“code generation”

Rust library for LLM applications with agents, tool calling, streaming and 20+ model providers, plus a terminal coding agent.

TypeScript library that lets agents call MCP and UTCP tools by running model-written code in a sandbox.

TypeScript toolkit for AI apps and agents with a unified provider API, streaming, UI hooks and a wrapper for running established agent harnesses.

Open-source Python framework for multi-agent systems: agent societies, memory, RAG, code interpreters, synthetic data and large-scale simulation.

Python framework for generative AI agents, pipelines and parallel workflows, with RAG engines, tools, memory and swappable drivers.

Python library that turns files in S3, GCS and Azure into versioned, typed datasets for pipelines and agents.

Ruby library for LLM-powered apps with a unified LLM interface, prompt tools, output parsers, RAG and assistants.