LingShu v0.1.0-alpha.6

LingShu v0.1.0-alpha.6

English | 简体中文

English

This alpha turns LingShu's artifact workflow into something prospective users can inspect before installing. It adds a privacy-safe, reproducible Project Aurora sample and closes two visible English-interface gaps in command approval and task participant categories.

What changed

• Added an editable four-slide Project Aurora PPTX, a one-page DOCX, a PDF preview, and rendered slide images built entirely from fictional data.
• Added direct sample links and previews to the bilingual README and project website.
• Fixed light-mode command approval text so unselected actions remain readable.
• Localized system-owned task participant and role labels at display time without changing persisted task history, filtering, or lineage.
• Added regression coverage for the English participant categories and built-in role titles.

Verification and release integrity

• Full local suite: 1,581 tests executed, 4 environment-dependent tests skipped, 0 failures.
• GitHub CI passed on release source commit af829f1eeac627cde362f23e6b799a0101b2f521.
• The public PPTX has exactly four 16:9 slides; the DOCX renders as one page; both OOXML archives passed integrity and privacy scans.
• Build 9 was compiled from a clean source tree for both Apple silicon and Intel.
• The app and DMG were separately accepted by Apple notarization and carry stapled tickets.
• The release script remounted the DMG and revalidated the installed app, bundled CLI, signature, notarization, and embedded source revision.
• DMG SHA-256: 1e3ad6b3311e69c6e83e2da69b3b049eeb400ace81e0d8b82dc99812fd2d7d81.

Install

brew install --cask RoyZhao1991/tap/lingshu

Or download the Universal DMG and verify it:

shasum -a 256 -c LingShu-0.1.0-9-macOS-universal.dmg.sha256

Requires macOS 14 or later and a supported model token or compatible custom endpoint. LingShu remains alpha software; keep backups and review high-impact actions and generated deliverables.

简体中文

本次 Alpha 让潜在用户在安装前就能检查灵枢的真实产物工作流：新增完全使用虚构数据、可复现的 Project Aurora 样例，并补齐浅色授权窗口和子线程角色分类中的英文界面漏项。

本次改动

• 新增可编辑的四页 Project Aurora PPTX、一页 DOCX、PDF 预览和逐页渲染图，全部使用虚构数据。
• 在中英文 README 与项目官网中增加样例直达入口和页面预览。
• 修复浅色模式下命令授权窗口未选操作文字不可读的问题。
• 系统内置参与方与角色名称在展示层跟随界面语言，不改变任务历史、筛选条件和角色血缘。
• 增加英文参与方分类与内置角色标题的回归测试。

验证与发布完整性

• 本地完整回归：执行 1,581 项测试，4 项环境相关测试按设计跳过，0 失败。
• 发布源码提交 af829f1eeac627cde362f23e6b799a0101b2f521 的 GitHub CI 已通过。
• 公开 PPTX 严格为四页 16:9，DOCX 渲染为一页；两个 OOXML 文件均通过完整性与隐私扫描。
• Build 9 从干净工作区构建，同时覆盖 Apple 芯片与 Intel。
• App 与 DMG 分别通过 Apple 公证并装订公证票据。
• 发布脚本重新挂载 DMG，再次校验其中 App、内置 CLI、签名、公证状态和源码提交号。
• DMG SHA-256：1e3ad6b3311e69c6e83e2da69b3b049eeb400ace81e0d8b82dc99812fd2d7d81。

安装

brew install --cask RoyZhao1991/tap/lingshu

也可以下载 Universal DMG 并校验：

shasum -a 256 -c LingShu-0.1.0-9-macOS-universal.dmg.sha256

需要 macOS 14 或更高版本，以及受支持模型服务商的 Token 或兼容自定义端点。灵枢仍处 Alpha 阶段，请保留重要文件备份，并检查高影响操作与生成产物。

LingShu v0.1.0-alpha.5

LingShu v0.1.0-alpha.5

English | 简体中文

English

This alpha finishes the first-screen English localization verified in the previous release. System-owned model connection states now follow the selected interface language instead of leaking Chinese text into an English session.

What changed

• The compose dock now shows Model channel connected, Local model channel available, or Model channel disconnected in English mode.
• Model connection state uses the shared runtime-localization boundary, so remote providers, local models, and future compatible channels follow the same rule.
• The fix does not branch on provider or model identity and does not change serialized main-session, CLI, permission, or human-collaboration behavior.

