MemoriPy

Giving a chatbot or AI agent a memory that lasts beyond a single conversation is the job MemoriPy takes on.

MemoriPy is an open-source AI memory layer for developers who build context-aware applications on top of large language models.

It stores past interactions and pulls back only the relevant ones when a new query arrives, so users stop repeating themselves and your LLM calls carry less unnecessary context.

MemoriPy organizes what it stores through concept clustering and memory decay, which means older or less useful items fade while related ideas group together.

That approach is meant to improve accuracy over time.

It plugs into popular platforms, though you need development knowledge to implement it, and you may have to fine-tune it for your own use case.

Results depend heavily on the quality of your data and how well you set it up.

Think of it as a building block for AI developers, not a finished assistant.