Memory Agents: AI with Context Retention

Explore 12 memory agent projects that retain context across sessions, from personalized blog writing to brand reputation monitoring and customer support.

The Memory Agents category includes 12 projects that demonstrate how to build agents with advanced memory capabilities. These agents retain context across sessions, track preferences, and personalize responses over time, using memory systems like Memori, LangGraph, and Agno.

Memory Agent Projects

Project	Memory System	Description
Agno Memory Agent	Agno	Persistent memory integration with Agno-based agents
arXiv Researcher with Memori	Memori	OpenAI Agents-based research assistant using GibsonAI Memori
AWS Strands with Memori	Memori	AWS Strands agent enhanced with Memori memory fabric
Blog Writing Agent	Memori	Personalized blog writing agent that remembers your writing style
Social Media Agent	Memori	Social media automation agent with memory for brand voice
Job Search Agent	Memori	Job search agent with preference tracking over time
Brand Reputation Monitor	Memori	Brand reputation monitoring with news analysis and sentiment tracking
Product Launch Agent	Memori	Competitive intelligence tool for analyzing competitor launches
AI Consultant Agent	Memori v3, ExaAI	Consulting agent using Memori v3 for long-term memory and ExaAI for research
Customer Support Voice Agent	Memori v3, Firecrawl	Voice-enabled support assistant with Memori v3 and knowledge base management
YouTube Trend Agent	Memori, Agno, Exa	YouTube channel analysis agent for trend analysis and video ideas
Study Coach Agent	Memori v3, LangGraph	AI study coach with Memori v3 and LangGraph for multi-step verification

Getting Started with Memory Agents

1. Choose a memory project

   cd memory_agents/<project_name>
   
2. Set up your API keys

   cp .env.example .env
   

   Many memory agents require a Memori API key and an LLM provider key (e.g., OpenAI, Nebius).

3. Install and run

   pip install -r requirements.txt
   python main.py
   

Memory agents often write data to a persistent store. Check the README for information on where memory data is stored and how you can inspect or reset it.