How I Built Persistent Memory for AI Agents in Python

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The Problem Every LLM conversation starts from scratch. Your AI agent forgets its users, its decisions, and its context the moment the session ends. Redis expires. JSON files don't scale. You end up building custom persistence for every project. The 3-Line Solution from tioli import TiOLi client = TiOLi.connect("MyAgent", "LangChain") client.memory_write("user_prefs", {"theme": "dark", "language": "en"}) That's it. Your agent now has persistent memory that: Sur

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