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microsoft/SwiftStreamingMarkdown

A performant markdown library for iOS & macOS that supports streaming

Swift ◇ ai MIT
★371STARS
⑂53FORKS
!19ISSUES
🏆#4,169GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for microsoft/SwiftStreamingMarkdown
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#248

MOST-STARRED Swift

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

SwiftStreamingMarkdown gained 10 stars in the last 30 days, about 1 a day, and now has 371. It is about 1 year old and has averaged roughly 371 stars a year. It ranks #248 among Swift repositories and #4,169 across all languages on GitHubRepo.

Trending Record

SwiftStreamingMarkdown has maintained a continuous presence across global trending indexes, peaking at #2995. Below is the 30-day activity profile:

💡 Overview

SwiftStreamingMarkdown is an open-source project written in Swift: A performant markdown library for iOS & macOS that supports streaming.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agent, ios. 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/microsoft/SwiftStreamingMarkdown.git
cd SwiftStreamingMarkdown

⚙ 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

SwiftStreamingMarkdown 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 SwiftStreamingMarkdown.

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 SwiftStreamingMarkdown using your package manager: `git clone https://github.com/microsoft/SwiftStreamingMarkdown.git`

2

Initialize your project workspace or configuration file for SwiftStreamingMarkdown.

3

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

4

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

👍 Strengths

Active community backing with 371 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.

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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

microsoft/SwiftStreamingMarkdown is currently ranked #4,169 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,162 kagisearch/bangs Ruby ★ 374 Compare ↗
#4,165 eathena/eathena C ★ 372 Compare ↗
#4,165 Pi4J/pi4j Java ★ 372 Compare ↗
#4,165 klippa-app/go-pdfium Go ★ 372 Compare ↗
#4,165 delexw/claude-code-trace Rust ★ 372 Compare ↗
#4,169 microsoft/SwiftStreamingMarkdown This Project Swift ★ 371
#4,169 SimulPiscator/AirSane C++ ★ 371 Compare ↗
#4,169 crumblingstatue/hexerator Rust ★ 371 Compare ↗
#4,169 get-convex/convex-js TypeScript ★ 371 Compare ↗
#4,173 voxpupuli/beaker Ruby ★ 370 Compare ↗
#4,173 scenarigo/scenarigo Go ★ 370 Compare ↗

Frequently Asked Questions

What does SwiftStreamingMarkdown do? +

A performant markdown library for iOS & macOS that supports streaming

What language is SwiftStreamingMarkdown written in? +

The primary language is Swift. Topics include: ai, ai-agent, ios, llm, macos.

Is SwiftStreamingMarkdown actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 19 open issues being tracked.

How many stars does SwiftStreamingMarkdown have? +

SwiftStreamingMarkdown has 371 stars and 53 forks on GitHub.

How does SwiftStreamingMarkdown rank among GitHub repositories? +

With 371 stars, microsoft/SwiftStreamingMarkdown is ranked #4,169 globally across all repositories tracked on GitHubRepo and #248 among Swift projects.

What license is SwiftStreamingMarkdown distributed under? +

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

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