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Lantern introduces a lightweight memory layer that archives conversation turns and retrieves relevant details after compaction, recovering 78.3% of lost facts with zero LLM calls and outperforming MemGPT-based methods.
A user shares a custom Plugin SDK hook that gradually compresses older turns while keeping recent ones raw to prevent context window exhaustion in long OpenClaw sessions, reducing re-sent context by 80%.