Rig
Build modular and scalable LLM Applications in Rust
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is Rig?
Rig is a framework for building modular and scalable language model applications using Rust. It provides the tools necessary to develop efficient, high-performance AI-driven apps.
Key differentiator
“Rig stands out as the only Rust-based framework designed specifically for building modular and scalable language model applications, offering unparalleled performance and flexibility.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Rig leverages Rust's unique features such as ownership and borrowing, which can be challenging for developers unfamiliar with these concepts.
The primary focus on Rust means that integrations and libraries in other languages are sparse or non-existent, limiting the tool's utility outside of Rust ecosystems.
Setting up a Rig project requires configuring multiple components including build systems, dependency management with Cargo, and integrating language models, which can be cumbersome.
To fully leverage the performance benefits of Rig, developers must have a thorough understanding of Rust's memory model and optimization techniques.
Fit analysis
Who is it for?
✓ Best for
Rust developers looking to build scalable and performant language model applications
Teams needing a robust framework for integrating various language models into their projects
✕ Not a fit for
Developers preferring high-level languages like Python or JavaScript
Projects requiring real-time streaming capabilities (batch-only architecture)
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with Rig
Step-by-step setup guide with code examples and common gotchas.