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alibaba/neug

The one data index for your agentic applications

C++ ◇ agent-tools Apache-2.0
★169STARS
⑂36FORKS
!64ISSUES
🏆#14,278GLOBAL RANK
🔥4DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,079

MOST-STARRED C++

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

neug gained 10 stars in the last 30 days, about 1 a day, and now has 169. It is about 1 year old and has averaged roughly 169 stars a year. It ranks #1,079 among C++ repositories and #14,278 across all languages on GitHubRepo.

Trending Record

neug has maintained a continuous presence across global trending indexes, peaking at #13010. Below is the 30-day activity profile:

💡 Overview

neug is an open-source project written in C++: The one data index for your agentic applications.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-tools, code-graph, codegraphcontext. 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/alibaba/neug.git
cd neug

⚙ 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

neug 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 neug.

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 neug using your package manager: `git clone https://github.com/alibaba/neug.git`

2

Initialize your project workspace or configuration file for neug.

3

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

4

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

👍 Strengths

Active community backing with 169 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

T
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ggml-org/llama.cpp ★ 131.5K C++

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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

alibaba/neug is currently ranked #14,278 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#14,246 jgamblin/OpenClawCVEs Python ★ 170 Compare ↗
#14,246 nazarli-shabnam/clevis JavaScript ★ 170 Compare ↗
#14,246 PastFly/Selective-Remote Swift ★ 170 Compare ↗
#14,246 Cleverfuxaqo1668/Polymarket-Telegram-Bot JavaScript ★ 170 Compare ↗
#14,246 JakeATX/llamAmpere C++ ★ 170 Compare ↗
#14,278 alibaba/neug This Project C++ ★ 169
#14,278 eglaysher/rlvm C++ ★ 169 Compare ↗
#14,278 semanticart/is_paranoid Ruby ★ 169 Compare ↗
#14,278 danielsdeleo/deep_merge Ruby ★ 169 Compare ↗
#14,278 mynyml/holygrail Ruby ★ 169 Compare ↗
#14,278 easybuilders/easybuild-framework Python ★ 169 Compare ↗
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Frequently Asked Questions

What does neug do? +

The one data index for your agentic applications

What language is neug written in? +

The primary language is C++. Topics include: agent-tools, code-graph, codegraphcontext, graph-analytics, graph-database-vector-database.

Is neug actively maintained? +

Yes, the last recorded push was on Oct 15, 2026 with 64 open issues being tracked.

How many stars does neug have? +

neug has 169 stars and 36 forks on GitHub.

How does neug rank among GitHub repositories? +

With 169 stars, alibaba/neug is ranked #14,278 globally across all repositories tracked on GitHubRepo and #1,079 among C++ projects.

What license is neug distributed under? +

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

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