Rig

Simple, unified interface to multiple Generative AI providers. Use OpenAI, Anthropic, Google, and 10+ other providers with a standardized API similar to OpenAI's. Switch between models or providers with a single line of code. MIT licensed.

Application framework for AI engineering in the Spring ecosystem. Unified API for LLMs, vector stores, and embedding models with seamless integration into Spring Boot applications. Supports RAG, tool calling, and structured outputs. Apache 2.0 licensed.

TypeScript framework for building reliable AI applications. "Official" DSPy-inspired framework for TypeScript with type-safe LLM interactions, chain-of-thought reasoning, and structured output validation. Apache 2.0 licensed.

Open-source framework for building full-stack AI-powered applications in JavaScript, Go, and Python. Built and used in production by Google's Firebase. Unified interface for integrating AI models from multiple providers with built-in RAG, tool calling, structured outputs, and developer tools. Apache 2.0 licensed.

Effortless LLM extraction framework for documents. Powerful abstractions for building extraction workflows with automated dynamic prompts, data modeling, validation, and precise reference mapping. Apache 2.0 licensed.

The ultimate LLM/AI application development framework in Go. Drawing from LangChain and Google ADK, designed to follow Go conventions with composable components for chains, agents, and workflows. Apache 2.0 licensed.