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Claude is a next generation AI assistant built by Anthropic and trained to be safe, accurate, and secure to help you do your best work. Create with Claude.

The Claude Agent SDK for Python is an official library from Anthropic that enables developers to build, query, and interact with AI agents powered by Claude models, supporting tools, custom MCP servers, and hooks for advanced agentic workflows.

Anthropic’s developer API for the Claude family of large language models, offering chat, vision, tool-use and agentic capabilities.

Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebase—no more context switching, just breakthrough results.

Claude Quickstarts is a collection of projects by Anthropic to help developers quickly build deployable applications using the Claude API. It includes quickstarts for a customer support agent, financial data analyst, computer use demo, and autonomous coding agent, demonstrating Claude's capabilities in natural language processing, data analysis, computer control, and automated coding.

CC-Switch is a cross-platform desktop application serving as an all-in-one assistant for Claude Code, Codex, and Gemini CLI. It unifies management of provider configurations, MCP servers, Skills extensions, and system prompts, enabling seamless switching between AI APIs, latency testing, import/export, and full lifecycle handling for MCP and Skills.

An open-source, provider-agnostic TypeScript AI SDK created by Vercel and the Next.js team. It provides a unified API to interact with multiple model providers (OpenAI, Anthropic, Google, etc.), tools for building agents, UI hooks for chat and generative interfaces, and templates to bootstrap AI-powered applications across popular frameworks.

The Claude Cookbooks is a GitHub repository by Anthropic featuring a collection of notebooks and recipes that demonstrate fun and effective ways to use the Claude AI model. It offers copy-paste Python code snippets for developers to integrate into projects, covering topics like classification, retrieval-augmented generation, tool use, third-party integrations, multimodal capabilities, and advanced techniques.

Awesome LLM Apps is a curated open-source repository collecting awesome LLM applications built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more, using models from OpenAI, Anthropic, Gemini, xAI, and open-source alternatives like Qwen or Llama that can run locally.

Letta (formerly MemGPT) is a platform for building stateful agents that maintain advanced memory, learn over time, and self-improve. It provides APIs and SDKs (Python & TypeScript), supports multiple model providers (OpenAI, Anthropic, Google, etc.), built-in tools (web search, run_code), persisted memory blocks, and options for hosted or self-hosted deployments.

Fabric is an open-source framework for augmenting humans with AI by organizing reusable prompts (called Patterns) into a modular system. It provides a CLI, REST API, and web UI, supports multiple model vendors, YouTube transcript extraction, image generation, internationalization, and pattern customization to integrate AI solutions into real-world workflows.

aisuite is a lightweight Python library that provides a unified API for working with multiple Generative AI providers. It supports models from OpenAI, Anthropic, Google, Hugging Face, AWS, Cohere, Mistral, Ollama, and others—abstracting away SDK differences, authentication details, and parameter variations. Modeled after OpenAI’s API style, it enables developers to build LLM-based or agentic applications across providers with minimal setup.