Core capabilities

• Produce real editable presentation, document, image, and code artifacts; register and preview them locally; revise the actual files; and hand them to an independent checker.
• Bring your own model through OpenAI, Anthropic Claude, DeepSeek, MiniMax M3, or a custom compatible endpoint.
• Convert requests into structured goals, run mutable workflows through isolated workers and local tools, and verify results before completion.
• Pause an exact worker or checker session for login, QR scanning, file selection, confirmation, or other human action, then resume from that checkpoint.
• Use native macOS Accessibility-based Computer Use without requiring Codex.
• Use the bundled lingshu CLI as a one-request/one-response entrance for Feishu bots, webhooks, Shortcuts, and local automation while preserving the same serialized main session.

Verification and release integrity

• Full local suite: 1,578 tests executed, 3 environment-dependent tests skipped, 0 failures.
• GitHub CI passed on release source commit 9e36b69664db168a3d4954de2bdc5ee684fedec0.
• Build 8 was compiled from a clean source tree in isolated Apple silicon and Intel scratch directories.
• The app and DMG were separately accepted by Apple notarization and carry stapled tickets.
• The release script remounted the DMG and revalidated the installed app, bundled CLI, signature, notarization, and embedded source revision.
• DMG SHA-256: a8b99ea48b345f25af416616ea5d6dd37f4ff88114e9677b9cc6a27d36dd87e4.

Install

brew install --cask RoyZhao1991/tap/lingshu

Or download the Universal DMG and verify it:

shasum -a 256 -c LingShu-0.1.0-8-macOS-universal.dmg.sha256

Requires macOS 14 or later and a supported model token or compatible custom endpoint. LingShu remains alpha software; keep backups and review high-impact actions and generated deliverables.

简体中文

本次 Alpha 补齐上一版本验证中发现的英文首屏漏项。模型连接状态现在会跟随界面语言，不会在英文会话中直接显示中文系统文案。

本次改动

• 英文模式下，输入区连接状态会显示 Model channel connected、Local model channel available 或 Model channel disconnected。
• 模型连接状态统一通过运行时本地化边界处理，远端服务、本地模型和未来兼容通道遵循同一规则。
• 修复不按服务商或模型身份分支，也不改变主会话串行、CLI、授权或人机协作行为。

核心能力

• 生成真实可编辑的 PPT、文档、图片与代码产物，在本地登记、预览和修改，并交给独立 checker 验收。
• 支持 OpenAI、Anthropic Claude、DeepSeek、MiniMax M3 与自定义兼容端点，主脑可替换。
• 将请求整理为结构化目标，通过可变工作流、隔离 worker 和本地工具推进，并在完成前验收。
• worker 或 checker 可因登录、扫码、选文件、确认或其他人工动作暂停精确会话，完成后从原断点继续。
• 通过 macOS 原生辅助功能接口进行 Computer Use，不依赖 Codex。
• 随 App 交付 lingshu CLI，为飞书机器人、Webhook、快捷指令和本地自动化提供一问一答入口，并复用同一串行主会话。

验证与发布完整性

• 本地完整回归：执行 1,578 项测试，3 项环境相关测试按设计跳过，0 失败。
• 发布源码提交 9e36b69664db168a3d4954de2bdc5ee684fedec0 的 GitHub CI 已通过。
• Build 8 从干净工作区构建，Apple 芯片与 Intel 分别使用隔离的临时编译目录。
• App 与 DMG 分别通过 Apple 公证并装订公证票据。
• 发布脚本重新挂载 DMG，再次校验其中 App、内置 CLI、签名、公证状态和源码提交号。
• DMG SHA-256：a8b99ea48b345f25af416616ea5d6dd37f4ff88114e9677b9cc6a27d36dd87e4。

安装

brew install --cask RoyZhao1991/tap/lingshu

也可以下载 Universal DMG 并校验：

shasum -a 256 -c LingShu-0.1.0-8-macOS-universal.dmg.sha256

需要 macOS 14 或更高版本，以及受支持模型服务商的 Token 或兼容自定义端点。灵枢仍处 Alpha 阶段，请保留重要文件备份，并检查高影响操作与生成产物。

LingShu v0.1.0-alpha.4

LingShu v0.1.0-alpha.4

English | 简体中文

English

This alpha makes the first-run language choice consistent from the first visible message while preserving the agent, CLI, human-collaboration, and artifact-delivery behavior introduced in the earlier public alphas.

