Reddit 实战：会话“失忆 + 输入 token 暴涨”时的降载与记忆稳态方案
问题/场景：长会话中出现上下文漂移、输入 token 不断抬升。前置条件：已启用 memory 与 cron/heartbeat。实施步骤：先定位高消耗会话，再把长期信息沉淀到 MEMORY.md、把周期检查移到 heartbeat/cron，最后定期轮换活跃会话。关键命令：`openclaw status`、`openclaw gateway status`。验证：同类任务输入 token 曲线回落且记忆命中更稳定。风险：过度清理会切断必要上下文。
REDDITDiscovered 2026-02-15Author u/slippery_sausage69
Prerequisites
- OpenClaw is already running with writable workspace memory files (MEMORY.md + memory/*.md).
- You can inspect session usage and adjust heartbeat/cron behavior.
Steps
- Identify high-token sessions first: compare recent heavy turns and isolate recurring prompts that keep re-sending large context.
- Move stable facts (identity, preferences, long-lived decisions) into MEMORY.md; keep daily noise in memory/YYYY-MM-DD.md.
- Batch periodic checks through HEARTBEAT.md or cron jobs instead of repeated ad-hoc asks inside one long chat thread.
- For bloated threads, start a fresh session for new work chunks while preserving only required carry-over context as concise notes.
Commands
openclaw statusopenclaw gateway statusVerify
Over 24h, repeated tasks show lower average input tokens and memory recall answers remain consistent with stored notes.
Caveats
- Community report is symptom-driven; exact token savings depend on model/provider and task style（需验证）.
- If you rotate sessions too aggressively, hidden dependencies may be lost; keep explicit handoff summaries.
Source attribution
This tip is aggregated from community/public sources and preserved with attribution.
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