218 results
DSH 桌面消息提醒插件：模型需要你操作（审批/方案确认/提问的可操作提醒）或回复在后台完成时，系统通知+提示音+标签页标题提醒你；可在设置页开关并切换通知语言。Desktop notification & message alerts for DeepSeek Harness web — toasts, sounds and a tab-title marker when the agent needs your input (approval / plan review / question) or
Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent decides allow/deny on the approval answerer chain, with fail-closed fallback and full session-log audit.
MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (append-only profile-patch fragments, approval-gated writes with automatic backups), a
Bounded, layered, approval-gated, auditable cross-session memory for DeepSeek Harness — a capability seam (ctx.memory service + local SQLite provider + memory tool + frozen snapshot injection), not another memory warehouse
DeepSeek Harness 自动审批门控：Flash 模型预判写入/命令是否不可回补，安全自动批准、危险转人工（fail-safe），最小人工介入，含人工审查 UI
Lark/Feishu IM bot channel for DeepSeek Harness: chats drive agents, replies and approvals return as messages and cards
DSH 通知插件：一个 notify() 打通 27 个出站渠道；支持 Telegram / 飞书 / QQ / 钉钉等入站远程审批、提问与对话回传；内置本机 Web 管理台。零运行时依赖。
The Feishu UI for DeepSeek Harness (dsh) — a dsh-native plugin: live streaming cards, in-card questions & approvals, one-QR setup.
Four-source migration wizard: copy Claude Code, Codex, OpenCode and Hermes sessions, memories, skills, instructions and slash commands into DeepSeek Harness as resumable sessions — copy-only, approval-gated, idempotent
Fail-closed LLM-assisted approval reviewer for DeepSeek Harness
Desktop notifications for DeepSeek Harness approvals, questions, and turn completion — so neither DSH nor you end up waiting while you browse another tab.
Secure mobile gateway for DeepSeek Harness with split realtime/control channels, editable queues, stop/resume, archive/rename sync, tasks, goals, commands, approvals, and file transfers
Normalize redundant sandbox requests and malformed justifications in DeepSeek Harness tools
MCP bridge: lets ChatGPT Web create, view, continue and control DeepSeek Harness (DSH) agent sessions through the official MCP protocol. The bridge only connects; DSH keeps its session, agent, tool, approval and workspace security model.
Windows-first bash tools for DeepSeek Harness: git_bash (Git Bash) and wsl_bash (WSL2) model tools with bwrap sandbox, approval mode, terminal-style UI cards, and background-job support
Android Mobile GUI Agent plugin for DeepSeek Harness with ADB control, verified iterative actions, approval, and a Web mobile view
Official-grade GitHub CI for DeepSeek Harness: composite action (review PRs / fix CI / report), polling PR review bot with idempotent inline comments, a status-check gate, and approval-gated PR/issue/repo/file tools
Codex conversation backend for DeepSeek Harness, powered by the Codex App Server with approvals and DSH tool support.
DeepSeek Harness plugin that uses configured model providers for image analysis and context compaction.
DeepSeek Harness plugin: per-event task-completion and attention sounds for turn-end / approval / question / plan-review / goal-blocked / task-failure, each with its own sound (built-in synth, local audio file) and volume (Web UI)
DSH 微信桥插件：turn/approval 推送到微信，微信远程监控/批准/驱动 agent（iLink 通道，持久去重/分段/合并/白名单）
LLM-assisted auto approval with timeout fallback for DeepSeek Harness
DeepSeek Harness plugin: per-event task-completion and attention sounds for turn-end / approval / question / plan-review / goal-blocked / task-failure, each with its own sound (built-in synth, local audio file) and volume, with a separate subagent channel (Web UI)
Self-evolving memory + skill lifecycle for DeepSeek Harness. Cross-session memory with zero-token deterministic recall (bigram-Jaccard fused with FTS5 BM25 via RRF), a tiered approval gate, and reinforcement that strengthens what you repeat. Procedural knowledge crystallizes into SKILL.md files that refine in place and are curated through an active-stale-archived lifecycle (reversible archive, pre-op backups, rollback, never deletes). Includes background per-turn review, anti-bloat convergence for both skills and memory, an auto-grown user profile, and a web settings page.