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.

ChatGPT at home! A better alternative to commercial smart home assistants, built on the Raspberry Pi using LiteLLM and LangGraph.

MemPrivacy is a privacy-preserving personalized memory management framework for edge-cloud agents.

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

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

AI Agent Memory Validation Platform — continuously verify whether facts stored in AI agent memory systems (Mem0, Zep, Letta, LangMem) are still true. Like Datadog for agent memory.

Langchain Tutorial

Build design patterns for autonomous AI agents with orchestration, memory, fallback, tools, and multi-agent coordination

Production-grade multi-tenant AI Agent memory backend built with FastAPI, LangGraph, LangMem, Redis, Qdrant, and PostgreSQL.

🌐 Empower your AI experience with Graph-AI-Agent, a tool for synchronized knowledge management and interactive multi-agent collaboration.

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

LangGraph BaseStore backed by Vertex AI Agent Engine Memory Bank

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.

The Biosphere was not built because we could. It was built because we had to.

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

Certified Memory Governance Layer for long-running AI agents: strict receipts, append-only ledgers, authority gates, retrieval filtering, telemetry replay, and safe adapters for Mem0, Graphiti, LangMem, and LangGraph.

A shareable Hermes skill for upgrading the bundled LangMem provider into a structured, provenance-aware, locally testable memory architecture.

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