Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.

MemOS (Preview) | Intelligence Begins with Memory

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems

Bringing the hell of pointers to Python.

Redis memory profiler to find the RAM bottlenecks throw scaning key space in real time and aggregate RAM usage statistic by patterns.

An Innovative Agent Framework Driven by KG Engine

An AI memory layer with short- and long-term storage, semantic clustering, and optional memory decay for context-aware applications.

ReMe: Memory Management Framework for Agents - Remember Me, Refine Me.

Experimental ground for optimizing memory of pytorch models

A list of AI memory projects

Open-source calculator for LLM system requirements.

Universal MCP Server powering AI agent collaboration. MARM enables multiple AI agents to share context, coordinate tasks, and build on each other's work through intelligent memory architecture. Built with the MARM protocol integrated directly into the MCP server, delivering structured reasoning and enhanced AI capabilities, not just tools.

ML model training for edge devices

Poireau: a sampling allocation debugger

Tool for automatically generating MMU and translation table setup code, whether to drag and drop into your own bare metal arm64 projects or to assist you in your own learning.

Android Memory Tools written in python for RAM data reading and writing process of android, linux and windows os's.

An AI assistant that remembers and sets goals

Reproducible Structured Memory for LLMs

Demo code exploring Python's memory models and collection algorithms from the Talk Python Training course.