Instant, controllable, local pre-trained AI models in Rust
Star History
Momentum
+56
STARS · LAST 30 DAYS
2
PER DAY
#185
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +56 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +1 | +3 | +10 |
kalosm gained 56 stars in the last 30 days, about 2 a day, and now has 2.2K. It is about 3 years old and has averaged roughly 744 stars a year. It ranks #185 among Rust repositories and #1,764 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#1947
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
kalosm has maintained a continuous presence across global trending indexes, peaking at #1947. Below is the 30-day activity profile:
💡 Overview
kalosm is an open-source project written in Rust: Instant, controllable, local pre-trained AI models in Rust.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, candle, constrained-generation. 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 kalosm
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
kalosm 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 kalosm.
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 kalosm using your package manager: `cargo install kalosm`
Initialize your project workspace or configuration file for kalosm.
Import kalosm into your codebase or invoke it directly from your terminal.
Execute your test suite or run `kalosm --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
floneum/kalosm is currently ranked #1,764 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #1,764 | floneum/kalosm This Project | Rust | ★ 2.2K | |
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Frequently Asked Questions
What does kalosm do? +
Instant, controllable, local pre-trained AI models in Rust
What language is kalosm written in? +
The primary language is Rust. Topics include: ai, candle, constrained-generation, dioxus, floneum-v3.
Is kalosm actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 53 open issues being tracked.
How many stars does kalosm have? +
kalosm has 2,231 stars and 135 forks on GitHub.
How does kalosm rank among GitHub repositories? +
With 2,231 stars, floneum/kalosm is ranked #1,764 globally across all repositories tracked on GitHubRepo and #185 among Rust projects.
What license is kalosm distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.