Built something? We create video reels & spotlights for GitHub projects.Promote your project →
AlexsJones
Home / Rust / llmfit

AlexsJones/llmfit

Hundreds of models & providers. One command to find what runs on your hardware.

Rust ◇ gguf MIT
★38.4KSTARS
⑂2.5KFORKS
!59ISSUES
🏆#409GLOBAL RANK
🔥19DAYS TRENDING
🚀
Maintainer Growth Kit for llmfit

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

⚡ Executive Summary & Quick Facts

Authoritative Source

llmfit is llmfit is an open-source project written in Rust: Hundreds of models & providers. One command to find what runs on your hardware..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), AlexsJones/llmfit has accumulated 38,415 GitHub stars and 2,477 forks. It is written in Rust, licensed under MIT, and ranks #409 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
Repository AlexsJones/llmfit ↗
Primary Category gguf
Language & Stack Rust
Software License MIT
Community Traction ★ 38.4K stars · ⑂ 2.5K forks · #409 globally
Maintenance ● Active (Last commit: Oct 27, 2026) · 59 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 95/100 · Grade A+
✅
Is llmfit actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, llmfit is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (17 days ago). Supported by 38,415 stars and 2,477 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.

Commit Recency
Oct 27, 2026
17 days since last push
Issue Backlog
59 Open Issues
Healthy Issue Cadence
Community Backing
2.5K Forks
38.4K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for AlexsJones/llmfit
CSV
⭐ VIRAL README KIT & BACKLINKS

Add Live Star History & Verified Badges to README.md

Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

AlexsJones/llmfit Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/AlexsJones/llmfit.svg?theme=dark)](https://githubrepo.cloud/repo/AlexsJones/llmfit?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Live Badges Suite Shields.io Style

Compact badges for your README header. Real-time stars, velocity, health audit, and rank.

Featured badge Stars badge Velocity badge Health badge Rank badge
markdown (all 5 badges)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/AlexsJones/llmfit.svg?metric=featured)](https://githubrepo.cloud/repo/AlexsJones/llmfit?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/AlexsJones/llmfit.svg?metric=stars)](https://githubrepo.cloud/repo/AlexsJones/llmfit?utm_source=readme_badge) [![GitHubRepo Velocity](https://githubrepo.cloud/badge/AlexsJones/llmfit.svg?metric=velocity)](https://githubrepo.cloud/repo/AlexsJones/llmfit?utm_source=readme_badge) [![Maintenance Health](https://githubrepo.cloud/badge/AlexsJones/llmfit.svg?metric=health)](https://githubrepo.cloud/repo/AlexsJones/llmfit?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/AlexsJones/llmfit.svg?metric=rank)](https://githubrepo.cloud/repo/AlexsJones/llmfit?utm_source=readme_badge)

Momentum

+960

STARS · LAST 30 DAYS

32

PER DAY

#48

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+960+2.9K
Per day13232
Forks gained+0+50+124

llmfit gained 960 stars in the last 30 days, about 32 a day, and now has 38.4K. It is about 1 year old and has averaged roughly 38.4K stars a year. It ranks #48 among Rust repositories and #409 across all languages on GitHubRepo.

Trending Record

llmfit has maintained a continuous presence across global trending indexes, peaking at #346. Below is the 30-day activity profile:

💡 Overview

llmfit is an open-source project written in Rust: Hundreds of models & providers. One command to find what runs on your hardware.

Engineered for speed, consistency, and developer ease, it solves common hurdles in gguf, llm, localai. 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 llmfit

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

llmfit 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 llmfit.

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 llmfit using your package manager: `cargo install llmfit`

2

Initialize your project workspace or configuration file for llmfit.

3

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

4

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

👍 Strengths

Active community backing with 38,158 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

C
ultraworkers/claw-code ★ 194.8K Rust

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

Compare ↗
C

A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience

Compare ↗
C
farion1231/cc-switch ★ 151.2K Rust

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode,DeepSeek Harness and more. Only official website: ccswitch.io

Compare ↗
C
openai/codex ★ 134.9K Rust

Lightweight coding agent that runs in your terminal

Compare ↗

👥 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

AlexsJones/llmfit is currently ranked #409 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#404 harness/harness Go ★ 38.5K Compare ↗
#405 dotnet/aspnetcore C# ★ 38.5K Compare ↗
#406 cjpais/Handy Rust ★ 38.5K Compare ↗
#407 istio/istio Go ★ 38.4K Compare ↗
#408 sgl-project/sglang Python ★ 38.4K Compare ↗
#409 AlexsJones/llmfit This Project Rust ★ 38.4K
#410 searxng/searxng Python ★ 38.3K Compare ↗
#411 servo/servo Rust ★ 38.3K Compare ↗
#412 PhilJay/MPAndroidChart Kotlin ★ 38.2K Compare ↗
#413 vlang/v V ★ 38.1K Compare ↗
#414 glanceapp/glance Go ★ 38K Compare ↗
SPONSORED Trending Developer Tools & Services

Frequently Asked Questions

What does llmfit do? +

Hundreds of models & providers. One command to find what runs on your hardware.

Is llmfit actively maintained in 2026? +

Yes, llmfit is actively maintained. The latest code push was recorded on Oct 27, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 38,415 stars and 59 open issues.

What language is llmfit written in? +

The primary language is Rust. Topics include: gguf, llm, localai, mlx, skill.

How many stars does llmfit have? +

llmfit has 38,415 stars and 2,477 forks on GitHub.

How does llmfit rank among GitHub repositories? +

With 38,415 stars, AlexsJones/llmfit is ranked #409 globally across all repositories tracked on GitHubRepo and #48 among Rust projects.

What license is llmfit distributed under? +

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

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.

SPONSORED Sponsored Partner