Forty AI browser extensions, sorted into nine categories and tracked in a public GitHub repository - this kind of reference exists because finding what's actually available in this space is genuinely hard.
The awesome-ai-extensions repo (maintained by kklt92) follows the "awesome list" format, a convention in open-source communities where contributors maintain curated link collections around a specific topic. This one focuses entirely on AI-powered browser extensions, organized by use case rather than dumped into one undifferentiated list.
Browser extensions are often the quietest entry point for AI tools. They sit inside your existing workflow without requiring a tab switch or a new app install, which makes adoption friction much lower than standalone products. The downside is that extension quality varies enormously - many are abandoned within months, and some request permissions that go well beyond what they actually need to function.
A list like this doesn't solve the quality problem, but it addresses discovery. Before building something yourself or paying for a standalone subscription, it's worth knowing whether a browser extension already covers the use case. Forty tools across nine categories is a reasonable sample of what's out there as of early 2026.
The repo is new and its long-term usefulness depends entirely on whether contributors keep it maintained as the category keeps expanding. For now, it's a solid starting point for anyone auditing their browser extension stack or looking for AI tools that work inside existing apps rather than replacing them.