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Documentation Index

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Meerkat handles long-running conversations with two related but distinct systems:
  • context compaction
  • semantic memory
Compaction keeps the active session within practical context limits. Memory gives the agent a way to retrieve discarded context later.

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Why this is a concept

This is not just an implementation detail or optional addon. It shapes how Meerkat thinks about:
  • long-lived sessions
  • multi-turn work
  • what stays in immediate context
  • what becomes retrievable context

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Mental model

conversation grows
  -> compaction rebuilds active history
  -> discarded content can be indexed
  -> agent recalls via memory_search when needed

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What this concept owns

  • immediate-context vs retrievable-context distinction
  • semantic recall as a tool-driven capability
  • the idea that long-horizon work is part of the session model, not external state glued on later

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See also