AI 工具指南
AI tools/Deep guide

AI Agent Memory RAG Design Guide

解释 AI Agent 记忆和 RAG 的区别，覆盖短期记忆、长期记忆、知识库检索、引用来源、更新机制、隐私和验收检查。

What is the problem?

解释 AI Agent 记忆和 RAG 的区别，覆盖短期记忆、长期记忆、知识库检索、引用来源、更新机制、隐私和验收检查。

Quick solution

Treat this as a AI tools tutorial issue. First confirm the environment, inputs, permissions, logs, and delivery boundary. Then use the linked deep guide for the full checklist before changing production code or promising a result.

Read the deep guide

Detailed steps

  1. [OpenAI Agents SDK Sessions](https://openai.github.io/openai-agents-python/sessions/)：确认会话历史和 session memory 的定义。
  2. [OpenAI Agents SDK memory reference](https://openai.github.io/openai-agents-python/ref/memory/)：确认记忆接口、会话项读取和实现边界。
  3. [OpenAI file search / retrieval](https://platform.openai.com/docs/api-reference/run-steps/getRunStep)：确认文件检索结果和引用内容的当前能力。
  4. [Vercel AI SDK Agents](https://ai-sdk.dev/docs/agents/overview)：确认 Agent、工具循环、loop control 和工具调用说法。
  5. [Vercel AI SDK human-in-the-loop](https://ai-sdk.dev/cookbook/next/human-in-the-loop)：确认需要用户批准的工具执行边界。
  6. 先定义 Agent 需要记住什么，不要默认保存所有内容。

Commands or code

The source article does not include a copyable command block. Do not invent commands here; follow the diagnostic steps in the deep guide and validate changes in the real project environment.

Risk notes

Confirm the real project environment, account permissions, platform rules, and output quality before delivery. Do not ship AI-generated changes without human review, and do not claim indexing, income, deployment success, or ranking improvements without measured evidence.