Pydantic AI Persistent Memory: Add It in 5 Lines of Code
If you have built an AI agent with Pydantic AI, you already know it handles typed outputs, dependency injection, and async workflows well. But there is one thing it does not do: remember anything between runs. Every call to agent.run() starts with a blank slate. Your agent has no idea what the user said yesterday, what preferences they shared, or what it already researched.