What changed

• English first launch now starts with an English Nous greeting instead of the previous hard-coded Chinese message.
• Clearing the main conversation creates a new greeting and execution-trace reset message in the currently selected language.
• Switching the first-run language updates only the untouched welcome message. Existing conversation content is never rewritten.
• The language preference and highest-priority model instruction now share one small support boundary instead of expanding the UI localization module.

Core capabilities

• Turn a report brief into real editable presentation or document files, register and preview them locally, revise the actual output, and hand it to an independent checker.
• Bring your own model through OpenAI, Anthropic Claude, DeepSeek, MiniMax M3, or a custom compatible endpoint.
• Convert requests into structured goals, run mutable workflows through isolated workers and local tools, and verify results before completion.
• Pause an exact worker or checker session for typed human collaboration such as login, QR scanning, file selection, confirmation, or physical action, then resume from that checkpoint.
• Use native macOS Accessibility-based Computer Use without requiring Codex.
• Use the bundled lingshu CLI as a one-request/one-response entrance for Feishu bots, webhooks, Shortcuts, and local automation while preserving the same serialized main session.

Verification and release integrity

• Full local suite: 1,578 tests executed, 3 environment-dependent tests skipped, 0 failures.
• GitHub CI passed on release source commit 52ab1cc2f184f50e8ac9780a5ecfa77383cd1c2f.
• Build 7 was compiled from a clean source tree in isolated Apple silicon and Intel scratch directories.
• The app and DMG were separately accepted by Apple notarization and carry stapled tickets.
• The release script remounted the DMG and revalidated the installed app, bundled CLI, signature, notarization, and embedded source revision.
• DMG SHA-256: daaf69d7eb1e5fc76d6fdf9a9c2216a3ba87aea7b90fef4c30fdff3b647b2518.

Install

With Homebrew:

brew install --cask RoyZhao1991/tap/lingshu

Or download the Universal DMG and .sha256 file from this release, then verify it:

shasum -a 256 -c LingShu-0.1.0-7-macOS-universal.dmg.sha256

Open the DMG, drag 灵枢.app to Applications, launch it, choose a language, and follow the brain-channel setup guide. Grant macOS permissions only when a capability you choose requires them.

Requirements and limitations

• macOS 14 or later.
• A token for a supported model provider, or a compatible custom endpoint.
• LingShu is alpha software. Keep backups and review high-impact actions and generated deliverables.
• Remote model and perception requests follow the configured provider's privacy and retention terms.
• This DMG does not bundle the optional SenseVoice model runtime or experimental HAL virtual microphone driver; Apple Speech remains available as a local fallback.

简体中文

本次 Alpha 让首次语言选择从第一条可见消息开始保持一致，同时保留此前公开版本已经提供的 Agent、CLI、人机协作与真实产物交付能力。

本次改动

• 首次选择英文后，欢迎语现在会以 Nous 和英文显示，不再出现写死的中文首条消息。
• 清空主对话后，新欢迎语和执行轨迹重置提示会使用当前所选语言。
• 首次切换语言只更新尚未发生真实对话的欢迎语，不会重写已有会话内容。
• 语言偏好与模型最高优先级语言指令归入独立的小型支持模块，避免继续扩大界面国际化模块。

核心能力

• 把一条汇报需求推进为真实可编辑的 PPT 或文档，在本地登记、预览和修改，并交给独立 checker 验收。
• 支持 OpenAI、Anthropic Claude、DeepSeek、MiniMax M3 与自定义兼容端点，主脑可替换。
• 将请求整理为结构化目标，通过可变工作流、隔离 worker 和本地工具推进，并在完成前验收。
• worker 或 checker 可因登录、扫码、选文件、确认或实体操作暂停精确会话，用户完成后从原断点继续。
• 通过 macOS 原生辅助功能接口进行 Computer Use，不依赖 Codex。
• 随 App 交付 lingshu CLI，为飞书机器人、Webhook、快捷指令和本地自动化提供一问一答入口，并复用同一串行主会话。

验证与发布完整性

• 本地完整回归：执行 1,578 项测试，3 项环境相关测试按设计跳过，0 失败。
• 发布源码提交 52ab1cc2f184f50e8ac9780a5ecfa77383cd1c2f 的 GitHub CI 已通过。
• Build 7 从干净工作区构建，Apple 芯片与 Intel 分别使用隔离的临时编译目录。
• App 与 DMG 分别通过 Apple 公证并装订公证票据。
• 发布脚本重新挂载 DMG，再次校验其中 App、内置 CLI、签名、公证状态和源码提交号。
• DMG SHA-256：daaf69d7eb1e5fc76d6fdf9a9c2216a3ba87aea7b90fef4c30fdff3b647b2518。

