talk-to-girlfriend-ai

Why we included this project

This one is a fun, honest example of wiring an LLM agent into a real messaging platform. A TypeScript CLI agent sits behind a Python FastAPI bridge that talks to Telegram, so Claude Sonnet can read conversations, send replies, and manage chats through natural language. What makes it worth a look for anyone building Telegram bots or experimenting with Model Context Protocol integrations is the retrieval setup: instead of improvising pickup lines and conversation tips, the model pulls them from a small curated corpus of 500+ lines and dating guides indexed with the Nia service. The codebase keeps the agent, the platform bridge, and the retrieval backend cleanly separated, which makes the architecture easy to follow. It is a demo and a learning resource rather than hardened production software, and the repo is refreshingly upfront about that, which is exactly what makes it a useful reference for assembling these pieces yourself.