# Chrome Extensions Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/chrome-extensions
> Markdown URL: https://aitinkerers.org/technologies/chrome-extensions.md
> Technology record last updated: 2026-02-25T06:02:31Z
> Generated: 2026-09-21T11:43:58Z

Build cross-platform browser tools using HTML, CSS, and JavaScript to reach over 3 billion Chrome users worldwide.

Developers build Chrome extensions using standard web stacks (HTML, CSS, and JavaScript) to modify browser behavior and UI. These tools run on Manifest V3: the current standard emphasizing security and performance through service workers. You can integrate complex features like content filtering (uBlock Origin), password management (1Password), or productivity tracking (Toggl). Distribution happens via the Chrome Web Store, providing instant access to a global install base. The API surface is broad: use chrome.tabs to manage navigation or chrome.storage for local data persistence.

- Official technology site: https://developer.chrome.com/docs/extensions
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [WebMCP](https://seattle.aitinkerers.org/talks/rsvp_pxuuiqmsfZE)

Now that WebMCP is part of chrome, i'd like to talk more about it in depth. I've given a few talks about WebMCP adjacent stuff, but I'd like to talk about it directly.

- Event context: AI Tinkerers Seattle Meetup: Dev Tools Track — March 9th, 2026 — 2026-03-10 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_pxuuiqmsfZE

### [SQL-First AI Memory: Building Developer Tools with WebMCP and Browser-Native Databases](https://seattle.aitinkerers.org/talks/rsvp_sbvhzQ05BHQ)

Embeddings and semantic search were the first tools of choice to augment AIs with memory and help reduce hallucinations. Nowadays, however, most SOTA memory systems do not use embeddings or semantic search at all and instead let the AI explore a knowledge base with SQL. I'll demonstrate a live developer workflow where an AI agent uses WebMCP tools to query a PostgreSQL database running entirely in the browser (PG-Lite + WASM). You'll see the AI's SQL reasoning process in real-time as it explores project context, relationships between entities, and builds up understanding through structured queries rather than vector similarity.

- Event context: AI Tinkerers Seattle Meetup: Dev Tools Track — October 6, 2025 — 2025-10-07 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_sbvhzQ05BHQ

### [Email Prediction Model](https://dubai.aitinkerers.org/talks/rsvp_26RJ2ynoCYI)

Fed and trained on my personal data to predict if I will open and read an email. This way I can prioritize emails that I think are important while ignoring the rest and staying productive with my day. Displays the predictions onto the UI of my gmail account.

- Event context: AI Tinkerers - Dubai Meetup #2 (October) — 2024-10-05 — Dubai
- Public talk page: https://dubai.aitinkerers.org/talks/rsvp_26RJ2ynoCYI

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