CONTINUUM vs kaeru
CONTINUUM: CONTINUUM provides verifiable semantic recovery for long-running AI agents, preventing work duplication and token waste during crashes. It achieves this through compact semantic checkpoints, independent environment revalidation, and a provenance-aware state tracking system.; kaeru: Kaeru is a local-first, cross-agent cognitive engine for LLM agents, providing a typed property graph and a recollection layer for long-term memory. It enables multi-session and multi-agent continuity, allowing agents to maintain full context, follow provenance, and build on shared knowledge over time.
TL;DR
Resuming long-running AI agent tasks after crashes without replaying work, saving tokens and preserving decisions.
An agent needs to recall its thought process and project context from a previous session.
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