安装

使用 Homebrew：

brew install --cask RoyZhao1991/tap/lingshu

也可以下载本 Release 的 Universal DMG 与 .sha256 文件并校验：

shasum -a 256 -c LingShu-0.1.0-7-macOS-universal.dmg.sha256

打开 DMG，把 灵枢.app 拖入“应用程序”，启动后选择语言并按引导配置主脑。仅在所选能力确实需要时授予对应 macOS 权限。

环境要求与限制

• 需要 macOS 14 或更高版本。
• 需要受支持模型服务商的 Token，或兼容的自定义端点。
• 灵枢仍处 Alpha 阶段，请保留重要文件备份，并检查高影响操作与生成产物。
• 发送到远程模型或感知服务的内容受对应服务商隐私和留存条款约束。
• 本 DMG 不内置可选的 SenseVoice 模型运行时或实验性 HAL 虚拟麦克风驱动；Apple Speech 仍可作为本地回退方案。

LingShu v0.1.0-alpha.3

LingShu v0.1.0-alpha.3

English | 简体中文

English

This maintenance alpha keeps LingShu's agent and CLI behavior from alpha.2 while rebuilding the public package from clean, isolated compiler state. LingShu is a native macOS AI agent that turns goals into verified deliverables. It is intended for developers and early adopters who are comfortable reviewing permissions, provider settings, and generated work before relying on it.

Highlights

• Take a report brief end to end: create real editable presentation or document files, register and preview them locally, revise the actual output, and hand it to an independent checker instead of stopping at an outline.
• Bring your own model through OpenAI, Anthropic Claude, DeepSeek, MiniMax M3, or a custom compatible endpoint.
• Convert requests into structured goals, dispatch isolated workers, and verify results before completion.
• Adapt the still-pending execution graph at runtime while keeping the original goal and acceptance boundary fixed.
• Pause an exact worker or checker session for typed human collaboration such as login, QR scanning, file selection, confirmation, or physical action, then resume from that checkpoint.
• Create, register, preview, and revisit real files such as documents, presentations, reports, code, and scripts.
• Operate authorized Mac apps through native Accessibility-based Computer Use without requiring Codex.
• Preserve task records, artifact history, and distilled child-task results across sessions.
• Guide first-time users through brain-channel setup when no working model configuration is available.
• Use the bundled lingshu CLI as a one-request/one-response entrance for Feishu bots, webhooks, Shortcuts, and local automation while preserving the same main-session memory, authorization, task records, and human-interaction checkpoints.

Release integrity

• Apple silicon and Intel binaries are compiled in separate temporary scratch directories for every distribution build, preventing stale local build objects from entering a public package.
• The app records the exact Git source revision in its bundle metadata. Build 6 identifies 9c5aeec7c77e23891acf8d3606023058ffffd05a.
• release-manifest.json records the source archive, app binary, CLI binary, and DMG SHA-256 values together with both Apple notarization request IDs.
• The release script rejects a dirty source tree and verifies the bundled source revision before creating the DMG.

Install

1. Download the Universal DMG and its .sha256 file from this release.
2. Verify the download with shasum -a 256 -c LingShu-0.1.0-6-macOS-universal.dmg.sha256.
3. Open the DMG and drag 灵枢.app to Applications.
4. Launch LingShu and follow the brain setup guide.
5. Grant macOS permissions only when a capability you choose requires them.

The optional CLI is bundled inside the installed app. See the CLI and connector guide for setup, JSON output, exit codes, and the external-connector pattern.

Homebrew users can install both the app and CLI with brew install --cask RoyZhao1991/tap/lingshu. Build 6 preserves the terminal-state fix for one-request/one-response connectors and closes the release/source drift found in the previous package.

The DMG supports Apple silicon and Intel Macs, is signed with a Developer ID certificate, notarized by Apple, and carries a stapled notarization ticket.

Package profile

To keep the first download deterministic and reasonably small, this DMG does not bundle the optional SenseVoice model runtime or the experimental HAL virtual microphone driver. Apple Speech remains available as the local speech-recognition fallback. The source tree retains both optional integration paths for development and later packages.

