通过配置内存和语义搜索将 OpenClaw Agent 的 Token 成本降低 70%

部署运维📅 2026/03/04
来源@slash1sol
#CI/CD#开发者#GitHub#低风险#手动触发#可复用#半自动#代码仓库#报告
展示优化后的 OpenClaw Agent 架构及 Token 流量减少的示意图
STOP WASTING TOKENS ON OPENCLAW (I DID IT FOR WEEKS)

thought my agent was "optimized" - turns out it was just a token burning machine

this guide exposed my setup: no workspace config = 3x spend on every call

key insight: bootstrap memory (https://t.co/AOuZH7RlQv, https://t.co/eZkTWcq1Gk etc) loads EVERY time - stuff it wisely or pay forever

semantic search pulls facts on-demand from https://t.co/NAcNyG959D - no constant token drain

after tweaks:

> token usage: down 70%
> agent recall: flawless across sessions

gateway handles the pipeline: 
message -> context inject -> LLM loop -> tools -> response

miss this? 

your agent's half-baked

If you're running @openclaw vanilla, you're leaking cash and potential

dive into this breakdown and don't forget to bookmark it - it's agent building gold imo