Tool overview
Rig is listed under Programming AI tools.
What is Rig?
Rig is an MIT-licensed Rust framework for building LLM applications and agents. It provides unified model-provider abstractions, tool calling, embeddings, vector-store integrations, multimodal capabilities, tracing conventions, memory, and core WebAssembly compatibility.
Best for
Rust developers building portable AI agents, retrieval systems, and model applications
Who is it for?
Decision note
Rebuilt from the original export under the complete V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0, all explicit clears are reviewed, image import is disabled or V380 accepts the asset, one representative WordPress edit screen is compared with the export and proposed row, and a post-Apply zero-change Preview is completed.
Key features
Unified Rust interface for model providers
Agentic workflows, tools, and embeddings
Vector-store and database integrations
Server, edge, and core WebAssembly support
Use cases
Build Rust AI agents
Create RAG applications
Run local or server workflows
Compile portable agent components
Pros
- MIT licensed and free
- Active release series
- Strong Rust portability and type safety
Cons
- Model-provider costs are separate
- Framework APIs can change between releases
Limitations
Model responses, tool actions, memory, and retrieval can be incorrect and require tests and permission controls.
Developers must validate provider compatibility, WebAssembly limitations, latency, secrets, and deployment behavior.
Pricing details
Billing options
Pricing note
Rig is free under MIT. Users separately pay model-provider, database, vector-store, hosting, observability, and infrastructure costs.
Supported programming languages
- English
Integrations
OpenAI
Anthropic
Google Gemini
AWS Bedrock
Qdrant
PostgreSQL
MongoDB
LanceDB
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