Rig

Rig is a modular Rust library for building LLM-powered applications and AI agents with a unified API.

Rig is a Rust library designed for building LLM-powered applications and AI agents. It provides a modular and high-performance framework for developers working in Rust. The library features a unified API that supports over 20 different providers. It includes type-safe tools and structured output capabilities for production-ready performance. The project is open source under the MIT license.

Rig at a glance

Best for: Software engineer
Runs on: open source
Pricing: Free
Released: June 2024
Category: AI coding tool
Website: rig.rs

Key features

Unified API across 20+ providers
Type-safe tools for LLM apps
Structured output generation
Production-ready performance
Modular Rust library design

Use it for

Build LLM-powered applications in Rust
Develop AI agents with type-safe tools

Alternatives to Rig

Rigmark — Measures local AI performance with reproducible, agent-like workloads.
Grit — Automates large-scale code refactoring and migration tasks efficiently.
Coop — Runs AI coding agents in isolated virtual machines to protect host systems.
Neptune — It combines a fast native terminal engine with built-in management for AI coding agents.
Rune — A native, high-performance editor with integrated Unix-based tool workflows.
BeautifulRust — It improves agent output using guidelines from five major Rust sources.
jevgrep — Reduces coding agent costs by providing targeted, relevant repository context.
Strata — Runs large AI models locally on consumer gaming PCs without server reliance.
llmware — Build private, local RAG pipelines with 300+ prepackaged models and integrated document parsing.
Genkit — Provides unified APIs and local developer tools for AI application workflows.
Amber 8 — It keeps execution deterministic while using a language model to handle messy text input.
Enki LLM — Runs Llama-3.2 1B in pure Rust at 40 tok/s with live GPU to CPU migration.

All Rig alternatives