langmem

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

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

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.

Langchain Tutorial

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

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