AlexsJones/llmfit
Hundreds of models & providers. One command to find what runs on your hardware.
⚡ Executive Summary & Quick Facts
Authoritative Sourcellmfit is llmfit is an open-source project written in Rust: Hundreds of models & providers. One command to find what runs on your hardware..
“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+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.
Star History
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Momentum
+960
STARS · LAST 30 DAYS
32
PER DAY
#48
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +960 | +2.9K |
| Per day | 1 | 32 | 32 |
| 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
19
DAYS ON TRENDING
#346
BEST RANK
Oct 20, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Rust for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install llmfit using your package manager: `cargo install llmfit`
Initialize your project workspace or configuration file for llmfit.
Import llmfit into your codebase or invoke it directly from your terminal.
Execute your test suite or run `llmfit --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #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 ↗ |
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| #414 | glanceapp/glance | Go | ★ 38K | Compare ↗ |
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.