AI Tools & Discussions in Agent Memory

Memory layers, frameworks, and services that enable AI agents to store, recall, and manage information across sessions. These tools provide persistent, semantic, and contextual memory for agents, supporting personalization, long-term context retention, graph-based relationships, and hybrid RAG + memory workflows.

Agent Memory Tools (19)

DeltaMemory

Featured

Persistent Memory Layer for AI Agents

Agent Memory Agent Frameworks LLM Orchestration

TIMPs

AI Agent With Persistent Memory

Agent Memory AI Coding Asst.Local Inference

Mengram

Open source AI memory API with human-like architecture featuring semantic, episodic, and procedural memory types for personalized AI experiences.

Agent Memory AI Dev Libraries MCP Servers

Claude Mem

Featured

A memory management system for Claude AI that enables persistent context and conversation history across sessions.

Agent Memory AI Dev Libraries Context Engineering

Graphiti

A Python library for building and querying dynamic, temporally-aware knowledge graphs for AI agents and RAG applications.

RAG Agent Memory AI Dev Libraries

Rowboat

AI coworker that turns emails and meeting notes into a local, linked knowledge graph to help you get work done.

Knowledge Mgmt Productivity Ext.Agent Memory

Claude Context

MCP server that provides persistent memory and context management for Claude AI conversations using Milvus vector database.

MCP Servers Agent Memory Vector Databases

MemU

An agentic memory framework for LLMs and AI agents with persistent, self-evolving memory for proactive 24/7 autonomous agents.

Agent Memory Agent Frameworks AI Infrastructure

Maximem Vity

Featured

Cross-platform AI memory plugin that syncs context across OpenClaw, ChatGPT, Claude, and Gemini so you never re-explain yourself.

Agent Memory LLM Extensions Context Engineering

Raindrop by LiquidMetal AI

AI Native Backend Runtime Platform

AI Infrastructure RAG Agent Memory