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Releases: frontiertower/towerbot

Release v1.0.0: TowerBot - AI-Powered Telegram Community Assistant

23 Jul 03:47
@0xtotaylor 0xtotaylor
v1.0.0
a7fc48d

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Release v1.0.0: TowerBot - AI-Powered Telegram Community Assistant Pre-release
Pre-release

🎉 Initial Release

TowerBot v1.0.0 marks the first stable release of an advanced AI-powered Telegram assistant designed for community management and engagement. This comprehensive platform combines modern AI capabilities with robust community features.

✨ Key Features

🤖 AI-Powered Conversational Agent

  • Dynamic agent system with specialized Ask, Connect, and Memory agents
  • Azure OpenAI integration with LangChain, LangGraph, and LangMem
  • Persistent memory and context-aware conversations
  • 91 comprehensive unit tests ensuring reliability

🗣️ Telegram Integration

  • Full webhook support for real-time message processing
  • Commands: /ask for Q&A, /connect for community connections
  • Direct message support with memory agent
  • Group message processing for knowledge graph building

🧠 Advanced Knowledge Management

  • Neo4j temporal knowledge graph powered by Graphiti
  • Dynamic ontology system with auto-generated enums
  • Vector and semantic search capabilities
  • Community analytics and relationship tracking

🔐 Multi-Layer Security

  • Three-tier authentication system
  • Soulink social proximity authentication
  • BerlinHouse API integration
  • Automatic group management and validation

🏗️ Production-Ready Architecture

  • FastAPI backend with async/await support
  • PostgreSQL with connection pooling
  • Docker containerization
  • Comprehensive logging and health monitoring
  • LangSmith observability integration

📊 Community Features

  • Building and amenity information system
  • Calendar integration with Luma API
  • Event tracking and community analytics
  • Scheduled background processing

🛠️ Technical Stack

  • Python 3.12+ with modern async/await patterns
  • FastAPI for high-performance API backend
  • Neo4j + Graphiti for temporal knowledge graphs
  • PostgreSQL for vector storage and memory
  • Azure OpenAI for advanced language model capabilities
  • LangChain ecosystem (LangChain, LangGraph, LangMem, LangSmith)
  • Comprehensive testing with pytest and 91 unit tests

📚 Documentation & Developer Experience

  • Extensive README with quickstart guide and architecture overview
  • Comprehensive API documentation
  • Docker development environment
  • Structured logging throughout the application
  • Environment-based configuration with validation
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