Requirements and known limitations

• macOS 14 or later.
• A token for a supported model provider, or a compatible custom endpoint.
• Accessibility and Screen Recording are required only for the corresponding Computer Use capabilities; microphone, speech-recognition, and camera permissions are capability-specific.
• LingShu is alpha software. Keep backups and review high-impact actions and generated deliverables.
• Remote model and perception requests are governed by the configured provider's privacy and retention terms.
• Provider behavior, multimodal support, permissions, and app accessibility trees vary by environment.
• The HAL virtual microphone remains experimental and is not included in this DMG.

Please report reproducible defects with the bug template. Security issues should be reported privately according to the security policy.

简体中文

这是灵枢的维护版 Alpha：保留 alpha.2 的 Agent 与 CLI 行为，同时使用完全隔离、无旧缓存的编译环境重新生成公开安装包。灵枢是一款把用户目标推进为可验收产物的原生 macOS AI Agent。本版本面向愿意检查系统权限、模型配置和生成结果的开发者与早期用户。

主要能力

• 端到端完成汇报交付：把一条需求推进为真实可编辑的 PPT 或文档，在本地登记并预览，基于实际产物继续修改，再交给独立 checker 验收，而不是停在提纲。
• 支持 OpenAI、Anthropic Claude、DeepSeek、MiniMax M3 及自定义兼容端点，主脑可替换。
• 将请求整理为结构化目标，派发隔离工作线程，并在完成前进行结果验收。
• 在不改变原始目标与验收边界的前提下，按执行现场动态调整尚未启动的工作流节点。
• worker 或 checker 可因登录、扫码、选文件、确认或实体操作暂停精确会话，并在用户完成后从原断点继续。
• 生成、登记、预览并持续追踪文档、PPT、报告、代码和脚本等真实文件。
• 通过 macOS 原生辅助功能接口操作已授权应用，Computer Use 不依赖 Codex。
• 跨会话保留任务记录、产物历史与子任务蒸馏结果。
• 没有可用主脑配置时，首次启动引导用户完成通道设置。
• 随 App 交付 lingshu CLI，为飞书机器人、Webhook、快捷指令与本地自动化提供一问一答入口，同时复用同一主会话的记忆、授权、任务记录和人机交互断点。

发布完整性

• 每次公开构建都在独立临时目录中分别编译 Apple silicon 与 Intel 二进制，避免本机旧编译对象进入发布包。
• App 在包元数据中记录精确的 Git 源码提交号；Build 6 对应 9c5aeec7c77e23891acf8d3606023058ffffd05a。
• release-manifest.json 同时记录源码归档、App 二进制、CLI 二进制与 DMG 的 SHA-256，以及两次 Apple 公证请求编号。
• 发布脚本拒绝从脏工作区构建，并在生成 DMG 前校验包内源码版本。

安装方式

1. 下载本 Release 中的 Universal DMG 与对应 .sha256 文件。
2. 运行 shasum -a 256 -c LingShu-0.1.0-6-macOS-universal.dmg.sha256 校验文件。
3. 打开 DMG，将 灵枢.app 拖入“应用程序”。
4. 启动灵枢，并按引导配置主脑通道。
5. 仅在所选能力确实需要时授予对应 macOS 权限。

可选 CLI 已随安装后的 App 一并交付。安装方式、JSON 返回、退出码与外部连接器范式见 CLI 与连接器指南。

Homebrew 用户可通过 brew install --cask RoyZhao1991/tap/lingshu 同时安装 App 与 CLI。Build 6 保留了一问一答连接器终态回报修复，并解决上一安装包存在的发布包与源码漂移问题。

该 DMG 同时支持 Apple 芯片和 Intel Mac，使用 Developer ID 签名，已通过 Apple 公证并附加公证票据。

安装包说明

为保证首个下载包可复现且体积合理，本 DMG 不内置可选的 SenseVoice 模型运行时，也不携带仍处实验阶段的 HAL 虚拟麦克风驱动。Apple Speech 仍可作为本地语音识别回退方案；源码中继续保留这两条可选集成路径，供开发构建和后续安装包使用。

环境要求与已知限制

• 需要 macOS 14 或更高版本。
• 需要受支持模型服务商的 Token，或兼容的自定义模型端点。
• 只有使用相应 Computer Use 能力时才需要辅助功能与屏幕录制权限；麦克风、语音识别和摄像头权限也按能力申请。
• 灵枢仍处 Alpha 阶段。请保留重要文件备份，并检查高影响操作与生成产物。
• 发送到远程模型或感知服务的内容受对应服务商隐私和留存条款约束。
• 不同服务商的多模态能力、系统权限与应用辅助功能树可能存在差异。
• HAL 虚拟麦克风仍是实验能力，本 DMG 不包含该驱动。

请使用 Bug 模板提交可复现问题；安全问题请按安全策略通过私密渠道报告。

LingShu v0.1.0-alpha.2

LingShu v0.1.0-alpha.2

English | 简体中文

English

This is the first public alpha of LingShu, a native macOS AI agent that turns goals into verified deliverables. It is intended for developers and early adopters who are comfortable reviewing permissions, provider settings, and generated work before relying on it.

