dsh-codebase-memory
DSH bundle that bridges the Codebase Memory MCP code knowledge graph into DSH and can keep indexed repositories fresh with an optional debounced filesystem watcher.
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DSH bundle that bridges the Codebase Memory MCP code knowledge graph into DSH and can keep indexed repositories fresh with an optional debounced filesystem watcher.
Cache-aware Harness Alliance Mode for DeepSeek Harness with DSH-routed Claude Code, Codex, and Kimi Code execution.
Indexed cross-session search for DeepSeek Harness — search, list, and read past and current DSH sessions through the built-in sessionQuery service. Zero runtime dependencies.
GPU-aware execution layer for DeepSeek Harness: gpu_status / gpu_exec / gpu_run_bg tools, per-step GPU context injection, automatic CUDA_VISIBLE_DEVICES card selection
Require a one-shot user approval before configured tools execute
Local-first, durable workflow runtime for Agent Apps—compile static Workflow DSL to LangGraph and orchestrate trusted multi-agent execution through Codex, WorkBuddy, DeepSeek Harness, or any MCP client.
A stateful, Agent-controllable Jupyter workspace for DeepSeek Harness: a persistent ipykernel runtime the DSH agent can read, edit, execute, and inspect, with VS Code-aligned cell UI and .ipynb save/load.
Blaxel sandbox execution plugin for DeepSeek Harness (DSH)
Ward Council — oh-my-pi advisor subsystem ported to DeepSeek Harness: independent reviewer models watch your agent's live transcript, investigate with read-only tools, and advise it. Advisors guide. The ward protects. The model executes.
Two-tier model router for DeepSeek Harness — automatic execution/judgment routing with LLM Judge, multi-model fallback chains, and exponential-backoff runtime failover. A DSH adaptation of pi-shift-router.
通过 QQ 消息远程控制 DeepSeek Harness:命令执行(/exec)、任务派发(/ask)、阶段进度汇报、屏幕截图发送(/screenshot)、AI 聊天(/chat)与聊天特化会话(/chatbind)、会话标题化管理(/newsession /title /session)。OneBot 11(NapCat/Lagrange/go-cqhttp),零 npm 依赖。
nono (Landlock/Seatbelt) backend for the DeepSeek Harness sandbox seam with a vendored fail-closed executor
Task Flow / Execution Graph plugin for DeepSeek Harness (DSH): visualize a single task's full execution — turns, LLM steps, tools, skills, subagents, retries, parallel branches — as an interactive DAG with live updates and trajectory linkage.
AI-driven partial wave analysis for DeepSeek Harness: physics-gated config editing, ctpwa fit execution, numeric evaluation, and goal-driven iterative convergence. Physics knowledge (PDG-2026) as pure functions; DSH integration as a thin pwa_* tool plugin.
DolphinDB integration for DeepSeek Harness: the WebSocket executor, the model-facing query/write tools, and the bundled DolphinDB skills as one installable profile bundle
Windows-friendly minimal agent preset for DeepSeek Harness: sandboxed pwsh, native cmd.exe, and str_replace_editor.
DevTools for DeepSeek Harness web: read-only Agent Runtime Trace — turn/step execution timeline, model latency (TTFT/decode), tool-call durations, retries, hook and turn end reasons. Metadata-first, durable events only, zero behavior modification.
Remote-SSH-style workspace for DeepSeek Harness (DSH): pick an SSH host and a remote directory as a native DSH workspace; the agent operates the remote filesystem directly via rw_* tools (SFTP/exec). No mirror, no sync — the remote is the source of truth.
Caches DSH Web file and session reference indexes for local @ filtering while preserving native mention insertion.
Expose DeepSeek Harness agent capabilities as an MCP server, so an external MCP client (e.g. Hermes) can drive Harness to execute coding tasks. Hermes = brain, Harness = arms.
Content-addressed audit indexes across independent DeepSeek Harness evidence producers
DSH 插件: pwsh executor 增强,从 workspace .env 注入环境变量到子进程
NeevSandbox execution providers for DeepSeek Harness
把 Excel/CSV、访谈纪要、网页摘录或 Markdown 等杂乱材料,转成适合中国管理层阅读的"决策型商业报告"(而非普通总结)。适用于经营复盘、周报/月报、竞品分析、市场分析、管理层汇报、业务诊断等场景。输入杂乱材料,输出可追溯、可决策、可直接汇报的中文报告,并按受众生成 CEO 一页版、部门负责人版、详细分析版。