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Mobile-Artificial-Intelligence
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Mobile-Artificial-Intelligence/llama_sdk

lcpp is a dart implementation of llama.cpp used by the mobile artificial intelligence distribution (maid)

C++ ◇ facebook MIT
★122STARS
⑂25FORKS
!8ISSUES
🏆#24,273GLOBAL RANK
🔥26DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

llama_sdk is llama_sdk is an open-source project written in C++: lcpp is a dart implementation of llama.cpp used by the mobile artificial intelligence distribution (maid)..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Mobile-Artificial-Intelligence/llama_sdk has accumulated 122 GitHub stars and 25 forks. It is written in C++, licensed under MIT, and ranks #24,273 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
Repository Mobile-Artificial-Intelligence/llama_sdk ↗
Primary Category facebook
Language & Stack C++
Software License MIT
Community Traction ★ 122 stars · ⑂ 25 forks · #24,273 globally
Maintenance ● Active (Last commit: Oct 27, 2026) · 8 open issues
Target Audience Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

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

Yes, llama_sdk is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (17 days ago). Supported by 122 stars and 25 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.

Commit Recency
Oct 27, 2026
17 days since last push
Issue Backlog
8 Open Issues
Healthy Issue Cadence
Community Backing
25 Forks
122 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Mobile-Artificial-Intelligence/llama_sdk
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Momentum

+2

STARS · LAST 30 DAYS

1

PER DAY

#1,873

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+0+2+90
Per day111
Forks gained+0+0+10

llama_sdk gained 2 stars in the last 30 days, about 1 a day, and now has 122. It is about 3 years old and has averaged roughly 41 stars a year. It ranks #1,873 among C++ repositories and #24,273 across all languages on GitHubRepo.

Trending Record

llama_sdk has maintained a continuous presence across global trending indexes, peaking at #7182. Below is the 30-day activity profile:

💡 Overview

llama_sdk is an open-source project written in C++: lcpp is a dart implementation of llama.cpp used by the mobile artificial intelligence distribution (maid).

Engineered for speed, consistency, and developer ease, it solves common hurdles in facebook, flutter-ai, gemma. 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.

📥 Installation

terminal
$ git clone https://github.com/Mobile-Artificial-Intelligence/llama_sdk.git
cd llama_sdk

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

llama_sdk 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 llama_sdk.

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 llama_sdk using your package manager: `git clone https://github.com/Mobile-Artificial-Intelligence/llama_sdk.git`

2

Initialize your project workspace or configuration file for llama_sdk.

3

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

4

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

👍 Strengths

Active community backing with 120 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

T
tensorflow/tensorflow ★ 201.6K C++

An Open Source Machine Learning Framework for Everyone

Compare ↗
L
ggml-org/llama.cpp ★ 134.2K C++

LLM inference in C/C++

Compare ↗
R
react/react-native ★ 126.8K C++

A framework for building native applications using React

Compare ↗
E
electron/electron ★ 123.8K C++

:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

Compare ↗

👥 Who Should Use This

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

🏆 Nearby in the Rankings

Mobile-Artificial-Intelligence/llama_sdk is currently ranked #24,273 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#24,201 Panchovix/nvidia-vbios-vix-editor Python ★ 123 Compare ↗
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#24,273 Mobile-Artificial-Intelligence/llama_sdk This Project C++ ★ 122
#24,273 vigetlabs/acts_as_markup Ruby ★ 122 Compare ↗
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Frequently Asked Questions

What does llama_sdk do? +

lcpp is a dart implementation of llama.cpp used by the mobile artificial intelligence distribution (maid)

Is llama_sdk actively maintained in 2026? +

Yes, llama_sdk is actively maintained. The latest code push was recorded on Oct 27, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 122 stars and 8 open issues.

What language is llama_sdk written in? +

The primary language is C++. Topics include: facebook, flutter-ai, gemma, ggml, gguf.

How many stars does llama_sdk have? +

llama_sdk has 122 stars and 25 forks on GitHub.

How does llama_sdk rank among GitHub repositories? +

With 122 stars, Mobile-Artificial-Intelligence/llama_sdk is ranked #24,273 globally across all repositories tracked on GitHubRepo and #1,873 among C++ projects.

What license is llama_sdk distributed under? +

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

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