dsh-brainagent
BrainAgent — brain-inspired plugin for DeepSeek Harness (dsh): a pipeline of heuristic filters, statistical memory stores and context injections; reward-ledger + UCB1 bandit learning loop (RL-lite)
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BrainAgent — brain-inspired plugin for DeepSeek Harness (dsh): a pipeline of heuristic filters, statistical memory stores and context injections; reward-ledger + UCB1 bandit learning loop (RL-lite)
DSH 参考文献工具插件:cite_lookup/cite_format/cite_bibtex/cite_check/cite_health 五工具(含自检),Crossref 元数据查询(含 DOI 精确解析与并发校验),GB/T 7714 / APA / MLA / Chicago 格式化,零运行时依赖。
DSH 并发请求监控与门闩:挂钩 llm/stream 瀑布,统计全部在途模型请求并按来源分类(主会话/子代理/插件/压缩/标题)与会话活跃聚合,达到上限 FIFO 排队,防止并发超限被供应商锁号;v1.5.0 新增会话级并发控制——实时给在线活跃会话设置并发数(rootId 解析到顶层会话,含子代理),面板新页签「会话并发」;v1.5.1 异常明细改 tab 切换并新增「按分类×错误信息」汇总报表;v1.5.2 异常明细加「今日/全部」范围切换、逐条明细改倒序、新增历史数据清理(保留最近 N 天 / 分项清理 / dayRetention 自动保留);提供 WebUI 实时面板(含历史清理)、HTTP JSON 端点、状态文件与 concurrency_status / concurrency_session_list / concurrency_session_set 工具。
为 DeepSeek Harness 打造的实时用量/费用/余额计量插件:在聊天输入框旁直接看到 tokens、花费与真实余额。
OrbStack VM sandbox v0.4.0: 在 v0.3(安全/可靠性)基础上新增 A1 交互终端、A3 场景化一键创建、A4 删除撤销+完成通知、A5 配额一眼可见、A6 协作分组、B1 安全基线 vm_harden、B2 密钥库 vm_secret、C1 增强指标+阈值告警 vm_alert、D1 vm_scp/vm_logs/vm_env/vm_withdraw、D2 调度 UI+用量报表 vm_report、D3 导出分片/远端、D4 累计配额+创建排队。
chat.deepseek.com-style attachments for DeepSeek Harness: official upload icon, DS-style file cards (240x64, 16px radius), drag-drop, text extraction (PDF/DOCX/XLSX/TXT) injected into the message
Same-runtime cross-Session discovery and communication for DeepSeek Harness
CodeGraph integration for DeepSeek Harness
DSH 桌面启动器 + 一键关机:桌面图标创建、Web GUI 启动、优雅退出,适配 dsh 0.1.2-rc.1,移植自 @linxin666/dsh-desktop-launcher 0.2.8
🐋 DSH 鲸鱼娘桌宠插件:/whalepet 命令启动 DeepSeek Harness 桌面宠物(启动/停止/监测服务、双击唤起 GUI)
生物信息学「许愿式分析」插件:Python 执行器(bio_python:Biopython 全功能 + 出版级绘图)+ 49 个高频语义化工具(差异表达/GSEA、代谢建模/FBA、合成生物学设计、CRISPR、ML、文献检索等)+ 49 个 skill(1 主 skill + 17 领域配方 + 17 协议 + 5 研究方法 + 8 agent 指南)+ 零依赖自举 Python 环境(uv+venv 自动下载到插件私有目录)。用户下载安装即可许愿式分析。
GitHub CI co-pilot for DeepSeek Harness: PR review, CI failure fixing, issue triage and release notes. Everything is a plugin.
Multi-session terminal workbench for DeepSeek Harness — durable Assistant, persistent project sessions, structured tools, diffs, plans, and subagents.
Record & Replay for the dsh web GUI: (1) replay every automatically recorded session as a readable timeline, export/import shareable replay packs, re-run a recorded conversation; (2) Codex-style screen recording -> skill generation - record a computer-use session in the browser (getDisplayMedia -> webm + sampled frames), replay it, and have an agent analyze the frames and install a generated SKILL.md into ~/.dsh/skills. Hot-pluggable - mounted via the profile patch layer, no dsh source changes.
Zero-token online status indicator for the DeepSeek Harness (dsh) web UI. 零 token 在线状态指示器:在会话头部常驻显示 ● 在线 / ● 离线,每 15 秒自动检测一次,不消耗 token。
Academic writing toolkit for DeepSeek Harness agents: paper outlines, title/abstract skeletons, GB/T 7714 / APA / MLA citations and reference lists, LaTeX snippets, structure checks, term glossaries, phrasing QA, and a pre-submission checklist
DSH 插件:/gamemode 1 = 一键切换到内置创造模式(cordis)预设。DSH plugin: /gamemode 1 = switch to the built-in Creative Mode (cordis) agent preset.
Visual workflow builder for DSH: drag-and-drop canvas to orchestrate tool calls, sub-agents, and conditional branches, powered by React Flow.
OneBot 11 as a dsh UI surface: forward WebSocket protocol client, chat ⇄ agent bridge, and OneBot tools (a profile bundle over dsh-base)
External vision proxy plugin for DeepSeek Harness, enabling text-only models (DeepSeek-V3 / R1) to analyze and understand images via OpenAI-compatible vision APIs.
Unit conversion toolbox for DeepSeek Harness (dsh): length, mass, temperature, area, volume (incl. cooking), speed, time, data sizes (decimal MB vs binary MiB), data transfer rates (Mbps vs MB/s), acceleration (m/s², g-force), illumination (lux, foot-candle), pressure, energy, angle, frequency, power (mechanical/metric/electric horsepower), force, torque, typography (px/pt/em/rem), fuel economy (mpg ↔ L/100km) — zero runtime dependencies
OpenCode Go usage stats for the DeepSeek Harness Web GUI: compact bottom-left sidebar button with a hover detail card
Mixture of Agents for DeepSeek Harness: /moa marks a message, multiple reference models assist the main model's summary.
DSH 界面中文标签持久化插件:每次启动时自动将 client 模块中的英文工具/状态标签修补为中文,升级 DSH 后自动恢复,无需手动改文件。