Projects by Navid Moazzez
Sites, directories, apps and open-source MCP & CLIs
Every site, directory and tool Navid Moazzez is building right now, in 1 place. He builds with AI agents like Claude Code, Codex and Cursor, and he shares his MCP servers and CLIs on GitHub for free.
Trusted by creators & founders from ambitious brands
Trusted by industry leaders
Here's what some of the best-known entrepreneurs and creators in online business say about Navid and his work.
Navid is probably the #1 person in the world when it comes to hosting profitable online events.
Ryan LevesqueCEO of The ASK Method® Company
What does Navid Moazzez build?
Navid Moazzez builds sites, directories and tools for creators and founders. His main focus today is AI OS Lab, where he shows you how to build your own AI operating system (AI OS).
He isn't tied to 1 platform. He builds with AI agents like Claude Code, Codex and Cursor, on top of his own AI OS, and the live tracker below shows what he ships on GitHub and in Claude Code.
Many of his projects are directories of what he recommends, like the AI Tools Library, bestbooks.now and Creator Directory. He also shares 24 MCP servers and CLIs on GitHub for free, so any AI agent can work with the apps you already use.
Always building something
Even on the days I'm not technically working.
9,016 contributions on GitHub in the last year
You’ve used ~64221× more tokens than The Little Prince.
(I started on the $20/mo Pro plan)
Same usage on the Anthropic API would’ve cost $1,123.
(I started on the $20/mo Pro plan)
Same usage on the Anthropic API would’ve cost $1,123.
You’ve used ~18886× more tokens than The Little Prince.
(I started on the $20/mo Pro plan)
Same usage on the Anthropic API would’ve cost $0.
(I started on the $20/mo Pro plan)
Same usage on the Anthropic API would’ve cost $0.
You’ve used ~3588× more tokens than The Little Prince.
(I started on the $20/mo Pro plan)
Same usage on the Anthropic API would’ve cost $0.
(I started on the $20/mo Pro plan)
Same usage on the Anthropic API would’ve cost $0.
Which projects is Navid Moazzezworking on?
Search every project, or filter by type and status. Each card opens the project in a new tab.
AI OS5
Directories8
MCP & CLIs24
Tools and apps3
Courses and summits3
Navid's own sites3
No projects match your search.
What happened to Navid's older projects?
They're retired for now. Each one has a page with its story and where to go now.
AboutWho is Navid Moazzez?
Navid Moazzez is the founder of AI OS Lab and the host of the AI Creator Summit. He has created online courses and virtual summits since 2014.
To get his help directly, check out the ways to work with Navid, from AI consulting and team training to keynote speaking.
Navid Moazzez is a leading AI business strategist, the founder of AI OS Lab, and the host of the AI Creator Summit. He helps creators and founders master AI and build their own AI Operating System (AI OS) to automate their business and life.
He is also a lifestyle entrepreneur, creator, investor, and digital nomad, and his ideas and work have been featured in Entrepreneur, Forbes, Business Insider, Inc., HuffPost, Yahoo Finance, and many more publications.
Originally from Sweden, Navid is now a global citizen who lives around the world, with permanent residency in Panama. He loves exploring the world whenever he can, focusing on health and fitness, and learning new skills.
FAQs about Navid's projects
Want help building your own AI OS? Send me a message and tell me what you're working on.
With AI agents, on top of his own AI operating system (AI OS). His AI OS holds his context, data and tools, so whichever agent he opens, like Claude Code, Codex and Cursor, starts from the same place.
No, he doesn't. Navid is platform agnostic: he builds with Claude Code, Codex, Cursor and other AI agents, and his projects don't depend on any 1 of them. The live tracker on this page follows his GitHub contributions and his Claude Code turns.
You can read his reviews of each agent in the AI Tools Library.
An AI operating system (AI OS) is the layer underneath your AI tools that connects AI to your context, your data and your tools. It's platform agnostic, so it works with any AI agent, and it runs wherever suits you.
AI OS Lab shows you how to build yours.
Yes, you can. AI OS Lab has a free starter kit that shows you how to build your own AI OS with Claude Code, Codex or Gemini, with no coding needed.
For a guided start, join the AI OS Workshop and build yours live with Navid.
Yes, he can. Check out AI consulting to build it 1-on-1 with Navid, or AI training for teams to roll it out across your team.
If you want to build your own AI OS, start with AI OS Lab and its free starter kit. If you're looking for the right AI tool, browse the AI Tools Library. And to learn from creators who've done it, check out the Creator Directory.
From his own experience. The books on bestbooks.now are ones he has read and reviewed, the courses on bestonline.courses are ones he has taken, and the 667+ tools in the AI Tools Library are reviewed and curated by him.
Every offer on aitool.deals is checked before it's listed.
Yes, they are. The AI Tools Library, bestbooks.now, Creator Directory and his other directories are free to browse.
On his free tools page: a character counter for each platform, plus the llms.txt, UTM, schema and QR code generators.
His retired courses and summits live in Navid Legacy, where past buyers keep their access. Each older product, like Virtual Summit Mastery, also has its own page on his products page.
An MCP server gives an AI agent access to an app, so it can read your data and take actions there for you. MCP stands for Model Context Protocol, the open standard that AI agents like Claude Code, Codex and Cursor use to connect to tools.
An MCP server lets your AI agent use an app's tools directly, in the chat. A CLI gives you the same tools as commands in your terminal, which is handy for scripts and automations. Navid builds each of his as both.
Yes, they are. All 24 are open source on GitHub under the MIT license, so you can use them and change them however you like.
Any AI agent that supports MCP, like Claude Code, Codex and Cursor. Each repo's README shows how to connect it.
Open the repo on GitHub and follow its README. It walks you through setting up your account, connecting your AI agent and checking that it worked.
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