Thanks for the feedback! - Right now, we use a combination of RAG and chain of thought for storing memories. At different time intervals, we'll create memories

Thanks for the feedback! - Right now, we use a combination of RAG and chain of thought for storing memories. At different time intervals, we'll create memories at different levels of granularity. For example, at the end of every conversation, we'll embed some vectors based on specific commands from the user. At the end of each day, we'll have the LLM reflect on key questions related to a user's routine. And every few days, it'll reflect on the user's short/long term goals. This has worked to some degree, but we're still in the very early stages of figuring out how to do long-term memory for an assistant. - Scaling the number of tools is definitely a struggle since we want to make our integrations as thorough as we can. It takes time, so we just try to keep growing the list consistently. We have an internal goal of adding at least one new major integration every month. - Love the idea of bringing your own API keys/endpoints. We've gotten this feedback before, so we'll seriously consider it in our next few sprints!