Open Source & Community

VGER for Good

We build in the open.

Open source is foundational to how we work. The tools, frameworks, and libraries that power modern software are built and maintained by communities who chose to share their work freely. We rely on that ecosystem every day, and we believe in giving back where we can and where it makes sense.

We care about privacy as a right, not a feature. We care about code that is auditable, not just trustworthy by reputation. The projects here reflect that: tools we built, believed in, and chose to share.

  • Feed Focuser

    Feed Focuser

    A browser extension that collapses LinkedIn ads, suggested content, brand posts, and custom keyword matches into labeled strips. Local-only, privacy-first, MIT licensed.

    View project →

  • Lens — AI Image Detector

    Lens — AI Image Detector

    Open source browser extension that detects AI-generated images using URL patterns, C2PA metadata, pixel statistics, and frequency watermarks.

    View project →

  • apollo-io-mcp

    apollo-io-mcp

    MCP server and CLI that gives AI agents and sales teams direct access to Apollo.io B2B data — people search, company enrichment, job postings, and news.

    View project →

  • undetected-browser-tool

    undetected-browser-tool

    LangChain tool that lets AI agents fetch web pages protected by Cloudflare and similar bot detection systems.

    View project →

  • fs-encrypted

    fs-encrypted

    PyFilesystem2-compatible encrypted file system for Python. Drop-in AES encryption for PII, PHI, and sensitive data.

    View project →

  • potxkit

    potxkit

    Python library and MCP server for PowerPoint template management — audit and fix formatting drift across slide masters and layouts.

    View project →

  • Vger Sync for Notion

    Vger Sync for Notion

    WordPress plugin that syncs Notion pages and databases to WordPress — with automatic navigation menus and embedded database views.

    View project →

  • prompt_protect

    prompt_protect

    Lightweight on-device scikit-learn model to detect prompt injection attempts before they reach your LLM. CPU-only, 102KB, MIT licensed.

    View project →

Work with The VGER Group

AI, data, and software engineering expertise.