Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

Master Thesis Project about Agent and Multi-Agent Teaching Systems combined with Personal Memory

Managing Memory in LLMs with LangMem.

Multi-agent AI system for real estate property search and appointment booking using LangGraph, OpenAI GPT-5, and Supabase

Long-term Agentic Memory with LangGraph | Deeplearning.ai

twagents is a framework for building and comparing language model agents with different memory architectures in interactive, text-based environments. It is designed to work with TextWorld and focuses on exploring how working, episodic, and semantic memory influence agent behavior, recall, and decision-making.

🎉 AI-powered agent that detects upcoming festivals and sends personalized, culturally aware greetings using NLP, calendar logic, and CrewAI automation.

An Advanced AI Agent that can manage GitHub, LinkedIn, Gmail and Google Calendar. It also has long-term memory.

Langchain Tutorial

🧠 Manage AI context seamlessly with the MCP server for storing and retrieving semantic memory across sessions. Enhance your AI's knowledge retention.