memory

Universal memory layer for AI Agents

The best-benchmarked open-source AI memory system. And it's free.

Hindsight: Agent Memory That Learns

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Memray is a memory profiler for Python

Personal memory across agents

Agent S: an open agentic framework that uses computers like a human

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Cross-platform lib for process and system monitoring in Python

The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/

An advanced memory forensics framework

OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density

Memory library for building stateful agents

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

MS-Agent: a lightweight framework to empower agentic execution of complex tasks

Volatility 3.0 development

SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

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.

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

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents