vectorize-io/hindsight ? reverse-engineered prompt

Build me a memory system for AI agents that helps them learn and get smarter over time, not just remember past conversations. The goal is to create agents that can learn from feedback and user interactions to improve their performance on tasks. For example, it should be able to remember a fact like "Alice works at Google" and use that context in a future conversation.

The system should be built in Python and run in a Docker container. It needs to have a simple API that lets my agents retain information to store it and recall it later to answer questions. Please also include client libraries for both Python and Node.js to make it easy to connect to the memory server. One of the key features I want is a simple "LLM wrapper" that lets an existing agent use this memory system with just a couple of lines of code.