OpenClaw Dreaming Guide 2026: Background Memory Consolidation for AI Agents

OpenClaw Dreaming Guide 2026: Background Memory Consolidation for AI Agents 🎯 Core Takeaways (TL;DR) Dreaming is OpenClaw's automatic three-phase background process that turns short-term memory signals into durable long-term knowledge It runs in three stages: Light Sleep (ingest & stage), REM Sleep (reflect & extract patterns), and Deep Sleep (promote to MEMORY.md) Only entries that pass all three threshold gates — minScore 0.8, minRecallCount 3, minUniqueQueries 3 — get promoted Six weighted signals score every candidate: Relevance (0.30), Frequency (0.24), Query diversity (0.15), Recency (0.15), Consolidation (0.10), Conceptual richness (0.06) Dreaming is opt-in and disabled by default — enable with /dreaming on or via config Table of Contents Why Dreaming Exists How It Works: The Three Phases Deep Ranking Signals Explained Threshold Gates: What Gets Promoted The Dream Diary: Human-Readable Output Where Things Live on Disk Getting Started Configuration Reference Tuning Guide