A comprehensive, self-hosted AI assistant with Telegram integration, command-line interface, and advanced features like web search, media processing, and Google services integration.
Intelligent conversations with Ollama models
Discover the comprehensive AI assistant built with modern technologies
MeesteR is a sophisticated AI assistant designed for maximum performance and reliability. It features persistent memory, vector search, media processing, and seamless integration with various services including Google Cloud and Telegram.
The project includes multiple versions, from complete implementations to legacy archives, showcasing the evolution of AI assistant technology.
AI Integrations
Project Versions
Lines of Code
class MeesteR:
def __init__(self):
self.memory = "768D Vectors"
self.integrations = ["Telegram", "CLI", "Web Search"]
self.status = "Operational"
Powerful capabilities that make MeesteR stand out
Uses advanced Ollama models for intelligent conversations and context-aware responses.
PostgreSQL + Weaviate integration for long-term memory and semantic vector search.
SearXNG-powered web search with localized results and intelligent synthesis.
Advanced image and voice processing with Google Cloud Vision and Speech-to-Text.
Automatic learning from documents with entity extraction and knowledge graph building.
User authentication, command validation, and secure environment handling.
Explore the evolution and various implementations of MeesteR
Full-featured implementation with all integrations including Google services, Docker setup, and comprehensive documentation.
Archive of previous versions showcasing the development progress and feature additions over time.
Optimized scripts and configurations for production deployment with monitoring and logging.
Comprehensive guides, setup instructions, and integration documentation for all features.
Command-line interface and Telegram bot implementation with full feature parity.
Modern React-based web interface with camera, voice, and collaborative features.
Modern tech stack powering the MeesteR ecosystem
Interested in MeesteR or have questions about the implementation?