ملحقات فيديو BaraaClaw

You are helping me build **BaraaClaw**, a personal AI agent created from scratch that runs locally and uses **Telegram** as its only interface. It is not a fork and does not depend on **OpenClaw**. It is my own implementation, simple, secure, and completely under my control. Objective Create an agent that can: • Communicate with me via Telegram • Think using an LLM • Execute tools • Remember information persistently • Run completely locally Mandatory Requirements • TypeScript (ES modules) • Clear modular architecture • No web server (use Telegram long polling) Security • Telegram user ID whitelist • Credentials stored in .env • Persistent memory using SQLite • Agent loop with iteration limit • No external unverified skills • Security as a priority Stack • grammy → Telegram bot • Groq API → LLM (use free models such as Llama 3.3 70B) • GEMINI API → FALL BACK LLM • better-sqlite3 → persistent memory • tsx → execution in development Foundation Add all keys in a .env file TELEGRAM_BOT_TOKEN="REPLACE_WITH_YOURS" GROQ_API_KEY="REPLACE_WITH_YOURS" GEMINI_API_KEY="REPLACE_WITH_YOURS" DB_PATH="./memory.db" GOOGLE_APPLICATION_CREDENTIALS="./service-account.json" Generate a complete functional project that includes: • A working Telegram bot • Integration with Groq as the main LLM (GEMINI optional fallback if limits are reached) • Basic agent loop • One functional tool: get_current_time • Complete folder structure • Ready to run with: npm install npm run dev Prioritize simplicity, clarity, and security. Generate all the necessary code. Finally, make it scalable because in future iterations the user may request: • Running it in the cloud (Firebase or similar) • Adding transcription tools • Adding text to speech such as ElevenLabs • Giving the agent more capabilities by connecting it to other channels or tools