Motörhead is an open-source project aimed at helping developers build and manage LLM-based chat applications. We built Motörhead in Rust and it currently handles user sessions and context windows with the following features:
-Short-term memory management: Motörhead maintains chat session histories for n users, keeping track of messages sent and received.
-Incremental summarization: When the message buffer reaches a maximum window size, Motörhead incrementally summarizes the content into a context key. This process involves taking an existing summary and the messages removed from the list, then generating a new summary.
-Semantic search with Redis: All messages are indexed in Redis alongside their respective embeddings, enabling efficient retrieval through semantic search when required.
If you’re a developer working with LLM-powered applications please feel free to submit a GH issue for Motörhead and thanks for giving this a read!
-Short-term memory management: Motörhead maintains chat session histories for n users, keeping track of messages sent and received.
-Incremental summarization: When the message buffer reaches a maximum window size, Motörhead incrementally summarizes the content into a context key. This process involves taking an existing summary and the messages removed from the list, then generating a new summary.
-Semantic search with Redis: All messages are indexed in Redis alongside their respective embeddings, enabling efficient retrieval through semantic search when required.
If you’re a developer working with LLM-powered applications please feel free to submit a GH issue for Motörhead and thanks for giving this a read!