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

Wed, 18 Mar 2026 16:33:52 +0000

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)

OpenAI Responses API + MCP in Practice: From Function Calling to Agent Workflows

Wed, 11 Feb 2026 23:15:00 +0800

If you’ve already used function calling but keep writing glue code for every non-trivial task, you’re likely at the point where Responses API + MCP makes more sense.

This guide is practical: how to move from single tool calls to a scalable agent workflow where retrieval, execution, validation, and write-back follow a consistent structure.

Agent on Mengboy Tech Notes

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

OpenAI Responses API + MCP in Practice: From Function Calling to Agent Workflows