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agent-sh/agnix

The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plugin for all major IDEs included, with autofixes.

Rust ◇ agent Apache-2.0
★444STARS
⑂34FORKS
!0ISSUES
🏆#7,378GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+11

STARS · LAST 30 DAYS

1

PER DAY

#713

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+11+90
Per day111
Forks gained+1+3+10

agnix gained 11 stars in the last 30 days, about 1 a day, and now has 444. It is about 1 year old and has averaged roughly 444 stars a year. It ranks #713 among Rust repositories and #7,378 across all languages on GitHubRepo.

Trending Record

agnix has maintained a continuous presence across global trending indexes, peaking at #7176. Below is the 30-day activity profile:

💡 Overview

agnix is an open-source project written in Rust: The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plugin for all major IDEs included, with autofixes.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai, ai-agents. 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 Rust 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
$ cargo install agnix

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

agnix coordinates its core functionality through a modular Rust 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 agnix.

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 agnix using your package manager: `cargo install agnix`

2

Initialize your project workspace or configuration file for agnix.

3

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

4

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

👍 Strengths

Active community backing with 443 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust 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 Rust 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

💡
Open Source Alternative to Cursor Replaces proprietary subscriptions ($20/month per user) with self-hosted freedom.
Explore all Cursor alternatives →
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👥 Who Should Use This

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

🏆 Nearby in the Rankings

agent-sh/agnix is currently ranked #7,378 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,368 yiisoft/yii2-redis PHP ★ 446 Compare ↗
#7,368 django-getpaid/django-getpaid Python ★ 446 Compare ↗
#7,368 omdsh-dev/dsh-mnemon TypeScript ★ 446 Compare ↗
#7,376 google/go-attestation Go ★ 445 Compare ↗
#7,376 jgarber/redcloth Ragel ★ 445 Compare ↗
#7,378 agent-sh/agnix This Project Rust ★ 444
#7,378 AminMGMT/BackPack Go ★ 444 Compare ↗
#7,378 relevance/tarantula Ruby ★ 444 Compare ↗
#7,378 ThomasHabets/arping C ★ 444 Compare ↗
#7,378 szellmann/visionaray C++ ★ 444 Compare ↗
#7,378 olegkoval/magento2-regenerate_url_rewrites PHP ★ 444 Compare ↗

Frequently Asked Questions

What does agnix do? +

The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plugin for all major IDEs included, with autofixes.

What language is agnix written in? +

The primary language is Rust. Topics include: agent, ai, ai-agents, ai-coding-assistant, claude.

Is agnix actively maintained? +

Yes, the last recorded push was on Oct 6, 2026 with 0 open issues being tracked.

How many stars does agnix have? +

agnix has 444 stars and 34 forks on GitHub.

How does agnix rank among GitHub repositories? +

With 444 stars, agent-sh/agnix is ranked #7,378 globally across all repositories tracked on GitHubRepo and #713 among Rust projects.

What license is agnix distributed under? +

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

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