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rig

Rust framework for building LLM agents, tools, and vector search

Builds LLM-powered applications in Rust with one unified interface for 20+ model providers and 10+ vector stores. Handles agent workflows, streaming, tool calling, embeddings, and semantic search without writing provider-specific boilerplate. Includes typed hooks, error handling, and WASM support so developers ship production AI features faster.
npx skills add 0xPlaygrounds/rig --all -g -y
Available:

Gives AI coding agents the engineering rules for working in this repository, covering its crate architecture, provider and vector-store patterns, error handling, testing, and verification commands.

All Skills in This Repository (7)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install Rig?โ–ผ

Run `npx skills add 0xPlaygrounds/rig --all -g -y` in your terminal to install all skills in this suite globally.

What is the Rig Rust library used for?โ–ผ

Rig is a Rust framework for building LLM-powered apps, giving you agents, tool calling, embeddings, and vector search through one consistent API.

Which AI providers does Rig support?โ–ผ

Rig supports 20+ providers including OpenAI, Anthropic, Gemini, and AWS Bedrock, plus 10+ vector stores like Qdrant, MongoDB, Neo4j, and Milvus.

Can Rig run in the browser with WebAssembly?โ–ผ

Yes. Rig's portable core and classic agent runtime support wasm32-unknown-unknown targets, so agents can run directly in the browser.

Do I need deep Rust experience to use Rig?โ–ผ

Basic Rust knowledge is enough. Rig's builder-style API lets you create a working AI agent with just a few lines of code.

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