Universal memory layer for AI Agents
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
Build, evaluate, and integrate long-term memory for self-evolving agents.
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
AI on the way. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
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
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation
A list of AI memory projects
An AI memory layer with short- and long-term storage, semantic clustering, and optional memory decay for context-aware applications.
This is the public release of MIRA OS. Discrete memories decay through momentum loss, tools auto-configure when dropped into tools/ folder, and the system prompt composes from modular trinkets. I would like to think I've made an elegant brain-in-box. You load it and send cURL requests - it talks back, learns, and uses tools. Contributions welcome.
Experimental ground for optimizing memory of pytorch models
Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Built with MARM protocol for structured reasoning that evolves with your work.
Open-source calculator for LLM system requirements.
ML model training for edge devices
Poireau: a sampling allocation debugger
A memory layer for AI Agents
Background memory agent for coding workflows. Automatically extracts reusable project memory from coding-agent sessions.
Add a description, image, and links to the memory-management topic page so that developers can more easily learn about it.
To associate your repository with the memory-management topic, visit your repo's landing page and select "manage topics."