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An open-source Rust framework for building high-performance LLM applications and AI agents - the systems-language answer to LangChain and LlamaIndex.
An open-source Rust framework for building high-performance LLM applications and AI agents - the systems-language answer to LangChain and LlamaIndex.
Rig is an ergonomic Rust library for building AI agents, RAG pipelines, and tool-using LLM applications. It was created by the team at Playgrounds Analytics and open-sourced under an MIT license. Where LangChain and LlamaIndex dominate the Python ecosystem, Rig gives Rust developers a first-class option - useful when you need the throughput, memory safety, and single-binary deployment characteristics of Rust rather than a Python runtime. The API is provider-agnostic: swap between OpenAI, Anthropic, Google Gemini, Cohere, Mistral, xAI Grok, DeepSeek, or a local Ollama endpoint by changing one line. Rig ships primitives for prompting, tool calls, structured outputs, embeddings, vector stores (LanceDB, Qdrant, Mongo, in-memory), and multi-agent orchestration. The framework has become the de facto choice for AI features inside Solana and other high-performance blockchain agents where a Python dependency would be a non-starter. It is fully open-source and has an active community on GitHub and Discord. Best for backend teams already invested in Rust, edge and embedded AI deployments, and performance-sensitive agent runtimes that need to handle thousands of concurrent LLM calls efficiently.
Feature information is available on the official website.
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