Highlights

• Take a report brief end to end: create real editable presentation or document files, register and preview them locally, revise the actual output, and hand it to an independent checker instead of stopping at an outline.
• Bring your own model through OpenAI, Anthropic Claude, DeepSeek, MiniMax M3, or a custom compatible endpoint.
• Convert requests into structured goals, dispatch isolated workers, and verify results before completion.
• Adapt the still-pending execution graph at runtime while keeping the original goal and acceptance boundary fixed.
• Pause an exact worker or checker session for typed human collaboration such as login, QR scanning, file selection, confirmation, or physical action, then resume from that checkpoint.
• Create, register, preview, and revisit real files such as documents, presentations, reports, code, and scripts.
• Operate authorized Mac apps through native Accessibility-based Computer Use without requiring Codex.
• Preserve task records, artifact history, and distilled child-task results across sessions.
• Guide first-time users through brain-channel setup when no working model configuration is available.
• Use the bundled lingshu CLI as a one-request/one-response entrance for Feishu bots, webhooks, Shortcuts, and local automation while preserving the same main-session memory, authorization, task records, and human-interaction checkpoints.

Install

1. Download the Universal DMG and its .sha256 file from this release.
2. Verify the download with shasum -a 256 -c LingShu-0.1.0-5-macOS-universal.dmg.sha256.
3. Open the DMG and drag 灵枢.app to Applications.
4. Launch LingShu and follow the brain setup guide.
5. Grant macOS permissions only when a capability you choose requires them.

The optional CLI is bundled inside the installed app. See the CLI and connector guide for setup, JSON output, exit codes, and the external-connector pattern.

Homebrew users can install both the app and CLI with brew install --cask RoyZhao1991/tap/lingshu. Build 5 also fixes terminal-state reporting for one-request/one-response connectors, including compatibility with earlier cached task payloads.

The DMG supports Apple silicon and Intel Macs, is signed with a Developer ID certificate, notarized by Apple, and carries a stapled notarization ticket.

Package profile

To keep the first download deterministic and reasonably small, this DMG does not bundle the optional SenseVoice model runtime or the experimental HAL virtual microphone driver. Apple Speech remains available as the local speech-recognition fallback. The source tree retains both optional integration paths for development and later packages.

Requirements and known limitations

• macOS 14 or later.
• A token for a supported model provider, or a compatible custom endpoint.
• Accessibility and Screen Recording are required only for the corresponding Computer Use capabilities; microphone, speech-recognition, and camera permissions are capability-specific.
• LingShu is alpha software. Keep backups and review high-impact actions and generated deliverables.
• Remote model and perception requests are governed by the configured provider's privacy and retention terms.
• Provider behavior, multimodal support, permissions, and app accessibility trees vary by environment.
• The HAL virtual microphone remains experimental and is not included in this DMG.

Please report reproducible defects with the bug template. Security issues should be reported privately according to the security policy.

简体中文

这是灵枢的首个公开 Alpha 版本。灵枢是一款把用户目标推进为可验收产物的原生 macOS AI Agent。本版本面向愿意检查系统权限、模型配置和生成结果的开发者与早期用户。

主要能力

• 端到端完成汇报交付：把一条需求推进为真实可编辑的 PPT 或文档，在本地登记并预览，基于实际产物继续修改，再交给独立 checker 验收，而不是停在提纲。
• 支持 OpenAI、Anthropic Claude、DeepSeek、MiniMax M3 及自定义兼容端点，主脑可替换。
• 将请求整理为结构化目标，派发隔离工作线程，并在完成前进行结果验收。
• 在不改变原始目标与验收边界的前提下，按执行现场动态调整尚未启动的工作流节点。
• worker 或 checker 可因登录、扫码、选文件、确认或实体操作暂停精确会话，并在用户完成后从原断点继续。
• 生成、登记、预览并持续追踪文档、PPT、报告、代码和脚本等真实文件。
• 通过 macOS 原生辅助功能接口操作已授权应用，Computer Use 不依赖 Codex。
• 跨会话保留任务记录、产物历史与子任务蒸馏结果。
• 没有可用主脑配置时，首次启动引导用户完成通道设置。
• 随 App 交付 lingshu CLI，为飞书机器人、Webhook、快捷指令与本地自动化提供一问一答入口，同时复用同一主会话的记忆、授权、任务记录和人机交互断点。

