Echo Memory v0.7.0

Echo Memory v0.7.0

Highlights

• Dual processing channels: choose local transcription and analysis by default, or configure an OpenAI-compatible third-party ASR provider and text model as an enhanced path.
• Enforced privacy gates: third-party ASR requires completed provider settings, an API key, and a separate audio-upload consent. Third-party text analysis requires its own text-send consent. Missing configuration or consent fails before an external connection is created.
• Speaker-aware third-party transcripts: consume speaker, speaker_label, speaker_id, and person fields when a provider returns them. Normalize labels such as SPEAKER_00 locally; do not infer speakers from text.
• Single-record management: the record context menu supports opening management, moving to another knowledge library, renaming, archiving/restoring, and deleting without requiring a prior checkbox selection.
• Analysis quality states: advisory quality warnings no longer force an otherwise complete analysis into an incomplete state; blocking failures still do.
• Settings ergonomics: long template and AI model settings pages use one stable scrolling container, and template sections can be added continuously through the documented limit with visible feedback.
• Release quality gates: frontend type checking/build, growth and UI tests, Rust formatting, Clippy with warnings denied, Rust tests, and production dependency auditing remain required.

Verification status

• The deterministic frontend and Rust test suites pass locally before release packaging.
• Production npm dependencies report no known vulnerabilities when audited against the official npm registry.
• Third-party ASR and text-model integrations are covered by configuration, consent, transport-boundary, and parsing tests. They have not all been validated end to end with real commercial API credentials; this release does not claim every provider is certified.
• Environment-dependent ignored tests remain optional and require their documented local models, recordings, tokens, and isolated library.

Distribution status

This source release is version 0.7.0. The public artifact is Echo-Memory_0.7.0_aarch64.dmg, SHA-256 caa5ea42dd1d8ff3f321e6ea8eca2db0a84f20ee802cd01125e938c262dadc92.

• codesign --verify --deep --strict passes for both the packaged application and the DMG.
• hdiutil verify confirms the disk image is intact.
• spctl --assess --type install reports accepted with source=Notarized Developer ID.
• xcrun stapler validate passes for both the DMG and the mounted application.
• This DMG is an Apple-signed and notarized Developer ID release. Apple notarization submission 12853e50-c0df-4b94-93d2-62d43cbe3f18 completed with status Accepted.

Users can download the DMG, open it, and move 回声记忆.app into /Applications normally.

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回声记忆 v0.7.0

本版重点

• 双处理通道：默认使用本机转写与分析，也可以配置 OpenAI-compatible 第三方 ASR 和文本模型，切换到效果优先的增强通道。
• 强制隐私门禁：第三方转写必须完整配置服务商、地址、模型和 API Key，并单独同意上传原始音频；第三方文本分析有独立的文本发送同意。配置或同意缺失时，服务层会在建立外发连接前失败。
• 服务商说话人字段：解析服务商真实返回的 speaker、speaker_label、speaker_id、person，本地化 SPEAKER_00 等标签；不根据文本猜测说话人。
• 单条记录管理：右键菜单支持打开管理、转移知识库、重命名、归档/恢复和删除，无需先勾选。
• 分析质量状态：建议级质量提醒不再把其余分析完整的记录标成“分析不完整”；阻断级失败仍保持未完成。
• 设置体验：长模板列表与 AI 模型设置共用稳定滚动容器；模板栏目可连续添加到明确上限，并有自动可见与计数反馈。
• 发布质量门禁：继续要求前端类型检查、构建、成长/UI 测试、Rust 格式、Clippy 全警告阻断、Rust 测试和生产依赖审计。

验证状态

• 发布打包前，本地确定性前端与 Rust 测试全部通过。
• 使用官方 npm registry 审计生产依赖时，已知漏洞为 0。
• 第三方 ASR 与文本模型已有配置、同意、传输边界和字段解析测试；尚未全部使用真实商业 API Key 完成端到端验证，因此本版不宣称所有服务商均已认证。
• 依赖真实模型、录音和 Token 的 #[ignore] 测试仍是可选任务，必须满足各自环境要求。

分发状态

本源码版本为 0.7.0，公开安装包为 Echo-Memory_0.7.0_aarch64.dmg，SHA-256 为 caa5ea42dd1d8ff3f321e6ea8eca2db0a84f20ee802cd01125e938c262dadc92。

• 应用程序与 DMG 均通过 codesign --verify --deep --strict。
• hdiutil verify 确认磁盘镜像完整。
• spctl --assess --type install 返回 accepted，来源为 Notarized Developer ID。
• xcrun stapler validate 对 DMG 和挂载后的应用均通过。
• 因此它明确标注为 Apple 已签名并完成公证的 Developer ID 发布版。公证提交 12853e50-c0df-4b94-93d2-62d43cbe3f18 状态为 Accepted。

macOS 用户下载 DMG 后可正常打开，并把 回声记忆.app 拖入 /Applications。