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## Summary - 添加第二批核心功能模块的中文翻译（8 个文件）：隐私与安全、第三方集成、吉祥物、模型路由、编码器、语音、定时任务、系统与工具 - 修复批次 A 遗留的 12 处未本地化内部链接（因第二批新增目标 `.zh-CN` 文件，之前保留的英文链接现在可指向中文版） - 修复第二批翻译中的 12 处质量问题：错别字、过直译、中英混杂、指向不存在的 `.zh-CN` 链接 - 修复隐私与安全文档中指向 `local-ai.zh-CN.md` 和 `triggers.zh-CN.md` 等尚未翻译文件的错误链接 - 统一 mascot、integrations 等跨模块链接指向，确保中文读者在 zh-CN 文档间流转 - 所有修改仅涉及 `.md` 文档，无代码变更 ## Problem - OpenHuman 中文用户阅读英文文档存在语言障碍 - 第一批汉化（overview + lightweight features）完成后，核心功能模块（integrations、model-routing、native-tools 等）仍无中文版 - 批次 A 的部分链接因目标文件当时未翻译而保留英文版，随着第二批新增 zh-CN 文件，这些链接已过时 ## Solution - 基于英文原文逐文件翻译，遵循术语统一表（vault→存储库、Agent→智能体、LLM/Token 保留英文等） - 翻译完成后运行审计脚本扫描，修复所有未本地化链接、MD040 代码块标识、术语一致性问题 - 对于目标 `.zh-CN.md` 不存在的链接（如 triggers、subconscious、local-ai、agent-coordination），保持指向英文原文，在 Related 中标记后续批次覆盖计划 ## Submission Checklist - [x] I have read the Codex PR Checklist - [x] I have confirmed Type Check passes (`pnpm typecheck`) (N/A: Markdown docs only) - [x] I have confirmed the app builds locally (`pnpm build`) (N/A: Markdown docs only) - [x] I have added tests for this change (N/A: i18n docs do not affect testable logic) - [x] I have updated documentation (N/A: this PR is documentation-only) - [x] I have confirmed no feature flags are required (N/A: no code changes) - [x] I have confirmed Prettier passes (`pnpm format:check`) (N/A: Markdown docs only) ## Impact - Runtime/platform impact: None - Performance/security/migration/compatibility: None ## Related - Follow-up PR(s)/TODOs: - Batch C: subconscious.zh-CN.md, triggers.zh-CN.md, local-ai.zh-CN.md, agent-coordination.zh-CN.md - Batch C: memory-tools.zh-CN.md, meeting-agents.zh-CN.md, developing/cef.zh-CN.md --- ## AI Authored PR Metadata ### Linear Issue - Key: N/A - URL: N/A ### Commit & Branch - Branch: `docs/i18n-batch-b-core-features` - Commit SHA: see PR commits ### Validation Run - [x] `pnpm --filter openhuman-app format:check` — N/A: no code changed - [x] `pnpm typecheck` — N/A: no code changed - [x] Focused tests: N/A - [x] Rust fmt/check: N/A - [x] Tauri fmt/check: N/A ### Validation Blocked - N/A ### Behavior Changes - Intended behavior change: None - User-visible effect: Chinese users can now read core feature docs in zh-CN ### Parity Contract - Legacy behavior preserved: N/A - Guard/fallback/dispatch parity checks: N/A ### Duplicate / Superseded PR Handling - N/A <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Localization** * Updated Simplified Chinese UI strings for vault operations and MCP server/settings. * **Documentation** * Added extensive Chinese documentation covering integrations, mascot/meeting agents, model routing, native tools (voice, web search/scraper, coder, cron, system/tools), memory tree, obsidian wiki, token compression, platform, privacy/security, and subconscious/agent coordination. * **Chores** * Updated ignore rules to exclude AI assistant progress tracking. * Added documentation maintenance and validation scripts. <!-- review_stack_entry_start --> [](https://app.coderabbit.ai/change-stack/tinyhumansai/openhuman/pull/2450?utm_source=github_walkthrough&utm_medium=github&utm_campaign=change_stack) <!-- review_stack_entry_end --> <!-- end of auto-generated comment: release notes by coderabbit.ai --> Co-authored-by: agent:skill-master <skill-master@openclaw> Co-authored-by: Steven Enamakel <enamakel@tinyhumans.ai>
27 lines
1.4 KiB
Markdown
27 lines
1.4 KiB
Markdown
---
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description: 智能体如何在对话期间读取、写入和搜索自己的长期记忆。
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icon: brain
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---
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# 记忆工具
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[记忆树](../obsidian-wiki/memory-tree.zh-CN.md) 是 OpenHuman 的知识库。记忆工具是智能体在对话期间如何与其对话的。
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## 系列中的工具
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| 工具 | 功能 |
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| -------- | ----------------------------------------------------------------------------------------------------------- |
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| `recall` | 按查询搜索记忆树——源作用域、主题作用域或全局。返回带来源的块。 |
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| `store` | 写入智能体认为值得保留的新记忆（事实、偏好、一段上下文）。 |
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| `forget` | 按 ID 删除记忆——当某些东西出错、过时或用户明确要求忘记时使用。 |
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还有一个树感知的检索表面（深入主题、获取一天的全局摘要）——智能体根据问题选择正确的一个。
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## 为什么这些是工具，不是隐式上下文
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记忆树太大了，无法倾倒到每个对话中。工具让模型*询问*——"我对 Alice 知道什么？"，"昨天发生了什么？"，"提醒我上周 Stripe webhook 说了什么"——检索层只返回相关块，并附带你 Obsidian 存储库中源文件的来源追溯。
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## 另见
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* [记忆树](../obsidian-wiki/memory-tree.zh-CN.md)——这些工具从什么读取和写入什么。
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* [自动拉取](../obsidian-wiki/auto-fetch.zh-CN.md)——树如何首先被填充。 |