安装方式

1. 下载本 Release 中的 Universal DMG 与对应 .sha256 文件。
2. 运行 shasum -a 256 -c LingShu-0.1.0-5-macOS-universal.dmg.sha256 校验文件。
3. 打开 DMG，将 灵枢.app 拖入“应用程序”。
4. 启动灵枢，并按引导配置主脑通道。
5. 仅在所选能力确实需要时授予对应 macOS 权限。

可选 CLI 已随安装后的 App 一并交付。安装方式、JSON 返回、退出码与外部连接器范式见 CLI 与连接器指南。

Homebrew 用户可通过 brew install --cask RoyZhao1991/tap/lingshu 同时安装 App 与 CLI。Build 5 修复了一问一答连接器的终态回报，并兼容早期版本缓存的任务载荷。

该 DMG 同时支持 Apple 芯片和 Intel Mac，使用 Developer ID 签名，已通过 Apple 公证并附加公证票据。

安装包说明

为保证首个下载包可复现且体积合理，本 DMG 不内置可选的 SenseVoice 模型运行时，也不携带仍处实验阶段的 HAL 虚拟麦克风驱动。Apple Speech 仍可作为本地语音识别回退方案；源码中继续保留这两条可选集成路径，供开发构建和后续安装包使用。

环境要求与已知限制

• 需要 macOS 14 或更高版本。
• 需要受支持模型服务商的 Token，或兼容的自定义模型端点。
• 只有使用相应 Computer Use 能力时才需要辅助功能与屏幕录制权限；麦克风、语音识别和摄像头权限也按能力申请。
• 灵枢仍处 Alpha 阶段。请保留重要文件备份，并检查高影响操作与生成产物。
• 发送到远程模型或感知服务的内容受对应服务商隐私和留存条款约束。
• 不同服务商的多模态能力、系统权限与应用辅助功能树可能存在差异。
• HAL 虚拟麦克风仍是实验能力，本 DMG 不包含该驱动。

请使用 Bug 模板提交可复现问题；安全问题请按安全策略通过私密渠道报告。

LingShu v0.1.0-alpha

LingShu v0.1.0-alpha

English | 简体中文

English

This is the first public alpha of LingShu, a native macOS AI agent that turns goals into verified deliverables. It is intended for developers and early adopters who are comfortable reviewing permissions, provider settings, and generated work before relying on it.

Highlights

• Take a report brief end to end: create real editable presentation or document files, register and preview them locally, revise the actual output, and hand it to an independent checker instead of stopping at an outline.
• Bring your own model through OpenAI, Anthropic Claude, DeepSeek, MiniMax M3, or a custom compatible endpoint.
• Convert requests into structured goals, dispatch isolated workers, and verify results before completion.
• Adapt the still-pending execution graph at runtime while keeping the original goal and acceptance boundary fixed.
• Pause an exact worker or checker session for typed human collaboration such as login, QR scanning, file selection, confirmation, or physical action, then resume from that checkpoint.
• Create, register, preview, and revisit real files such as documents, presentations, reports, code, and scripts.
• Operate authorized Mac apps through native Accessibility-based Computer Use without requiring Codex.
• Preserve task records, artifact history, and distilled child-task results across sessions.
• Guide first-time users through brain-channel setup when no working model configuration is available.
• Use the bundled lingshu CLI as a one-request/one-response entrance for Feishu bots, webhooks, Shortcuts, and local automation while preserving the same main-session memory, authorization, task records, and human-interaction checkpoints.

Install

1. Download the Universal DMG and its .sha256 file from this release.
2. Verify the download with shasum -a 256 -c LingShu-0.1.0-4-macOS-universal.dmg.sha256.
3. Open the DMG and drag 灵枢.app to Applications.
4. Launch LingShu and follow the brain setup guide.
5. Grant macOS permissions only when a capability you choose requires them.

