# AI resources — Remote AI

> Explore AI model websites, API docs, open tools, agent extensions, evaluations, and courses.

Source: https://remoteai.piperhex.com/en/resources/

## Model websites

Explore model families and products, starting with their official websites.

- [OpenAI / GPT](https://openai.com/): Explore GPT models, ChatGPT, Codex, and product and research updates from OpenAI.

- [Claude](https://claude.com/): Discover Anthropic’s assistant for writing, analysis, coding, and team collaboration.

- [Gemini](https://deepmind.google/models/gemini/): Explore Google’s Gemini family and its text, image, audio, and multimodal capabilities.

- [DeepSeek](https://www.deepseek.com/): Find DeepSeek’s chat experience, model information, and API platform.

- [Qwen](https://qwen.ai/): Visit Qwen’s official home to try AI chat and explore its model ecosystem.

- [Kimi](https://www.kimi.com/): Explore Moonshot’s assistant for working with documents, knowledge, and code.

- [Z.ai / GLM](https://z.ai/): Try chat and agent experiences powered by the GLM model family.

- [Mistral AI](https://mistral.ai/): Discover Mistral models, Le Chat, its developer platform, and open model ecosystem.

- [Grok](https://x.ai/): Learn about Grok models and products, with links to chat and developer resources.

- [MiniMax](https://www.minimax.io/): Explore MiniMax’s language, speech, music, and video models and products.

## APIs & documentation

Find model capabilities, integration guides, and examples when you are ready to build.

- [OpenAI API](https://developers.openai.com/api/docs): Official guides and API reference for model calls, tools, images, and audio.

- [Claude API](https://platform.claude.com/docs/en/home): Find Claude SDKs, API reference, and examples, from a first request to application integration.

- [Gemini API](https://ai.google.dev/gemini-api/docs): Google’s Gemini guides cover multimodal requests, tools, and access to AI Studio.

- [DeepSeek API](https://api-docs.deepseek.com/): Read DeepSeek integration examples, model details, token usage guidance, and error codes.

## Local & open tools

Discover models and datasets, or run open models on your own computer.

- [Hugging Face](https://huggingface.co/): Browse models, datasets, and Spaces demos, with model cards and community projects.

- [ModelScope](https://modelscope.cn/): Discover models, datasets, Chinese-language resources, and developer projects on ModelScope.

- [Ollama](https://ollama.com/): Download and run open models, and explore tools and a model library for local use.

- [LM Studio](https://lmstudio.ai/): Explore and run open models on your desktop for chat, work, and coding.

## Agents & extensions

Learn about coding agents, tool connections, and reusable skills for your workflow.

- [Codex](https://learn.chatgpt.com/docs/developers): Official developer guides to Codex workflows, extensions, and integrations.

- [Model Context Protocol](https://modelcontextprotocol.io/): The official MCP specification and docs for connecting AI applications to tools and data.

- [Agent Skills](https://agentskills.io/): Learn the open skills format for packaging knowledge, instructions, and reusable resources.

- [AGENTS.md](https://agents.md/): Give coding agents project context, build steps, test commands, and coding conventions.

## Evaluation & learning

Use evaluations alongside your own tasks to explore models, then learn through courses and examples.

- [Artificial Analysis](https://artificialanalysis.ai/): Compare model capabilities, speed, and cost through independent evaluations and methodologies.

- [Arena](https://arena.ai/leaderboard): Explore rankings informed by real usage and user comparisons across different tasks.

- [Hugging Face Learn](https://huggingface.co/learn): Learn about language models, agents, audio, and computer vision with courses and examples.

- [DeepLearning.AI](https://www.deeplearning.ai/courses?types=short_course): Practice prompting, RAG, and agent development through focused short courses.

Links lead to each resource’s own website. Visit the source for features and usage details.

[GitHub](https://github.com/piperhex/remoteai) · [Apache-2.0](https://github.com/piperhex/remoteai/blob/master/LICENSE)