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.

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.

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

Managing Memory in LLMs with LangMem.

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

Stop AI agents from confidently using stale facts. MemGuard validates memories in Mem0, Zep, Letta & LangMem against reality — trust scores, quarantine, tamper-proof audit trail, MCP tools. Like Datadog for agent memory.

Langchain Tutorial

Vendor-neutral benchmark of AI agent memory tools (Mem0, LangMem, Cognee, Graphiti) against oracle, context-window and file-search baselines on LongMemEval, on free models. Companion to the Datapace article on choosing an agent memory tool.

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

Open testbench for agent-memory evaluation. Inspect historical evidence locally with no API key and no Docker.

Human-in-the-loop insurance claims copilot — LangChain agents, LangMem, Chroma RAG, FastAPI, and Next.js for FNOL triage and adjuster-assisted coverage recommendations.

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

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

LangGraph BaseStore backed by Vertex AI Agent Engine Memory Bank

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

Typed semantic conflict resolution for multi-agent memory — pluggable merge-policy library for LangMem, Mem0, Letta, Cognee. Companion to agent-merge-bench.

ToolSlack: Exploiting Tool Execution Windows for Efficient LLM Agent Serving

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.