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rig

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Build modular and scalable LLM Applications in Rust

GraphCanon updated Sep 30, 2026 · GitHub synced Sep 20, 2026

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8.7k stars974 forksLast push Sep 19, 2026 Rust MIT

Decision brief

Rig is a Rust library designed to create modular and scalable LLM applications with extensive support for agentic workflows, multi-turn streaming, full compatibility with GenAI conventions, and integration capabilities.

Good fit when

  • You should use Rig when you need to work with LLM applications in Rust and want full WASM (core library) compatibility.
  • If your project requires comprehensive integrations with multiple model providers via a single unified interface, Rig is the tool for you.

Avoid when

  • Avoid using Rig if you are working on applications that do not require or support Rust as it is specifically built to facilitate LLM operations within a Rust environment.
  • Rig may not be suitable if your project cannot handle potential breaking changes, which are expected due to its rapidly evolving nature and upcoming feature updates.
Hosting:
self hosted - Self-hosted as a Rust library.
Pricing:
freemium - Free to use under MIT license with potential premium support options.

Observed Jul 9, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

cargo add rig
crates.io

How it fits your stack(12)

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Evidence and technical details

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Overview

A Rust library dedicated to the development of scalable and modular Large Language Model (LLM) applications.

Capability facts

Languages
rust

Source: github.language · Sep 20, 2026

Categories

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README

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