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Named subagent library for DeepSeek Harness: a settings-driven roster of role subagents (model + persona + tool filter), exposed to every session through the list_subagents and delegate tools, a /subagent command, and a Settings page.
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Delegate tasks to Google Antigravity CLI (agy) as a DSH subagent — no Gemini API key needed, uses your Antigravity login
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Delegate light subagent tasks to cheaper models: automatic Flash/Pro routing for DeepSeek Harness subagent calls, with /delegate overrides, budget caps, and a routing-ledger panel.
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DSH tool plugin: delegate a self-contained task to your local Claude Code subscription (via the official Claude Agent SDK).
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DSH subagent provider that delegates tasks to the OpenAI Codex CLI (codex exec), exposing the subagent_codex tool
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Delegate and monitor DeepSeek Harness work from any MCP agent.
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KiroCrew bridge for DeepSeek Harness: let your dsh agent delegate to a persistent, self-evolving KiroCrew workspace over ACP (JSON-RPC 2.0 over stdio).
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Custom reusable Subagent Definitions with a Settings page and one delegate_agent tool for DeepSeek Harness
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Open Eyes for DeepSeek Harness: delegate images to a configurable multimodal model through OpenAI Responses, Chat Completions, or Anthropic Messages.
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DeepSeek Harness (DSH) plugin that delegates coding tasks to the Claude Code and Codex agent CLIs and streams the whole run live — autonomous control, multi-account, automatic install, git worktrees, and any Anthropic-compatible endpoint.
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Automatic model routing for DeepSeek Harness: a virtual `smart` model classifies every request by difficulty (hard / normal / easy) and by vision need, then delegates to the models you already configured in Settings → Models. 内置智能路由:三级难度 + 视觉自动路由,模型从「设置-模型」已配置模型中选取,虚拟 smart 模型零配置接入。
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Vision for text-only DeepSeek Harness agents: delegate image reading to a one-shot subagent on a configurable vision route (MiniMax / Kimi / any OpenAI-compatible provider), keeping image bytes and the vision model's context out of the main session.
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dsh bundle: subagent_vision — delegate image reading to a vision-capable model from a text-only session, plus paste-to-path so pasted images reach the subagent as file paths.
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Delegation broker for DeepSeek Harness. 真实委派深度、角色衰减、并发预算、写入型 child 的 Git worktree,以及父任务验收后合入 patch。
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DeepSeek Harness provider plugin that delegates ChatGPT subscription access and agent execution to the locally authenticated Codex app server.
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DSH MCP manager — inspect, add, edit and remove MCP server configs in the profile patch; restarts are delegated to the host agent. · DSH MCP 管理器:查看/新增/编辑/删除 profile 中的 MCP server 配置,重启生效交由 agent 处理。
EricXu20266
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DSH runtime adapter for maestro-flow: guard, workflow context, KG sync, delegate notifications, team heartbeat, and coordinator bridge.
zhao-wuyan
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A bundle built on DeepSeek Harness that registers Claw Orchestrator as an ACP subagent provider — delegate a dsh subagent to a multi-engine council across Claude Code, Codex and Cursor.
Enderfga
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DSH 子代理模型插件:在 composer 底部(官方模型菜单左侧)增加「子代理模型」菜单,为子代理独立配置 provider/model/推理强度/档位(与「设置 -> Agent 预设」同源:官方内置 + 插件预置的 轻量执行/只读研究 注册为真实用户预设 + 用户自建预设);主 agent 模型仍走官方管理。注册 delegate_subagent 工具让子代理真正使用配置的模型与档位,解决官方默认 subagent 与主模型同源造成的资源浪费。
shenzhantu
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DSH skill manager — list, inspect, enable/disable skills on disk and delegate creation/editing to the host agent. · DSH 技能管理器:列出/查看/启用禁用本机技能,创建与编辑交由 agent 完成。
EricXu20266
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DeepSeek Harness 插件:规划/执行分离。主模型负责分析、规划与汇总,通过 delegate_execution 工具把执行工作委派给独立的执行子代理;执行子代理的模型、LLM 提供方、人格与工具范围在 Web 设置「规划与执行」分节配置(默认继承主模型)。子代理中间步骤永不进入主会话,最大化节约主模型 token。零构建依赖、纯 JS 即装即用:`dsh plugin --profile web add "github:mikuuuuuue/dsh-planner-executor"`。
mikuuuuuue
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Multi-agent orchestration for DeepSeek Harness: delegate, adversarial review, diverse explore, background runs + converge. One prompt. A team of agents.
ConradLu2740
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智能体选择器:像模型选择器一样在输入框旁勾选委派目标+具体模型,把对话任务派给外部智能体(Codex CLI / WorkBuddy 内置模型活动价 automation 桥 / WorkBuddy 自定义模型直连 / Claude Code)执行,结果流回 DSH 对话。含 agent_dispatch 工具 + composer 两步下拉 + 设置面板 + 桥健康探活 + 反冒充出处凭证。
jiang12345-code
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Let the user pick which provider/model drives each subagent when the AI delegates.
Anna-la