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Brings open-mcp-apps into DeepSeek Harness (dsh): an Apps section in the sidebar, one container per app with its own workspace and conversation, an agent-presence strip under the app, and inline app rendering for MCP tool calls.
Floating notes for the dsh web GUI: keep commands, credentials, parameter values and other important snippets at hand while working, insert any note straight into the composer, and save any selected text (e.g. from an AI answer) as a note with one click
Your DeepSeek Harness agent rings your actual phone. It asks out loud, you answer out loud, and what you said steers the run.
The single plugin you need for DSH
Web-chat-like message actions for DeepSeek Harness: edit-and-resend your prompt and regenerate answers in place, with a deepseek.com-style <i/N> version pager on every versioned message.
Cache-stable progressive tool discovery and dispatch for DeepSeek Harness
Multi-provider quota monitor for DeepSeek Harness: balance type (query + JS parser) and window type (local sliding-window metering), with Command Code support, live spend animation and refresh progress. Sidebar widget + Plugins page.
DSH Windows default shell policy plugin: probe git-bash/MSYS2, switch bash/pwsh from the plugin config card, register the bash tool and trim the prompt tool surface. DSH Windows 默认 Shell 策略插件：探测 git-bash，配置面板切换 bash/pwsh，动态注册 bash 工具并裁剪提示词工具面
dsh client bundle: a sidebar usage & cost dashboard — token stats, peak/off-peak aware per-model pricing, membership ladder, achievements and a daily heatmap.
Auto-healing, argument normalization, Code-Mode bridging and execution diagnostics for DeepSeek Harness
Unified agent memory for DeepSeek Harness — one shared Obsidian vault for every agent (dsh, Codex, Claude, Hermes). Ships the dependency-free Python core (search/promote/adjudicate/forget), a vault template, and a dsh plugin with memory_search / memory_show / memory_submit / memory_status tools. · 统一 Agent 记忆系统：多 Agent 共享一个 Obsidian vault，附零依赖 Python core 与 dsh 插件。
DSH plugin: one settings panel for MCP servers, skills, scenes, memories, subagent personas and AGENTS.md presets — a scene switches the whole environment, and the model can drive it from chat too.
Noname (无名杀) extension workshop for DeepSeek Harness: AI writes skills/cards with official-reference search, validation-gated writes, task history, and a web workshop panel.
Multi-channel IM gateway plugin for DeepSeek Harness (dsh): DingTalk / QQ / WeChat(iLink) / Feishu(Lark) / WeCom with QR-scan binding, streaming replies, and a unified ctx.imGateway service. 为 DeepSeek Harness 提供钉钉/QQ/个人微信/飞书/企业微信多 IM 通道接入。
Rewind a DSH conversation to any user message: hide the tail from the chat view and the model context, keep the durable log intact, cancel freely before sending.
DSH web plugin: Codex-style side chat (fork the current session into a persistent side panel) + selection annotations with numbered badges and a composer chip. Runs directly on the DSH native right sidebar (DSH ≥ 0.1.5); dsh-better-sidebar is an optional peer for older hosts. / Codex 风格侧边聊天 + 划选注释的 DSH 插件。
One memory layer for every AI tool and agent, packaged for DeepSeek Harness with startup context, prompt-time recall, Mem MCP tools, and DSH thread capture.
Durable context retention and recall policy for the stock DeepSeek Harness agent loop
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
DSH plugin: branch visibility and git worktree isolation for Web UI sessions
DeepSeek Harness web plugin: DeepSeek API spend (per session / all sessions) and account balance in a top-right overlay card. Only deepseek-official routes are billed; third-party models are reported as unbilled.
DSH host plugin: thinking-level (reasoning_effort) control for dsh — auto-adjust per tool round, with optional manual lock and per-tool timing telemetry.
Oh My Pi bash runtime ported as a deepseek-harness tool plugin: persistent shell session, output minimizer, managed background jobs, command interception
Enhanced ACP server for DeepSeek Harness: block-level streaming, usage/stat telemetry (cache hit rate, token speed, input/output tokens, context length, turns, tool timing), model & reasoning-effort switching, and permission-preset control over the ACP wire (Zed-friendly)