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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 today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add rigHow it fits your stack(12)
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Integrates
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Rust library dedicated to the development of scalable and modular Large Language Model (LLM) applications.
Capability facts
- Languages
- rust
Source: github.language · Aug 20, 2026
Categories
Tags
README
📑 Docs • 🌐 Website • 🤝 Contribute • ✍🏽 Blogs •
✨ If you would like to help spread the word about Rig, please consider starring the repo!
[!WARNING] Here be dragons! As we plan to ship a torrent of features in the following months, future updates will contain breaking changes. With Rig evolving, we'll annotate changes and highlight migration paths as we encounter them.
Table of contents
- Table of contents
- What is Rig?
- Features
- Runtime choices
- Who's using Rig?
- Get Started
- Simple example
- Integrations
What is Rig?
Rig is a Rust library for building scalable, modular, and ergonomic LLM-powered applications.
More information about this crate can be found in the official and crate API reference documentation.
Features
- Agentic workflows that can handle multi-turn streaming and prompting
- A classic agent runtime enabled by default
- Full GenAI Semantic Convention compatibility
- 20+ model providers, all under one singular unified interface
- 10+ vector store integrations, all under one singular unified interface
- Full support for LLM completion and embedding workflows
- Support for transcription, audio generation and image generation model capabilities
- Integrate LLMs in your app with minimal boilerplate
- Browser-WASM (
wasm32-unknown-unknown) support for the portable core and classic runtime — see target support for the full matrix (WASI is not supported;rmcpis native-only)
Runtime choices
Rig separates portable provider/backend contracts from agent orchestration:
rig-corecontains provider-neutral messages, completion models, portable tools, memory and vector-store contracts, and built-in provider mappings.rig-agentcontains the classic builder, prompt/streaming traits, typed hooks, contextual tools, extraction, and the serializableAgentRunstate machine. It remains enabled by default.
The root rig facade re
For agents
This page has a .md twin and JSON over the API.