Popular GitHub Repositories for Mem Reduct

A-MEM: Agentic Memory for LLM Agents

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

Agentic AI solutions build on AWS, using latest Agentic Frameworks.

✨ mem0 MCP Server: A modern memory system for AI applications with flexible provider support (OpenAI, Ollama, etc.) and MCP protocol integration. Enables long-term memory for AI agents through a simple API or as a drop-in MCP server.

一个拥有长期记忆, 表情动作, 语音对话/打断/声纹识别, FunctionCall, 多模型支持的AI Waifu客户端.

Agent Memory Playground: AI Agent Memory Design & Optimization Techniques

This repository contains comprehensive documentation for implementing and optimizing the A-MEM (Associative Memory) system utilizing both vector and graph storage for dynamic memory organization.

Bizy is the first AI orchestration system that both engineers and business stakeholders can directly configure and understand.

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

A comprehensive toolkit for building advanced, AI-driven conversational voice agents with a focus on Retrieval-Augmented Generation (RAG). This repository provides a flexible and powerful platform for creating intelligent voice assistants that can interact with users in real-time and provide context-aware responses based on a knowledge base of your

AI-powered DevOps assistant that generates production-grade Dockerfiles, CI/CD workflows, environment files, and deployment instructions from any GitHub repository.

This is the Demo APP for the Final Year Project of Pranav Krishnakumar. It is a Meal Planner using Agentic RAG powered by Qwen2.5 Coder 32B, Qdrant Vector Database, Mem0 Chat Memory and Smolagents library for the AI Agent

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.

A sophisticated AI-powered study companion chatbot that leverages advanced AI capabilities with vector store memory retention and Model Context Protocol (MCP) integration. This project combines modern technologies for both backend and frontend to deliver a seamless learning experience with both text and voice chat capabilities.

A scalable AI chatbot platform built with FastAPI and LangGraph, featuring multi-agent orchestration, multi-tenant vector storage, cross-chat memory, and voice call capabilities through LiveKit integration.

A sophisticated healthcare chatbot that leverages advanced AI capabilities with memory retention to provide personalized medical information and assistance. This project combines modern technologies for both backend and frontend to deliver a seamless user experience.

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

C code designed to create a container with specified cpu, mem usage.

Modify run:ai and other FOSS projects code for use with PCIe card-based AI accelerators for both inference and training