Rig: A Rust framework for building modular, scalable LLM applications. Features a unified LLM interface, Rust-native performance, and advanced AI workflow abstractions to streamline development.
About
As AI application development evolves at a rapid pace, developers need a powerful and reliable tool to build the next generation of intelligent systems. Rig was created to meet that need: it is a framework designed specifically for the Rust language, helping developers easily build modular, scalable large language model (LLM) applications. By offering a unified LLM interface and advanced AI workflow abstractions, Rig combines Rust's native high performance with the flexibility of AI development, dramatically simplifying the entire development process.
Key Features
Pricing & Fees
- Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
- License: Rig is an open-source Rust library released under the MIT License, so the framework itself is free to use.
- Installation: Available via Cargo (`cargo add rig`) for integration into Rust projects.
- Ecosystem: Supports 20+ LLM providers and 10+ vector stores through one unified API, with type-safe tools and structured output.
- Maturity: Widely adopted, with 8K+ GitHub stars, 3.7M+ downloads, 231+ contributors, and 30+ teams using it in production.
Who It's For
Rig is well suited for developers and teams who want to integrate AI capabilities into existing Rust backend systems or high-performance services, build LLM applications that demand extreme performance, security, and reliability, or create complex, maintainable, production-oriented AI workflows and intelligent agents. It is also a great fit for technology enthusiasts who are familiar with or willing to learn Rust and see its potential in the AI infrastructure space.
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