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christopherkarani
Home / Swift / Swarm

christopherkarani/Swarm

Type-safe tools, on-device inference, multi-agent workflows, memory, and guardrails, in one Swift-native runtime

Swift ◇ agent MIT
★582STARS
⑂43FORKS
!0ISSUES
🏆#3,395GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for christopherkarani/Swarm
CSV

Momentum

+15

STARS · LAST 30 DAYS

1

PER DAY

#199

MOST-STARRED Swift

Window7 days30 days90 days
Stars gained+7+15+90
Per day111
Forks gained+1+3+10

Swarm gained 15 stars in the last 30 days, about 1 a day, and now has 582. It is about 1 year old and has averaged roughly 582 stars a year. It ranks #199 among Swift repositories and #3,395 across all languages on GitHubRepo.

Trending Record

Swarm has maintained a continuous presence across global trending indexes, peaking at #1998. Below is the 30-day activity profile:

💡 Overview

Swarm is an open-source project written in Swift: Type-safe tools, on-device inference, multi-agent workflows, memory, and guardrails, in one Swift-native runtime.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agentic-ai, agentic-systems. 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/christopherkarani/Swarm.git
cd Swarm

⚙ 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

Swarm 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 Swarm.

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 Swarm using your package manager: `git clone https://github.com/christopherkarani/Swarm.git`

2

Initialize your project workspace or configuration file for Swarm.

3

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

4

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

👍 Strengths

Active community backing with 582 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

christopherkarani/Swarm is currently ranked #3,395 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,389 TencentCloud/tencentcloud-sdk-java Java ★ 583 Compare ↗
#3,389 Automattic/wordpress-activitypub PHP ★ 583 Compare ↗
#3,389 tkslucas/Neodisk Swift ★ 583 Compare ↗
#3,389 joshuar/go-hass-agent Go ★ 583 Compare ↗
#3,389 henryzawadzki6542/cloudflare-turnstile-bypass Python ★ 583 Compare ↗
#3,395 christopherkarani/Swarm This Project Swift ★ 582
#3,395 contentful/rich-text TypeScript ★ 582 Compare ↗
#3,395 mogenius/renovate-operator Go ★ 582 Compare ↗
#3,395 v-modal/vmodal_sdk_android Kotlin ★ 582 Compare ↗
#3,395 Haleclipse/CometixCode Rust ★ 582 Compare ↗
#3,400 NGSolve/ngsolve C++ ★ 581 Compare ↗

Frequently Asked Questions

What does Swarm do? +

Type-safe tools, on-device inference, multi-agent workflows, memory, and guardrails, in one Swift-native runtime

What language is Swarm written in? +

The primary language is Swift. Topics include: agent, agentic-ai, agentic-systems, agents, ai.

Is Swarm actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 0 open issues being tracked.

How many stars does Swarm have? +

Swarm has 582 stars and 43 forks on GitHub.

How does Swarm rank among GitHub repositories? +

With 582 stars, christopherkarani/Swarm is ranked #3,395 globally across all repositories tracked on GitHubRepo and #199 among Swift projects.

What license is Swarm distributed under? +

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

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