Run any agent on any model, models stored as OCI images
Star History
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+14
STARS · LAST 30 DAYS
1
PER DAY
#841
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +14 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
llmman gained 14 stars in the last 30 days, about 1 a day, and now has 557. It is about 1 year old and has averaged roughly 557 stars a year. It ranks #841 among Rust repositories and #8,458 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#9105
BEST RANK
Oct 17, 2026
FIRST APPEARANCE
Active
STATUS TODAY
llmman has maintained a continuous presence across global trending indexes, peaking at #9105. Below is the 30-day activity profile:
💡 Overview
llmman is an open-source project written in Rust: Run any agent on any model, models stored as OCI images.
Engineered for speed, consistency, and developer ease, it solves common hurdles in claude-code, codex, llama-cpp. 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 llmman⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
llmman 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 llmman.
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 llmman using your package manager: `cargo install llmman`
Initialize your project workspace or configuration file for llmman.
Import llmman into your codebase or invoke it directly from your terminal.
Execute your test suite or run `llmman --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
llmmanorg/llmman is currently ranked #8,458 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,451 | readium/swift-toolkit | Swift | ★ 558 | Compare ↗ |
| #8,451 | encounter/aurora | C++ | ★ 558 | Compare ↗ |
| #8,451 | eugenioenko/ttt | Go | ★ 558 | Compare ↗ |
| #8,451 | digital-grease/fauxx | Kotlin | ★ 558 | Compare ↗ |
| #8,451 | automic-vault/automic-vault | Rust | ★ 558 | Compare ↗ |
| #8,458 | llmmanorg/llmman This Project | Rust | ★ 557 | |
| #8,458 | michael/multiselect | JavaScript | ★ 557 | Compare ↗ |
| #8,458 | hanjoongcho/aaf-easydiary | Kotlin | ★ 557 | Compare ↗ |
| #8,458 | maplibre/maplibre-tile-spec | Rust | ★ 557 | Compare ↗ |
| #8,458 | thomhurst/ModularPipelines | C# | ★ 557 | Compare ↗ |
| #8,458 | Azure/karpenter-provider-azure | Go | ★ 557 | Compare ↗ |
Frequently Asked Questions
What does llmman do? +
Run any agent on any model, models stored as OCI images
What language is llmman written in? +
The primary language is Rust. Topics include: claude-code, codex, llama-cpp, llm, mlx.
Is llmman actively maintained? +
Yes, the last recorded push was on Oct 16, 2026 with 34 open issues being tracked.
How many stars does llmman have? +
llmman has 557 stars and 67 forks on GitHub.
How does llmman rank among GitHub repositories? +
With 557 stars, llmmanorg/llmman is ranked #8,458 globally across all repositories tracked on GitHubRepo and #841 among Rust projects.
What license is llmman distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
