A stealthy and modular Windows loader designed to bypass modern EDR solutions using Module Stomping, Stack Duplication, and Advanced Sleep Obfuscation.
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Updated
Jul 26, 2026 - C
A stealthy and modular Windows loader designed to bypass modern EDR solutions using Module Stomping, Stack Duplication, and Advanced Sleep Obfuscation.
Анализатор конкурентов на основе ИИ-технологий
Interactive Python CLI for JSON prompt templates via ProxyAPI — summary, code structure, task planning, with test runner and DOCX reports.
A modern online course management platform with complete authentication system and video integration.
Generate Telegram channel posts and articles via a 4-step LangChain pipeline (analysis → tools → generate → review) over ProxyAPI.
Multimodal video generation app with shared backend, CLI, Telegram bot, and Flask web interface powered by ProxyAPI.
Telegram chat bot with in-memory dialogue context: pyTelegramBotAPI, OpenAI-compatible API (OpenAI, ProxyAPI, GenAPI), /reset, logging and LLM parameter experiments.
🤖 Telegram-бот с AI через ProxyAPI. Контекст диалога, статистика токенов, команды /stats и /clear
Python chat agent with dialogue memory: Claude Sonnet thinking mode and OpenAI models via ProxyAPI
Streamlit app for AI lead scoring + historical win/loss analysis (rules, segmentation, logistic regression) with ProxyAPI LLM explanations.
DeskMate — мультимодальный Telegram-ассистент NeiroBridge: GPT-4o, RAG, Whisper, Vision, gpt-image-1. Python, ChromaDB, ProxyAPI, Cloudflare Worker.
AI-анализатор конкурентов для HR / EdTech: текст, изображения, сайты, FastAPI, Selenium, Desktop
Веб-приложение и Telegram-бот для генерации AI-видео через proxyapi.ru. Модели: Sora 2, Veo 3. Flask + Python. Без VPN, оплата в рублях.
Generate runnable aiogram 3 Telegram bots from a text brief via a 5-step LangChain pipeline (analysis → tools → structure → code → review) over ProxyAPI.
AI-powered competitor intelligence dashboard for analyzing websites, texts, images, and market positioning.
AI-powered Telegram assistant with RAG, semantic search, FAISS vector storage and image understanding. Demonstrates how LLMs answer using external knowledge instead of memorization.
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