It's there any memory tool to keep track

Every chat engine/agent uses a chat memory buffer under the hood. It's our only memory type for now though

Okay when I tried with chat engine , from the 3rd question it is forgetting the entire context . Can we use llamaindex and langchain both and construct a conversational chatbot with memory?

The memory buffer is limited by context window size too. And depending on the chat engine you used, it might not have a ton of room

You can use llama-index in langchain if you want, just with custom tools and whatnot

Could you please point to good resources where we can use both libraries and create a conversational chat with memory by using local llms.

I don't really have any resources on using both, have to do some learning to figure it out 🙂

Okay