Input
Executionexec_in
Trigger
AI/Memory
Compresses old memory observations into a summary using an LLM, then replaces them in the store. Runs the embedding model to store the summary vector.
Scores range from 0 to 10. Higher values mean more impact, exposure, or operational weight.
Trigger
MemoryConfig from Create Memory Config node
Array of memory records to compress (typically older observations from Search Memory)
LLM model Bit for generating the summary
Fires when compression completes
The compressed summary text
Number of observations that were compressed
Token usage and model statistics from the compaction LLM call