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Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation
Cap is a lightweight, modern open-source CAPTCHA alternative using SHA-256 proof-of-work
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
Simple tool for converting PDF to text using OCR
OnnxTR a docTR (Document Text Recognition) library Onnx pipeline wrapper - for seamless, high-performing & accessible OCR
Nerdlog: fast, remote-first, multi-host TUI log viewer with timeline histogram and no central server
TypeScript client for Meilisearch
Docker service that converts SVG files to images using the chrome browser.
DreamO: A Unified Framework for Image Customization
For three days, take part in the creation of open-source apps aimed at strengthening European digital sovereignty.
local RAG app using local servers for search and local server for pleias-RAG model
Typescript tool to translate any video with AI. Voice cloning, subtitles and LipSync. 35 languages available. Used by https://www.voicecheap.ai/.
The world's most flexible commerce platform.
Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
Visual testing tool for MCP servers
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Convertisseur CalDAV → ICS sécurisé et sans stockage
Smart SSH, HTTPS, MySQL and Postgres bastion/PAM that doesn't need additional client-side software
Deep research agent to help you find the best GitHub repositories 🕵️!
Manage multiple AI agents like Claude Code, Aider, Codex, OpenCode, and Amp.
Add React components to your AI assistant, copilot, or agent.
📄 A curated list of awesome .cursorrules files
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion