--- 格式版本: 2 标题: "Memories | ChatGPT Learn" 原文链接: "https://developers.openai.com/codex/customization/memories" 发布日期: "2026-08-16" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "rule:local:strict_original_body" 发布时间证据: "Published Time: Sun, 16 Aug 2026 07:22:16 GMT" 发布时间校准原因: "规则确认唯一严格发布时间，来源 local:strict_original_body" 发布时间校准置信度: "high" 发布时间候选数量: 4 发布时间严格候选数量: 1 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-17T00:05:17+08:00" 发布时间仲裁状态: "skipped" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-08-16T23:54:06+08:00" 入库时间: "2026-08-16T16:05:17.407Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://developers.openai.com/blog" 匹配关键词: - "deployment" - "performance" - "latency" - "throughput" - "AI" 相关厂家: - "OpenAI" - "Microsoft" - "AWS" - "Google" - "Oracle" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 0 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "与超节点/AI Rack/机柜级AI基础设施完全无关，是OpenAI开发者文档导航页，内容为ChatGPT记忆功能，不涉及任何相关技术或商业信号。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-17T00:05:24+08:00" AI主题相关性: 0 AI来源权威性: 0 AI新颖性: 0 AI技术细节: 0 AI商业部署信号: 0 AI完整性: 0 AI摘要: "该文档介绍 OpenAI Codex 的 Memories（记忆）功能，面向开发者说明如何为 Codex 配置记忆，使其在后续会话中记住用户偏好、项目背景和常用指令，从而减少重复说明。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T03:27:30.165Z" 采集批次: "2026年8月16日20点37分10秒" 采集批次ID: "20260816-203710-016" 去重键: "https://developers.openai.com/codex/customization/memories" --- Title: Memories | ChatGPT Learn URL Source: https://developers.openai.com/codex/customization/memories Published Time: Sun, 16 Aug 2026 07:22:16 GMT Markdown Content: For the complete documentation index, see [llms.txt](https://developers.openai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to the page URL. 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Basics](https://developers.openai.com/codex/config-file/config-basic) * [Advanced Config](https://developers.openai.com/codex/config-file/config-advanced) * [Config Reference](https://developers.openai.com/codex/config-file/config-reference) * [Environment Variables](https://developers.openai.com/codex/config-file/environment-variables) * [Sample Config](https://developers.openai.com/codex/config-file/config-sample) ### Agent configuration * [AGENTS.md](https://developers.openai.com/codex/agent-configuration/agents-md) * [Subagents](https://developers.openai.com/codex/agent-configuration/subagents) * [Speed](https://developers.openai.com/codex/agent-configuration/speed) * [Rules](https://developers.openai.com/codex/agent-configuration/rules) ### Extend ChatGPT and Codex * [Record & Replay](https://developers.openai.com/codex/extend/record-and-replay) * [MCP](https://developers.openai.com/codex/extend/mcp) ### Linux * [Desktop app](https://developers.openai.com/codex/linux/linux-app) ### Windows * [Desktop app](https://developers.openai.com/codex/windows/windows-app) * [Windows sandbox](https://developers.openai.com/codex/windows/windows-sandbox) * [WSL](https://developers.openai.com/codex/windows/wsl) ![Image 2](https://developers.openai.com/images/codex/surface-icons/chatgpt-app.webp)ChatGPT desktop app Copy Page # Memories How ChatGPT and Codex carry useful context forward across chats ![Image 3](https://developers.openai.com/images/codex/surface-icons/chatgpt-app.webp)ChatGPT desktop app Copy Page Memories let ChatGPT and Codex carry useful context from earlier work into future work. ChatGPT web uses ChatGPT memory, while local Codex clients use a separate local memory store and controls. Keep required team guidance in `AGENTS.md` or checked-in documentation. Treat memories as a helpful recall layer, not as the only source for rules that must always apply. In the ChatGPT desktop app, use `/memories` to choose whether a chat can use local memories or contribute to future memories. Manage the feature from **Settings > Personalization** when you need to turn it on or off. Manage ChatGPT memory from **Settings > Personalization**. ChatGPT Work uses the memory settings available to your account and workspace; it doesn’t use a local Codex memory store or local memory controls. In Codex CLI, use `/memories` in an interactive session to control whether the current chat can use existing local memories or become an input for future memories. See [Configure local memories](https://developers.openai.com/codex/customization/memories#configure-local-memories) if the command isn’t available. The IDE extension uses the connected Codex host’s local memory store. When memories are enabled for that host, use the same chat-level controls as Codex CLI. [Computer History](https://developers.openai.com/codex/customization/computer-history) is a macOS desktop feature that turns activity across allowed apps and websites into memories and a timeline that ChatGPT and Codex can reference. [](https://developers.openai.com/codex/customization/memories)[](https://developers.openai.com/codex/customization/memories)[](https://developers.openai.com/codex/customization/memories)[](https://developers.openai.com/codex/customization/memories)[](https://developers.openai.com/codex/customization/memories)[](https://developers.openai.com/codex/customization/memories) ## How local Codex memories work After you enable memories, Codex can turn useful context from eligible prior chats into local memory files. Codex skips active or short-lived sessions, redacts secrets from generated memory fields, and updates memories in the background instead of immediately at the end of every chat. Memories may not update right away when a chat ends. Codex waits until a chat has been idle long enough to avoid summarizing work that’s still in progress. Memory generation can also skip a background pass when your Codex rate-limit remaining percentage is below the configured threshold, so Codex doesn’t spend quota when you’re near a limit. ## Local memory storage Codex stores memories under your Codex home directory. By default, that’s `~/.codex`. See [Config and state locations](https://developers.openai.com/codex/config-file/config-advanced#config-and-state-locations) for how Codex uses `CODEX_HOME`. The main memory files live under `~/.codex/memories/` and include summaries, durable entries, recent inputs, and supporting evidence from prior chats. Treat these files as generated state. You can inspect them when troubleshooting or before sharing your Codex home directory, but don’t rely on editing them by hand as your primary control surface. [](https://developers.openai.com/codex/customization/memories) ## Control local memories per chat In the ChatGPT desktop app and Codex TUI, use `/memories` to control memory behavior for the current chat. Chat-level choices let you decide whether the current chat can use existing memories and whether Codex can use the chat to generate future memories. Chat-level choices don’t change your global memory settings. ## Review local memories Don’t store secrets in memories. Codex redacts secrets from generated memory fields, but you should still review memory files before sharing your Codex home directory or generated memory artifacts. [](https://developers.openai.com/codex/customization/memories)[](https://developers.openai.com/codex/customization/memories) ## Configure local memories Local Codex memories are off by default. In the ChatGPT desktop app, open **Settings > Personalization** and turn on **Enable memories**. For config-based setup, add the feature flag to `config.toml`: ``` [features] memories = true ``` For config file locations and the full list of memory-related settings, see [Config basics](https://developers.openai.com/codex/config-file/config-basic) and the [configuration reference](https://developers.openai.com/codex/config-file/config-reference). Common memory-specific settings include: * `memories.generate_memories`: controls whether newly created chats can be stored as memory-generation inputs. * `memories.use_memories`: controls whether Codex injects existing memories into future sessions. * `memories.disable_on_external_context`: when `true`, keeps chats that used external context such as MCP tool calls, web search, or tool search out of memory generation. The older `memories.no_memories_if_mcp_or_web_search` key is still accepted as an alias. * `memories.min_rate_limit_remaining_percent`: controls the minimum remaining Codex rate-limit percentage required before memory generation starts. * `memories.extract_model`: overrides the model used for per-chat memory extraction. * `memories.consolidation_model`: overrides the model used for global memory consolidation. [Previous Overview](https://developers.openai.com/codex/customization/overview)[Next Computer History](https://developers.openai.com/codex/customization/computer-history) Ask AI ## Docs agent Loading docs agent...