AI SDKs

The official Python library for the OpenAI API

The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents

A lightweight, powerful framework for multi-agent workflows

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

Official JavaScript / TypeScript library for the OpenAI API

The Claude Agent SDK for Python — enables programmatic control of Claude Code to build autonomous agents.

One beautiful Ruby API for OpenAI, Anthropic, Gemini, Bedrock, Azure, OpenRouter, DeepSeek, Ollama, VertexAI, Perplexity, Mistral, xAI, GPUStack & OpenAI compatible APIs. Agents, Chat, Vision, Audio, PDF, Images, Embeddings, Tools, Streaming & Rails integration.

The Claude SDK for Python — official library providing access to the Claude API from Python applications.

The official Go library for the OpenAI API

The official .NET library for the OpenAI API

OpenAPI specification for the OpenAI API

Access to Anthropic's safety-first language model APIs in TypeScript

The official Java library for the OpenAI API

The Claude Agent SDK for TypeScript/Node.js — enables programmatic control of Claude Code's agentic capabilities.

Node.js + JavaScript reference client for the Realtime API (beta)

Access to Anthropic's safety-first language model APIs via Go

Official Ruby SDK for the OpenAI API

The Claude SDK for Ruby — official library providing access to the Claude API from Ruby applications and Rails projects.

The Claude SDK for Java — official library providing access to the Claude API from Java and Kotlin applications on the JVM.

Access to Anthropic's safety-first language model APIs in C#

OpenAI Guardrails - Python

Access to Anthropic's safety-first language model APIs in PHP

Guide developers through adding maps, places search, geocoding, routing, and other geospatial features with Amazon Location Service, including authentication setup, SDK integration, and best practices.

GoodMem memory infrastructure for AI agents. Use Python SDK skills to write code that manages embedders, spaces, and memories, or use MCP tools to perform GoodMem operations directly via natural language.

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