Model connections can now save bounded JSON request headers and top-level body fields. Direct requests and Continue support both; local OpenCode and DeepSeek Harness use only native header support, while the managed remote OpenCode gateway applies both.
Runtime, protocol, and authentication fields keep precedence. Custom values are ordinary connection settings, not credential storage. This migrates Runtime settings from v20 to v21 and updates the DeepSeek control and managed Runtime ACP capabilities.
Release note: 模型连接详情新增自定义请求头和请求体；直连与 Continue 支持两者，本地 OpenCode 和 DeepSeek Harness 仅应用原生支持的请求头，受管远程 OpenCode 支持两者，界面会明确提示生效范围。
The built-in browser was limited to direct-model tools, and its Agent switch also blocked manual Browser workbar actions. It is now a request-scoped GoodBuddy capability assignable to direct models, managed OpenCode, and Continue, while manual browser controls remain available when Agent access is off.
Existing browser enablement migrates to capability settings version 6. DeepSeek Harness remains unsupported.
Release note: 内置浏览器现在可分配给直连模型、OpenCode 和 Continue；关闭 Agent 浏览器能力不会影响用户在浏览器工作栏中的手动操作。
Local embedded OpenCode serialized otherwise independent conversations, and GoodBuddy could stop long Runtime tasks after fixed tool, activity, model-call, or accumulated display-output limits.
Different conversations can now run concurrently while requests in the same conversation stay ordered. Dynamic MCP tools remain isolated to the current request. OpenCode, Continue, managed ACP, and the Agent model gateway no longer stop native execution at GoodBuddy-defined call counts or prompt-wide output totals; display copies truncate and transport queues apply backpressure instead. Prompt-wide quota fields are removed from the current contracts.
Per-call model settings, provider request timeouts, cancellation, and same-conversation ordering remain unchanged.
Release note: 修复本机 OpenCode 不同会话互相等待的问题，并移除 GoodBuddy 对单次 Runtime 工具、活动和模型调用次数的人为上限；长输出现在只截断展示或施加传输背压，不再取消原生任务。
Direct model conversations can now execute bounded platform-native processes and delegate one level of programming work without duplicating tools in Agent Runtimes. Process and Subagent activity follows existing workspace, mode, approval, cancellation, and lifecycle boundaries, with chat attribution and complete feature documentation.
Remove the static Renderer bundle baseline gate and its build-only manifests; production builds continue to compile all processes and verify the control-plane installer. Also include the pending documentation link normalization.
Release note: 直连模型现在可在 Execute 模式运行本机命令，并可委派编程 Subagent 完成修改、测试和复核；构建流程不再因静态 Renderer 包体基线阻塞。
Add managed SSH Hosts and projects with signed side-by-side GoodBuddy Agent and OpenCode Runtime installation, Ask and Execute workspace access, a Main-owned model bridge, detached Agent lifecycle, durable ACP output recovery, and project activation UI.
Use protocol v2 with bounded FIFO frames over SSH instead of custom credit, priority, batching, or model-message chunking. Mismatched Host Agents now upgrade automatically, an exactly verified Node runtime is reused on-host, and local Portable builds can embed strictly verified Agent artifacts.
Release note: 新增托管 SSH 远程项目，可自动安装或升级签名 Agent/OpenCode Runtime，并在 SSH 断线后继续 Agent 工作和同步未确认输出。
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。
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。
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。
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。
mesalogo