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Browse Development OpenClaw playbooks

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OpenClaw 4.5 introduces a scheduled 'dreaming' feature to automatically prune, organize, and consoli
OpenClaw JSON configuration enabling scheduled memory dreaming for automated agent data pruning and consolidation

OpenClaw 4.5 introduces a scheduled 'dreaming' feature to automatically prune, organize, and consoli

Configures a scheduled automation task in OpenClaw to perform memory garbage collection, theme extraction, and long-term knowledge consolidation via a 'dreaming' mode.

📅 2026/04/06

Analyzes the economic impact of Anthropic's policy changes on OpenClaw and proposes optimization str
Comparison chart showing token usage reduction from 300k to 2k by optimizing OpenClaw context rules and switching to local Ollama runners

Analyzes the economic impact of Anthropic's policy changes on OpenClaw and proposes optimization str

Optimizing OpenClaw agent efficiency through context reduction, hybrid model usage, and local LLM deployment in response to Anthropic's token cost policies.

📅 2026/04/06

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