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Local LLM Phishing Guard

Local LLM Phishing Guard is an open-source Chrome extension that evaluates web pages for phishing risk using a locally run LLM. It is built for privacy-conscious users, security teams, and developers who want AI-assisted browser protection without sending page contents to a cloud classifier. The extension checks multiple signals on new or manually selected pages, then flags possible phishing behavior. That makes it useful as a learning project, a personal browsing safeguard, or a starting point for internal security tooling. It is notable now because it launched on Show HN as an applied local-LLM security utility, showing how smaller models can run near the user for sensitive detection tasks instead of relying only on remote APIs.

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codemap is an MIT-licensed project brain for AI coding tools that gives LLMs instant architectural context from your codebase without burning tokens. It generates a fast tree/context view, dependency flow, dependency blast-radius analysis, and a layered handoff format for cross-agent continuation, then exposes everything through a JSON context bundle and an MCP server compatible with Claude Code and Codex. A built-in Codex plugin and community skill registry make it easy to install and share. Developers use codemap to onboard agents to large repos in seconds, keep session continuity across handoffs, and scope the impact of a change before running it.

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FileForge Finder is an AI-powered local file search utility that optimizes search results for developer workflows. It uses natural language processing to understand query intent and prioritize relevant files, code snippets, and documentation. The tool integrates with popular IDEs and terminals to provide instant, context-aware file retrieval, reducing time spent navigating complex project structures. It supports multiple file formats and offers advanced filtering by content type, modification date, and relevance.

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