Set package metadata to 0.10.2 and package the approved bilingual release notes for the mirror-node update source and clearer recent-conversation timestamps.
Version checks and downloads previously depended on GitHub Release. About & Updates now offers GitHub or a validated mirror source, keeps the selector beneath the startup-check switch, and disables it when startup checks are off.
The website resolves platform downloads from a bounded OSS release index with a GitHub fallback. Tagged releases publish and verify immutable OSS assets through OIDC before switching the latest-version index; deployment requires the configured Alibaba Cloud environment variables and role.
Release note: “关于与更新”新增 GitHub 与镜像节点选择，启动检查、手动检查和下载页使用同一可信来源；官网下载也可按系统、架构和安装包类型直接选择。
The recent-conversation list previously showed only a time, making older entries ambiguous. It now shows local time for conversations updated today, a local date for older entries, and includes the year when needed; the full timestamp remains available on hover.
Release note: 会话列表现在当天显示时间、较早会话显示日期，跨年记录同时显示年份，更容易快速判断最近更新时间。
The cumulative recovery notes carried the failed 0.10.0 content forward but did not yet mention the user-visible Magic Notes loading-state correction. Include that behavior in both languages without adding another item or retaining a duplicate 0.10.0 entry.
The AI comments pane reused its final empty-state title while the selected note detail was still loading. Slow CI runners could therefore satisfy the title wait before the final hint existed, causing the immutable v0.10.0 release validation to fail repeatedly.
The pane now presents a distinct loading state until note data is ready, and regression coverage controls the delayed detail response before asserting the final empty state. Recovery metadata moves the unpublished 0.10.0 notes forward to 0.10.1 so upgrading users see the cumulative release once.
Release note: 魔法笔记的 AI 评论区在笔记详情加载期间会明确显示加载状态，不再短暂显示空评论提示。
The GitHub Pages deployment commit existed only on github/main while the local branch had independently retained the same workflow and continued evolving the website. Record both histories in one merge without changing the already reviewed 0.10.0 candidate tree.
The Magic Notes editor had ambiguous font-size labels, cramped pane spacing, and a fixed short writing area. The toolbar now groups controls and uses numeric sizes, the pane and empty states are balanced, and the editor can be resized vertically from a taller default.
Release note: 优化魔法笔记编辑体验：字号改为数字、工具栏与分栏布局更清晰，输入区域支持纵向拖拽并默认显示更多内容。
The website used redrawn brand marks, generated icons retained opaque white edges, and adjacent download and Runtime sections accumulated excessive vertical space. It now uses synchronized official theme icons with transparent antialiased edges and a consistent responsive section rhythm.
Release note: 官网与应用图标现统一使用官方 GoodBuddy 标识，并优化下载区与 Agent Runtime 区之间的页面间距。
The website previously buried platform downloads and presented the desktop assistant, Agent Runtime, and broader work capabilities with competing priorities. It now leads with the desktop assistant and AI programming workbench positioning, surfaces cross-platform and domestic Linux compatibility, and uses a responsive interactive product preview with synchronized tilt and soft lighting.
Release note: GoodBuddy 官网现在更清晰地展示桌面助手、Agent Runtime、跨平台与国产化支持，并提供更直观的动态产品预览。
Settings Center used different header and content gutters, omitted the standard title divider, and mirrored scrollbar space on the left of its category navigation. The title and two-column content now share responsive page gutters, restore the standard PageHeader boundary, and balance selected rows against the visible scrollport.
Release note: 统一设置中心与其他一级页面的标题分隔线和响应式边距，并修复左侧分类选中高亮在滚动时的视觉偏移。
The settings category list reserved scrollbar space only on its right edge, so selected rows appeared visibly offset. The navigation now reserves symmetric space and uses wider desktop and medium-width columns while preserving the horizontal narrow-window layout.
Release note: 修复设置中心左侧分类选中高亮左右不平衡的问题，并适当加宽分类导航以改善标题和说明的可读性。
Built-in MCP servers were always granted to supported runtimes without per-server controls. They now have persistent enablement and runtime assignments for direct models, managed OpenCode, and Continue, while DeepSeek Harness remains visibly unsupported and cannot be assigned.
MCP settings are reorganized into Built-in MCP, Direct model, Custom MCP, and Computer control tabs. Direct-model web search now uses the same accessible collapsible inventory pattern as other tool groups.
Release note: 内置 MCP 现在可分别启停并分配给直连模型、OpenCode 和 Continue；MCP 设置分类与直连模型工具列表也更清晰，DeepSeek Harness 会明确显示为暂不支持。
DeepSeek Harness previously treated every selected model as text-only. It now carries the model profile's image capability through Main, the Utility Host, ACP, and Pi-AI, rejects unsupported images before model invocation, and validates supported JPEG/PNG data in a bounded process-local attachment store.
The Composer keeps universal controls on its first row, places OpenCode and Continue controls on a dedicated responsive row, and anchors context compaction without shifting the footer. Runtime supervision ownership for future Subagents and Jobs is documented for the right sidebar.
