GoodBuddy previously required an external OpenAI-compatible endpoint for vector retrieval. It can now install, verify, import, remove, and run the built-in Granite multilingual embedding model in an isolated local inference process, while retaining custom embedding connections and migrating existing settings.
The model connection UI now manages built-in and custom vector connections consistently, reports the actual retrieval path, preserves credentials across failed saves, and renders the vector tab synchronously. Related settings copy, switch styling, metadata typography, and renderer bundle guardrails are aligned with the resulting workflow.
Release note: 新增可管理的内置 Granite 多语言向量模型，支持本地下载、离线导入、连接切换与诊断；同时优化向量设置及相关界面的文案、开关和状态显示。
Selecting ModelScope could leave supported speech models unavailable because their fixed targets were incomplete and the official LFS redirect host was not allowed. Speech models now resolve complete per-source artifact fingerprints while preserving integrity checks, ZIP compatibility, and source isolation.
Release note: 修复选择 ModelScope 后部分语音模型仍无法下载的问题；六个语音模型现均可从已验证的固定 ModelScope 来源下载。
Address reliability and consistency gaps across Agent Runtimes, persistence, settings, Knowledge, Magic Notes, Smart Heartbeat, and the download site. Runtime processes now have bounded lifecycle cleanup and atomic configuration rollback, while model packages and persisted mutations recover safely.
Add a configurable global shortcut, protect unsaved work, improve modal and keyboard behavior, localize the built-in project without rewriting stored data, and lazy-load heavy renderer routes under enforced bundle budgets. Align project forms and disabled controls with shared typography and interaction states, and strengthen website release metadata validation and navigation accessibility.
Release note: 修复 Runtime、设置、知识库、魔法笔记与智能心跳中的可靠性和交互一致性问题；新增可配置全局快捷键，改进无障碍与加载性能，并强化官网下载校验。
Messages and Scheduled Task occurrences previously could not share one ordered path while a Conversation was active. They now enter a durable FIFO queue with frozen execution settings and bounded attachments, recover safely after restart, and never write concurrently to the same timeline.
The compact queue above Composer supports removal and explicit interrupt-and-promote actions. SQLite schema v23 preserves pending schedule work, while Conversation Task children reuse the shared status-dot semantics for running, completed, failed, approval, paused, and cancelled states.
Release note: 回复生成期间仍可继续发送普通消息；消息与 Scheduled Task 会按 Conversation 顺序排队，并支持删除待发送项或立即中断后优先执行。
Scheduled tasks previously created separate visible work for each run and lacked one conversation-backed product identity. Custom tasks now create or reuse one stable Task and Conversation, reuse that identity across triggers, and write text results back with Task provenance.
Tasks default to Execute while preserving the configured Runtime, tool authorization, and high-risk approval boundaries. Schema v22 backfills existing schedules to stable Task and Conversation links without deleting historical runs.
The conversation list, conversation Task strip, and Task Center now expose the same Task, with localized status metadata, overflow-aware titles, and shared schedule controls.
Release note: 现在可以创建关联当前或新会话的定制计划任务；重复执行会复用同一 Task 并将文本结果回写会话，左侧会话列表和 Task Center 可直接查看和管理。
Managed speech and OCR downloads previously used catalog-specific source URLs without a global selection. Platform Features now lets users choose ModelScope by default or Hugging Face, while Main validates and freezes that source for each download.
Verified coverage remains explicit: downloads never mix artifacts or silently switch sources, and installed models plus ZIP imports stay source-independent.
Release note: 可在“设置 → 平台功能 → 通用设置”中选择 ModelScope 或 Hugging Face 作为后续语音输入与 OCR 模型下载源；缺少完整已验证文件或下载失败时不会静默换源。
Replace the flat features directory with document-type and functional-domain navigation, update repository-wide links, and add a top-level documentation index.
Define Task, Conversation, Job, Subjob, Run, Scheduled Task, Goal Task, and Task Center in one canonical document set. Keep Smart Heartbeat ownership separate and leave future partitioned memory explicitly undesigned.
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