Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.

✨ mem0 MCP Server: A memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.

Ultimate memory layer for local LLM's ~ mitigate limitations of Context Window.

Example scripts for Nvidia AgentIQ for configuring Mem0 for personalized memory with locally hosted AI servers for development purposes.

Mem0Chat is an application showcasing an LLM-powered chat with a model-agnostic persistent memory layer powered by mem0. It enables context-aware conversations, using mem0's memory management to retain and utilize key memories across sessions/chats for a personalized, efficient user experience.

Official Python SDK for RecallrAI – a revolutionary contextual memory system that enables AI assistants to form meaningful connections between conversations, just like human memory.

An AI client based on wpf and C#

Official Node.js SDK for RecallrAI - Revolutionary contextual memory system that enables AI assistants to form meaningful connections between conversations, just like human memory."

🧠 Synapse - Supercharge your AI coding assistants with memory, context, MCP tools, and intelligent routing. Works with Cline, Roo, Cursor, and any OpenAI-compatible tool. Just change the API endpoint and get superpowers! ✨

An intelligent healthcare assistant with memory capabilities, built using FastAPI, Chainlit, and mem0. This bot can remember patient information across conversations, providing personalized healthcare support.

MemoryVault-LLM - This Streamlit application functions as an AI-powered chatbot, utilizing OpenAI's GPT-4o model with a memory retention feature

RegRadar watches the worlds regulators so you dont have to.

An interactive AI agent system demonstrating how to store, retrieve, and reason with long-term memory using Mem0, Agno agents, and GPT-2 in a simple command-line interface.

Demonstrates personalized AI agent with long-term memory to deliver context-aware support

FastAPI-based RESTful API layer for integrating Mem0 agents into applications.

A lightweight Agents library with RAG, function calling, json mode, telemetry and multi-layer memory.

MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!