Release note: DeepSeek Harness 现可按所选模型连接的能力安全接收 JPEG/PNG 图片；Composer 同时将 Runtime 专属选择器移到独立一行，并固定上下文压缩入口。
Direct-model conversation history began carrying GoodBuddy UUIDs after durable context compression was added. OpenAI Responses rejected follow-up messages because provider message IDs must start with msg_, and the same metadata could also reach other protocol payloads.
Model request serialization now strips local IDs across Anthropic Messages, Chat Completions, and Responses while retaining provider IDs during Responses tool rounds. Regression coverage includes compression, tools, and a gated real-model follow-up.
Release note: 修复默认直连模型在继续对话或重新编辑发送时可能因消息 ID 格式错误而失败的问题。
Settings Center navigation was hard to read and constrained form content,
while Runtime customization duplicated headings and save actions and could
lose drafts. Settings now uses readable navigation and wider content, saves
base and native Runtime settings together, protects drafts, and presents one
compact capabilities and defaults section.
Conversation context meters could retain display-only thresholds from old
Runtime settings. They now persist only measured usage, derive compression
lines from current Runtime and model settings, and normalize legacy snapshots
when loading them.
The static website now uses the project GitHub Pages canonical URL and includes
a validated Pages deployment workflow.
Release note: 优化设置中心和 Agent Runtime 配置流程，避免重复标题、重复保存和未保存定制丢失；压缩线会随当前设置即时更新，官网也可通过 GitHub Pages 自动部署。
OpenCode and Continue customization was previously planned but unavailable, and Runtime-native capabilities were not represented consistently across providers. GoodBuddy now provides secure Main-owned customization settings, truthful native inventories, OpenCode Agents and Commands, Continue Rules and Prompts, DSH Web Search/Fetch, MCP Prompt and Resource metadata, and manual compaction where supported.
Native capabilities are presented in eleven accessible tabs with Tools separated from Commands, LSP, and Formatters. Tool source and Ask/Execute availability are explicit, external OpenCode remains connection-only, Continue reports unsupported static tool discovery instead of advertising unreachable Skills, and disposable inventory probes avoid retaining background runtimes.
Ask remains read-only at the Runtime boundary, Execute keeps the existing authorization controls, and credentials remain confined to Main.
Release note: 新增 OpenCode、Continue 与 DeepSeek Harness 的 Runtime 原生定制与真实能力清单；工具来源、Ask/Execute 可用性、上下文压缩和 MCP 元数据现在可清晰查看，同时继续保持 Main 进程凭据保护与现有权限边界。
The static product site did not have an automated public deployment. Changes under sites now validate and deploy from main to mesalogo.github.io/goodbuddy, and package metadata points to that address.
GoodBuddy could share Skills across runtimes, but custom MCP remained limited and DeepSeek Harness could not manage third-party extensions. The app now provides a default-off DSH npm marketplace with managed installation, configuration, failure isolation, and packaged npm support, while assigned custom MCP is available to managed OpenCode, Continue Agent, and DeepSeek Harness in Execute.
Third-party DSH install scripts, initialization, and tools run with the current user's permissions. Ask remains read-only at dispatch, and turning off the marketplace hides management without disabling installed plugins.
Release note: 新增默认关闭的 DSH 插件市场，并让自定义 MCP 可分配给 OpenCode、Continue 和 DeepSeek Harness；安装第三方插件前会明确提示当前用户权限边界。
Multiple model invocations in one task could share a call identifier when
a provider omitted or reused its response ID. Database upserts then replaced
earlier tool-round or summary usage, causing cumulative activity totals to
undercount successful calls.
Each completed direct-model invocation now receives a unique local call ID
while retaining the provider ID as diagnostic context. Tool rounds, final
responses, image calls, and repeated compression summaries are therefore
stored independently.
Release note: 修复连续工具调用或上下文摘要可能覆盖前序模型用量的问题；现在每次成功调用都会分别计入运行记录和累计统计。
Long direct-model conversations mixed provider usage with local estimates,
and Agent tool rounds could remain above the configured compression target.
Compression state and status markers also did not reliably survive restarts
or bounded history rollover.
Direct-model calls now prefer provider-reported usage, compact complete
conversation turns and Agent tool rounds within reserved payload budgets,
and persist reusable summaries with scope-specific markers. The chat meter
separates latest-call usage from estimated compressed conversation size,
while failed or cancelled calls retain the last successful measurement.
Release note: 直连模型现可在长对话和多轮工具执行中自动压缩旧上下文，并分别显示本次调用用量与压缩后对话估算；摘要会自动保存并跨重启复用，无需手动操作。
Token usage grouped and displayed provider identifiers, which exposed the internal goodbuddy Harness provider and made it appear comparable to OpenAI. Usage rows now follow the product's Runtime and model identity, including Direct model, OpenCode, Continue, and DeepSeek Harness, while provider data remains available only for cache accounting.
Release note: 修复 Token 用量中显示 goodbuddy 等内部标识的问题；统计现在按 Runtime 与模型名称清晰归类。
Token usage previously showed cache reads and writes without a comparable hit rate. Activity usage now calculates a weighted cache hit rate using OpenAI-compatible input totals and Anthropic's separately reported input, cache-read, and cache-write tokens, then shows it in totals and grouped details.
Release note: Token 用量统计新增缓存命中率，并针对 OpenAI 兼容接口与 Anthropic Messages 的不同上报口径进行归一化计算。
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