@tingrudeng/dsh-feishu-bot
Feishu (Lark) private-chat frontend for DeepSeek Harness: drive, monitor, and approve local agents from Feishu, sharing sessions with the Web GUI
86 results
Feishu (Lark) private-chat frontend for DeepSeek Harness: drive, monitor, and approve local agents from Feishu, sharing sessions with the Web GUI
Ponytail for DSH — the lazy senior dev. Live intensity switching (off/lite/full/ultra) with a toggle in the composer, injecting a minimal-code ruleset before every step to cut token usage.
DSH-native multi-AI group chat: the host (user) runs a chatroom of configurable AI agents with per-agent models, role cards, mute controls, and passive/active speaking modes — pure Node.js/Cordis, no Tauri/Rust
Portrait and mobile adaptation for DeepSeek Harness Web UI — overlay drawer, full-width conversation, sheet-based dialogs, safe-area handling
DeepSeek Harness plugin: ownership-checked delete_subagent / release_subagent / list_subagents tools and host routes that permanently remove subagent sessions from the web UI list.
Model pricing and capability board for DeepSeek Harness: compare per-1M-token prices, find the cheapest route, and see coding/agentic/vision tags for every LLM you can connect — in the DSH settings UI.
Split-screen workspace for the DeepSeek Harness web GUI — chat with several agents side by side in native-looking panes.
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
dshX terminal UI — a fork of dsh-TUI (Claude Code style TUI front door for DeepSeek Harness agents) with the dshX brand.
Remote development for the DeepSeek Harness web GUI: connect a workspace to an SSH server, provision a .dsh-server there, run its files, terminals, conversations and agents on that machine — Work mode included, as the harness running there shown here
Drop-in replacement for the Codex subagent provider that projects the app-server stream into a harness child session, so Codex runs render as ordinary subagents in the Web UI
Generative UI for DeepSeek Harness — the agent writes TSX, dsh web renders it live, inline in chat and in a canvas panel
Agent instruction manager for DeepSeek Harness: edit, refine, and template the AGENTS.md files the harness actually reads — the user-global ~/.dsh/AGENTS.md and per-workspace AGENTS.md — from a sidebar panel.
dsh 项目桥接:自动导入 .claude/.agents/.trae skills,桥接 MCP 服务器(HTTP/SSE + stdio),GUI 开关面板。
DSH plugin: render every subagent as a clickable card in the main conversation that opens the child as an ordinary session — OpenCode-style subagent visibility, without re-rendering the shell's session view.
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
Plugin Cordis para o DeepSeek Harness v0.1: interceta a camada HTTP (auth barrier sobre o fallback da Web UI) e orquestra subprocessos de longa duracao com ciclo de vida reversivel.
Mermaid diagram enhancement for the DeepSeek Harness (DSH) web GUI: Ctrl/Cmd+wheel zoom, drag to pan, double-click reset, hover toolbar with zoom controls and 2x PNG copy. Pure client-side DOM enhancement.
Skill manager for DeepSeek Harness: proactive skill activation with trigger hooks, GitHub source sync, and a Settings management UI.
ResearchCraft as a DeepSeek Harness profile: DSH web UI and agent, scientific skills, lab notebook, specialist subagents.
Terminals view tab for the DSH web UI: live count of background shells/subagents per session, Chinese purpose titles, collapsible command bodies with streaming output, and one-click kill
并行 agent 开发环境:Codex/ClaudeCode/OpenCode/Pi 并排跑,各在独立 git worktree——一个 prompt 扇出 5 个 agent 比较合并胜者;移动伴侣监控、终端分屏、Design Mode(点击 UI 元素送 HTML/CSS/截图进 prompt)、GitHub/Linear 原生、SSH worktree、AI diff 标注。受 stablyai/orca(49k★ MIT)启发。
Persistent, searchable, per-project memory for the DeepSeek Harness: decisions, rules, and sprint context in a queryable DuckDB file, rules enforced on every model request, with a full management UI in the Web Client
Web agent-heartbeat sonification for DeepSeek Harness: a calm lub-dub hum while agents work, ticks on streaming output, chime when a session awaits your input