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dsh-swarm-router

DeepSeek Harness Models & Providers Low risk

Sub-agent matrix swarm that routes heterogeneous tasks to the most suitable model from an OpenRouter-like gateway plus cfgpu.com/llm/square, dispatches each via in-process subagents or direct LLM calls, and tracks per-model token consumption with a feedback-driven ranking.

子智能体矩阵蜂群:把异质任务路由到最合适的模型(OpenRouter 类网关 + cfgpu.com/llm/square),通过进程内子智能体或直接 LLM 调用下放,并按模型统计 token 消耗、用真实反馈驱动排名。

How to install

DeepSeek Harness dsh plugin add github:r600a-code/dsh-swarm-router

About

dsh-swarm-router English | 中文 A DeepSeek Harness **bundle** that turns a batch of heterogeneous tasks into a **sub-agent matrix swarm**: it routes each task to the most suitable model from an OpenRouter-like gateway plus the cfgpu.com/llm/square catalog, then dispatches each assignment in parallel as a real in-process subagent (or a direct ctx.llm call) pinned to that model — quick tasks land on fast/cheap models, hard tasks on strong reasoning models. A formal design write-up lives in docs/PAPER.md. **子智能体矩阵蜂群**:任务是行、候选模型是列,路由器为每一行选中一格,再通过 DSH 的 ctx.subagents 把每格变成一个绑定到所选模型的子智能体并行下放,按任务难度匹配模型…

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Meta

License
MIT
Language
JavaScript
GitHub stars
1
mo. downloads
Last push
2026-08-16
Created
2026-08-15

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
cfgpu, deepseek-harness, dsh-plugin, llm-routing, subagent, swarm

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