The optional CLI is bundled inside the installed app. See the CLI and connector guide for setup, JSON output, exit codes, and the external-connector pattern.

The DMG supports Apple silicon and Intel Macs, is signed with a Developer ID certificate, notarized by Apple, and carries a stapled notarization ticket.

Package profile

To keep the first download deterministic and reasonably small, this DMG does not bundle the optional SenseVoice model runtime or the experimental HAL virtual microphone driver. Apple Speech remains available as the local speech-recognition fallback. The source tree retains both optional integration paths for development and later packages.

Requirements and known limitations

• macOS 14 or later.
• A token for a supported model provider, or a compatible custom endpoint.
• Accessibility and Screen Recording are required only for the corresponding Computer Use capabilities; microphone, speech-recognition, and camera permissions are capability-specific.
• LingShu is alpha software. Keep backups and review high-impact actions and generated deliverables.
• Remote model and perception requests are governed by the configured provider's privacy and retention terms.
• Provider behavior, multimodal support, permissions, and app accessibility trees vary by environment.
• The HAL virtual microphone remains experimental and is not included in this DMG.

Please report reproducible defects with the bug template. Security issues should be reported privately according to the security policy.

简体中文

这是灵枢的首个公开 Alpha 版本。灵枢是一款把用户目标推进为可验收产物的原生 macOS AI Agent。本版本面向愿意检查系统权限、模型配置和生成结果的开发者与早期用户。

主要能力

• 端到端完成汇报交付：把一条需求推进为真实可编辑的 PPT 或文档，在本地登记并预览，基于实际产物继续修改，再交给独立 checker 验收，而不是停在提纲。
• 支持 OpenAI、Anthropic Claude、DeepSeek、MiniMax M3 及自定义兼容端点，主脑可替换。
• 将请求整理为结构化目标，派发隔离工作线程，并在完成前进行结果验收。
• 在不改变原始目标与验收边界的前提下，按执行现场动态调整尚未启动的工作流节点。
• worker 或 checker 可因登录、扫码、选文件、确认或实体操作暂停精确会话，并在用户完成后从原断点继续。
• 生成、登记、预览并持续追踪文档、PPT、报告、代码和脚本等真实文件。
• 通过 macOS 原生辅助功能接口操作已授权应用，Computer Use 不依赖 Codex。
• 跨会话保留任务记录、产物历史与子任务蒸馏结果。
• 没有可用主脑配置时，首次启动引导用户完成通道设置。
• 随 App 交付 lingshu CLI，为飞书机器人、Webhook、快捷指令与本地自动化提供一问一答入口，同时复用同一主会话的记忆、授权、任务记录和人机交互断点。

安装方式

1. 下载本 Release 中的 Universal DMG 与对应 .sha256 文件。
2. 运行 shasum -a 256 -c LingShu-0.1.0-4-macOS-universal.dmg.sha256 校验文件。
3. 打开 DMG，将 灵枢.app 拖入“应用程序”。
4. 启动灵枢，并按引导配置主脑通道。
5. 仅在所选能力确实需要时授予对应 macOS 权限。

可选 CLI 已随安装后的 App 一并交付。安装方式、JSON 返回、退出码与外部连接器范式见 CLI 与连接器指南。

该 DMG 同时支持 Apple 芯片和 Intel Mac，使用 Developer ID 签名，已通过 Apple 公证并附加公证票据。

安装包说明

为保证首个下载包可复现且体积合理，本 DMG 不内置可选的 SenseVoice 模型运行时，也不携带仍处实验阶段的 HAL 虚拟麦克风驱动。Apple Speech 仍可作为本地语音识别回退方案；源码中继续保留这两条可选集成路径，供开发构建和后续安装包使用。

环境要求与已知限制

• 需要 macOS 14 或更高版本。
• 需要受支持模型服务商的 Token，或兼容的自定义模型端点。
• 只有使用相应 Computer Use 能力时才需要辅助功能与屏幕录制权限；麦克风、语音识别和摄像头权限也按能力申请。
• 灵枢仍处 Alpha 阶段。请保留重要文件备份，并检查高影响操作与生成产物。
• 发送到远程模型或感知服务的内容受对应服务商隐私和留存条款约束。
• 不同服务商的多模态能力、系统权限与应用辅助功能树可能存在差异。
• HAL 虚拟麦克风仍是实验能力，本 DMG 不包含该驱动。

请使用 Bug 模板提交可复现问题；安全问题请按安全策略通过私密渠道报告。