WebMind AI
Open-source Chrome extension with in-browser RAG over web pages.
About
WebMind AI is an open-source Chrome extension that scrapes page content and runs a client-side RAG pipeline — semantic chunking with TF-IDF indexing — to ground summaries and Q&A in the actual page.
It offers one-click actions like explain, key points, and fact extraction, plus a multi-turn chat over page context, powered by your Gemini API key.
Being a community project, setup is more hands-on than commercial alternatives, but the code is auditable and the RAG approach reduces hallucinations.
What it can do
- Clean DOM content scraping
- In-browser RAG (chunking + TF-IDF retrieval)
- One-click summary and key-point actions
- Multi-turn Q&A over page context
- Gemini 1.5/2.0 Flash support
- Dark mode UI
Setup
- Clone the repository from GitHub.
- Open chrome://extensions and enable Developer mode.
- Click 'Load unpacked' and select the project folder.
- Add your Gemini API key in the extension options.
- Open any article and use quick actions or chat.
Prerequisites
Chrome or Chromium browser; a Google Gemini API key; Node.js to build (see repo README).
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: GitHub repo README verified; open source — code auditable; client-side RAG design confirmed; BYOK Gemini key required. License: Open source (see repo)..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 3.0/10
- Maintenance · recency, releases, issue load
- 5.0/10
- Openness · license + docs
- 8.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · GitHub repo README verified
- · open source — code auditable
- · client-side RAG design confirmed
- · BYOK Gemini key required
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.