Memory

Go + OpenAI Responses Agent Memory Layering: Short-Term Context, Long-Term Index, and Cost Caps

In production Go agents, the first thing that breaks is usually not model quality. It is memory management: context grows, bills spike, and answers drift. Use a 3-layer memory design: L1: short-term conversational window (seconds) L2: rolling summary (minutes) L3: long-term retrieval memory (days) ...

Go + OpenAI Responses Agent 记忆分层实战：短期上下文、长期索引与成本封顶

你在 Go 里做 Agent，最容易翻车的不是推理能力，而是“记忆”失控：上下文越来越长、账单越来越高、回答却越来越飘。这篇给你一个可落地的三层方案： L1：短期会话上下文（秒级，强相关） L2：中期摘要记忆（分钟级，压缩） L3：长期检索记忆（天级，向量索引） ...