple-taskbar JavaScript ★ 170 Compare ↗
#5,659 gsamat/amanu This Project Swift ★ 169
#5,659 semanticart/is_paranoid Ruby ★ 169 Compare ↗
#5,659 wpbones/WPBones PHP ★ 169 Compare ↗
#5,659 hifiberry/hifiberry-dsp Python ★ 169 Compare ↗
#5,659 Altinn/altinn-studio C# ★ 169 Compare ↗
#5,659 grzegorz914/homebridge-lgwebos-tv JavaScript ★ 169 Compare ↗

Frequently Asked Questions

What does amanu do? +

Records and transcribes online meetings. Automatically

What language is amanu written in? +

The primary language is Swift. Topics include: automatic-recording, local-first, macos, macos-app, meeting-assistant.

Is amanu actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 17 open issues being tracked.

How many stars does amanu have? +

amanu has 169 stars and 24 forks on GitHub.

How does amanu rank among GitHub repositories? +

With 169 stars, gsamat/amanu is ranked #5,659 globally across all repositories tracked on GitHubRepo and #342 among Swift projects.

What license is amanu distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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