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kimi-tide

DeepSeek Harness Models & Providers Low risk

Per-step model router: named presets with ordered image/keyword-group rules route each agent step across every mounted provider and model, adding collaboration flows for image transcription, an image guard, a multi-plan quota panel, and per-step decision observability.

逐步模型路由器:以命名预设与带图/关键词组有序规则为每一步在全部已挂载模型间选路,附图像转述协作流、图像护栏、多 plan 配额面板与逐步决策可观测。

How to install

DeepSeek Harness dsh plugin add github:tafcear/kimi-tide/tree/main/packages/dsh-kimi-tide

Recommendation signals

48 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
48 Overall
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0unique visitors
0install copies
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Meta

License
MIT
Language
TypeScript
GitHub stars
6
mo. downloads
–
Last push
2026-09-15
Created
2026-08-14

Links

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:awesome-dsh-plugin.com
Topics
deepseek, deepseek-harness, dsh, dsh-plugin, kimi, kimi-code, llm-router, model-routing, moonshot, provider-agnostic

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