Rig
Build powerful, modular LLM applications in Rust with unified interfaces and high performance.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Rig, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
Rig is an open-source Rust framework for creating LLM-powered applications. It offers a consistent API across different LLM providers, advanced AI workflow abstractions, and type-safe interactions. Rig enables developers to build everything from simple chatbots to complex RAG systems and multi-agent setups with ease and efficiency.
Key features and capabilities
- Unified LLM interface
- Advanced AI workflow abstractions
- Type-safe LLM interactions
- Seamless vector store integration
- Flexible embedding support
- High-performance Rust implementation
Use cases
- Building AI agents for specific tasks (e.g., flight search, research assistance)
- Implementing RAG (Retrieval-Augmented Generation) systems
- Creating multi-agent AI applications
- Developing chatbots and conversational AI
- Constructing semantic search and recommendation systems