dsh-swarm-router

A DeepSeek Harness bundle (installable plugin) that adds a sub-agent matrix swarm: give it a batch of heterogeneous tasks, and it (1) routes each task to the most suitable model from an OpenRouter-like gateway plus the cfgpu.com/llm/square model catalog, then (2) dispatches each assignment in parallel as a real in-process subagent pinned to that model — so quick tasks land on fast/cheap models and hard tasks land on strong reasoning models.

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， 然后通过 DSH 的 ctx.subagents 蜂群把每格变成一个绑定到所选模型的子智能体并行下放， 达到“按任务难度匹配模型、省时提效”的目标。

What is in the DSH plugin marketplace today

DSH's extension surface is "everything is a plugin", and it ships three intertwined mechanisms rather than one app store:

1. Bundles — npm packages that declare "dsh": { "bundle": { "patch": "./cordis.patch.yml" } } and contribute a configuration layer. Installed into a profile with dsh plugin --profile add ; a profile composes them in order. In-box bundles: @deepseek-ai/dsh-base, dsh-web-app, dsh-headless. Discoverability for third-party plugins is the GitHub topic dsh-plugin (e.g. turtle-ui).
2. Skills — installable task-instruction packs (dsh skill) loaded by the skill capability + a catalog/loader tool; find-skills discovers them.
3. MCP / examples overlays — --patch overlays (the examples/ leaves: headless-agent, acp-agent, jsonrpc-agent, mcp-memory, web-cordis, web-schedule).

There is no central hosted registry yet — the "marketplace" is npm packages

• the dsh-plugin GitHub topic + skills, composed per profile. This bundle is an author-side contribution to that ecosystem.

What this bundle adds

Layer	Row	Effect
llm-pi-ai override	cfgpu-swarm, routes