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google-ai-edge/LiteRT-LM

LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.

C++ ◇ edge-ai Apache-2.0
★6.6KSTARS
⑂736FORKS
!666ISSUES
🏆#1,681GLOBAL RANK
🔥13DAYS TRENDING
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Momentum

+164

STARS · LAST 30 DAYS

5

PER DAY

#119

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+0+164+450
Per day155
Forks gained+0+15+37

LiteRT-LM gained 164 stars in the last 30 days, about 5 a day, and now has 6.6K. It is about 1 year old and has averaged roughly 6.6K stars a year. It ranks #119 among C++ repositories and #1,681 across all languages on GitHubRepo.

Trending Record

LiteRT-LM has maintained a continuous presence across global trending indexes, peaking at #1222. Below is the 30-day activity profile:

💡 Overview

LiteRT-LM is an open-source project written in C++: LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.

Engineered for speed, consistency, and developer ease, it solves common hurdles in edge-ai, on-device-ai, on-device-llm. 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/google-ai-edge/LiteRT-LM.git
cd LiteRT-LM

⚙ 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

LiteRT-LM 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 LiteRT-LM.

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 LiteRT-LM using your package manager: `git clone https://github.com/google-ai-edge/LiteRT-LM.git`

2

Initialize your project workspace or configuration file for LiteRT-LM.

3

Import LiteRT-LM into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 6,542 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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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L
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👥 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

google-ai-edge/LiteRT-LM is currently ranked #1,681 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does LiteRT-LM do? +

LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.

What language is LiteRT-LM written in? +

The primary language is C++. Topics include: edge-ai, on-device-ai, on-device-llm.

Is LiteRT-LM actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 666 open issues being tracked.

How many stars does LiteRT-LM have? +

LiteRT-LM has 6,557 stars and 736 forks on GitHub.

How does LiteRT-LM rank among GitHub repositories? +

With 6,557 stars, google-ai-edge/LiteRT-LM is ranked #1,681 globally across all repositories tracked on GitHubRepo and #119 among C++ projects.

What license is LiteRT-LM distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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