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SciSharp/LLamaSharp

A C#/.NET library to run LLM (πŸ¦™LLaMA/LLaVA) on your local device efficiently.

β˜…3.8KSTARS
β‘‚515FORKS
!22ISSUES
πŸ†#3,124GLOBAL RANK
πŸ”₯12DAYS TRENDING
πŸš€
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⚑ Executive Summary & Quick Facts

Authoritative Source

LLamaSharp is LLamaSharp is an open-source project written in C#: A C#/.NET library to run LLM (πŸ¦™LLaMA/LLaVA) on your local device efficiently..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), SciSharp/LLamaSharp has accumulated 3,810 GitHub stars and 515 forks. It is written in C#, licensed under MIT, and ranks #3,124 globally. It is actively maintained with the latest commit recorded on Oct 17, 2026.”
Repository SciSharp/LLamaSharp β†—
Primary Category chatbot
Language & Stack C#
Software License MIT
Community Traction β˜… 3.8K stars Β· β‘‚ 515 forks Β· #3,124 globally
Maintenance ● Active (Last commit: Oct 17, 2026) Β· 22 open issues
Target Audience Developers and engineering teams building with C#, seeking reliable, tested, and actively maintained tooling for production workloads.

πŸ›‘οΈ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 Β· Grade A+
βœ…
Is LLamaSharp actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, LLamaSharp is actively maintained. Continuous telemetry recorded the last code commit on Oct 17, 2026 (13 days ago). Supported by 3,810 stars and 515 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 17, 2026
13 days since last push
Issue Backlog
22 Open Issues
Healthy Issue Cadence
Community Backing
515 Forks
3.8K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for SciSharp/LLamaSharp
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Momentum

+95

STARS Β· LAST 30 DAYS

3

PER DAY

#148

MOST-STARRED C#

Window7 days30 days90 days
Stars gained+0+95+270
Per day133
Forks gained+0+10+26

LLamaSharp gained 95 stars in the last 30 days, about 3 a day, and now has 3.8K. It is about 3 years old and has averaged roughly 1.3K stars a year. It ranks #148 among C# repositories and #3,124 across all languages on GitHubRepo.

Trending Record

LLamaSharp has maintained a continuous presence across global trending indexes, peaking at #5653. Below is the 30-day activity profile:

πŸ’‘ Overview

LLamaSharp is an open-source project written in C#: A C#/.NET library to run LLM (πŸ¦™LLaMA/LLaVA) on your local device efficiently.

Engineered for speed, consistency, and developer ease, it solves common hurdles in chatbot, gpt, llama. 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 C# 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.

πŸ“₯ Installation

terminal
$ git clone https://github.com/SciSharp/LLamaSharp.git
cd LLamaSharp

βš™ System Requirements

Platforms

  • β€’ macOS
  • β€’ Linux
  • β€’ Windows

Runtime & Dependencies

C# environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

LLamaSharp coordinates its core functionality through a modular C# 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 LLamaSharp.

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.

πŸš€ Getting Started

1

Install LLamaSharp using your package manager: `git clone https://github.com/SciSharp/LLamaSharp.git`

2

Initialize your project workspace or configuration file for LLamaSharp.

3

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

4

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

πŸ‘ Strengths

Active community backing with 3,810 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in C# 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 C# 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

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πŸ‘₯ Who Should Use This

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

πŸ† Nearby in the Rankings

SciSharp/LLamaSharp is currently ranked #3,124 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,119 oddbird/susy SCSS β˜… 3.8K Compare β†—
#3,120 OpenHFT/Chronicle-Queue Java β˜… 3.8K Compare β†—
#3,121 itchyny/gojq Go β˜… 3.8K Compare β†—
#3,121 fern-api/fern TypeScript β˜… 3.8K Compare β†—
#3,123 fnando/i18n-js Ruby β˜… 3.8K Compare β†—
#3,124 SciSharp/LLamaSharp This Project C# β˜… 3.8K
#3,124 mckinsey/vizro Python β˜… 3.8K Compare β†—
#3,126 defunkt/gist Ruby β˜… 3.8K Compare β†—
#3,126 sorbet/sorbet C++ β˜… 3.8K Compare β†—
#3,126 skyhook-io/radar Go β˜… 3.8K Compare β†—
#3,129 edoardottt/cariddi Go β˜… 3.8K Compare β†—
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Frequently Asked Questions

What does LLamaSharp do? +

A C#/.NET library to run LLM (πŸ¦™LLaMA/LLaVA) on your local device efficiently.

Is LLamaSharp actively maintained in 2026? +

Yes, LLamaSharp is actively maintained. The latest code push was recorded on Oct 17, 2026 (13 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 3,810 stars and 22 open issues.

What language is LLamaSharp written in? +

The primary language is C#. Topics include: chatbot, gpt, llama, llama-cpp, llama2.

How many stars does LLamaSharp have? +

LLamaSharp has 3,810 stars and 515 forks on GitHub.

How does LLamaSharp rank among GitHub repositories? +

With 3,810 stars, SciSharp/LLamaSharp is ranked #3,124 globally across all repositories tracked on GitHubRepo and #148 among C# projects.

What license is LLamaSharp distributed under? +

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

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