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automation

Build Scalable AI with rig

Create modular LLM applications with rig, a tool for founders using Rust. 7.8k+ GitHub stars
7,865 stars873 forksRustQuality 9/10Updated 7/9/2026100% free · open source
What it does

Rig is a tool for building modular and scalable Large Language Model (LLM) applications in Rust, allowing founders to create custom AI-powered solutions.

Install / run
cargo new --lib my_rig_app && cd my_rig_app && cargo add rig
When to use it
  • •When you need to integrate LLMs into a Rust-based application
  • •When you want to build a scalable and modular AI-powered system
  • •When you require a high degree of customization and control over your LLM application
Quick start
  1. 1Create a new Rust library project with `cargo new --lib my_rig_app`
  2. 2Add the rig dependency to your `Cargo.toml` file with `cargo add rig`
  3. 3Define your LLM application's modules and components in the `src/lib.rs` file
  4. 4Use the `rig::build` function to construct and configure your LLM application
  5. 5Run your application with `cargo run` to test and validate your setup
Ready-to-paste prompt
cargo run --example my_rig_app --features default
Heads up: Make sure you have the latest version of Rust (1.64 or higher) installed, as rig relies on newer language features and dependencies
Saves to your device

Topics

agent
ai
artificial-intelligence
automation
generative-ai
large-language-model
llm
llmops
rust
scalable-ai
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

13
top-level files
6
folders
30.7M
repo size
MIT
license
Key files
.pre-commit-config.yaml
AGENTS.md
README.md
File tree
.github/
crates/
examples/
img/
src/
tests/
.gitignore
.pre-commit-config.yaml
AGENTS.md
Cargo.lock
Cargo.toml
CHANGELOG.md
CONTRIBUTING.md
flake.lock
flake.nix
LICENSE
README.md
release-plz.toml
rust-toolchain.toml
Quick Actions
Details
Creator
0xPlaygrounds
Language
Rust
Category
automation
Published
6/5/2024

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