Context Cleanup

分析并归档 OpenClaw workspace 中低价值 memory 记录，缓解上下文膨胀与启动变慢。适用于上下文冗余、维护整理场景。默认先分析与计划，执行归档前要求确认。

Reasoning hygiene protocol for OpenClaw agents — keep context sharp by collapsing exploration into decisions, enforcing file budgets, and pruning ghost conte...

Optimize OpenClaw agent context files by reducing token usage 30-50% with backups, preview, rollback, and preserving core functionality on request.

Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information lifecycle management. Use when the session context is near its limit (>80%), when the agent experiences "memory loss" after compaction, or when aiming to reduce token costs and latency for long-running tasks.

Automates safe cleanup of OpenClaw workspaces by previewing and moving temp files, logs, duplicates, and cruft to the system trash with customizable filtering.

Intelligently compresses and optimizes context to reduce token usage by 40-60%, using deduplication, pruning, summarization, and adaptive learning.