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.

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.

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

Langchain Tutorial

Long-term Agentic Memory with LangGraph | Deeplearning.ai