Agentic Long-Term Memory
Empower AI chatbots with sophisticated long-term memory, comprehensive Notion workspace integration, and standardized tool communication via Model Context Protocol.
About
Agentic Long-Term Memory is a sophisticated AI agent system that revolutionizes chatbot capabilities by integrating robust long-term memory. It features semantic, episodic, and procedural memory components, leveraging Vector and Graph databases for persistent knowledge. The system boasts complete Notion workspace integration, offering over 15 functions for smart content management and analytics. Furthermore, it implements the Model Context Protocol (MCP), enabling scalable and production-ready tool integration with advanced function chaining and comprehensive error handling, making it ideal for building intelligent, context-aware AI applications.
Key Features
- Production-Ready Architecture: Features scalable design, robust error handling, and fallback systems for reliable deployment.
- Complete Notion workspace integration with 15+ functions for content management, analytics, and bulk operations.
- MCP (Model Context Protocol) Implementation: Standardized tool integration with HTTP/stdio transport, automatic tool discovery, and comprehensive error handling.
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- Advanced Agentic Memory Systems: Implements semantic, episodic, and procedural memory using Vector DB (ChromaDB) and SQL DB (SQLite).
- Smart Function Chaining: Enables automatic handling of complex, multi-step workflows through intelligent function selection.
Use Cases
- Building scalable AI agents with robust tool integration and intelligent context management for complex tasks.
- Developing AI chatbots capable of retaining and utilizing information across extended conversations.
- Automating and managing Notion workspaces through natural language AI commands and advanced content manipulation.
