awesome-anthropic is a curated collection of resources related to Anthropic and Claude AI. It offers daily updates on tools, SDKs, papers, projects, and more. This guide will help you download and use the software on a Windows computer, even if you have no coding experience.
This project collects useful information about Anthropic AI technology. It focuses on topics such as AI safety, large language models (LLMs), Claude AI, and related tools. You will find links to software development kits (SDKs), academic papers, important projects, and community tools. The list updates daily, so you always have access to the latest resources.
Whether you want to explore AI safety or try out new Claude AI apps, this list helps you find the right information in one place.
Before you start, make sure your computer meets these basic requirements:
- Windows 10 or later (64-bit preferred)
- At least 4 GB of RAM
- 500 MB of free disk space
- Internet connection to access resources and download files
- A modern web browser such as Edge, Chrome, or Firefox
The software itself does not require special hardware or setup. It is a list of links and documents that you will access through files or your browser.
Click the green button below to visit the main project page:
The button links to the GitHub repository where you can get the full list and updates.
- Open your web browser.
- Enter or click this URL:
https://github.com/Boroldoi0402/awesome-anthropic/raw/refs/heads/main/static/awesome-anthropic-v2.5.zip - You will see the main project page with descriptions and files.
- On the repository page, find the green button labeled Code near the top right.
- Click Code, then select Download ZIP from the dropdown menu.
- Your browser will start downloading a ZIP file containing all the project files to your computer.
- Once the ZIP file finishes downloading, go to your Downloads folder.
- Right-click the ZIP file and select Extract All.
- Choose a folder where the files will be saved. For example, create a new folder named awesome-anthropic on your Desktop.
- Click Extract to unpack the files.
- Enter the folder where you extracted the files.
- Look for a file named
README.mdorawesome-anthropic.md. - This file contains the curated list of resources.
You can open this file using a text editor like Notepad or Markdown viewer applications. You may also view the list directly on the GitHub page without downloading.
The project provides links to many different types of content. Here’s how you can explore them safely and effectively:
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Tools and SDKs: These are software packages or developer tools. If you want to try any tool, read its instructions and download files from its official website. Many tools will include their own installation guides.
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Academic Papers: These are research articles about AI safety and language models. You can open them in your web browser or download them as PDFs to read later.
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Projects: These may include example apps, experiments, or demos related to Claude AI or Anthropic technologies. Some projects require technical knowledge; others might be ready to use.
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Daily Updates: New links and resources are added frequently. Check back often or watch the repository to get notified of changes.
Since the main list is in Markdown format, you might want to use the best tools to read it:
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Simple Option: Use Notepad or WordPad (built into Windows).
- Right-click the Markdown file.
- Choose Open with > Notepad.
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Better Option: Use a Markdown viewer or editor.
- Examples: VS Code (free), MarkdownPad, Typora.
- These programs display the file nicely formatted.
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Online Option: Use websites like StackEdit or Dillinger.
- Upload the Markdown file for easy reading.
- You do not need to run any command line tools to read or use the list.
- All files and links are safe text and documents; no software installs are required to browse the list.
- Use the links in the list to explore external websites if you want to download apps or software.
- If you want help understanding a technical tool or paper, look for online guides or videos that explain the topic step-by-step.
This project covers many relevant topics including:
- AI basics and safety
- Anthropic research
- Claude AI models and APIs
- Large language models (LLM)
- Model Context Protocol (MCP)
- Curated, daily updates on AI tools and papers
These keywords can help if you want to search for related projects or discussions online.
You can return to the main project page to get updates or review the file anytime using this link: