mnemon-memory-agent

Long-term memory for AI agents on Jev. Keep raw records, judge them with a fast System 1 model and answer from under 4k tokens of context.

Mnemon is a long-term memory agent for LLM assistants. It keeps conversations as raw, dated records and does its work when a question arrives, dividing that work the way dual-process accounts divide thinking. A fast decision model (System 1) makes many small yes/no judgments about the records the searches return. An LLM (System 2) writes a few search queries, names what the reply needs and composes the answer. A background pass consolidates each record once into an index that points back to the records, so that questions about a whole conversation reach evidence their own searches miss.