16 RESULTS · “model”
v0.5.21 · MIT
Automatic model catalog synchronization for API-key DeepSeek Harness providers.
v0.1.0 · MIT
Install Desert Ant Labs on-device models as DSH tools and skills, with per-platform capability gating
v0.25.5 · MIT
Model Router and GALGame plugin for DeepSeek Harness
DeepSeek Harness bridge plugin: exposes the newest Zhipu/Z.AI coding-plan models (e.g. glm-5.3) on the zai-coding-cn route before the bundled pi-ai catalog catches up.
v0.7.9 · MIT
将 WorkBuddy 桌面 App 包含的模型自动接入 DeepSeek Harness,零配置使用。Bring the models in the WorkBuddy desktop app into DeepSeek Harness with zero configuration.
v5.15.2 · MIT
Connect locally signed-in WorkBuddy models to DeepSeek Harness with a read-only credits overview and model management.
v4.6.11 · MIT
Connect locally signed-in Trae models to DeepSeek Harness with a read-only credits overview.
v0.2.8 · Apache-2.0
Fusion for DeepSeek Harness: a frontier Lead plans and reviews, a much cheaper Sidekick writes the code — frontier results at a discount.
v0.2.19 · Apache-2.0
Local-model (Ollama) integration for DeepSeek Harness: discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama.
v2.4.6 · MIT
把你能白嫖的模型额度接进 DSH 同一个池:WorkBuddy 多账号自动容错、十三家扫码登录、76 家免费额度聚合、用量看板、模型路由、本地 OpenAI 网关、积分自动化。
v1.8.4 · MIT
把 WorkBuddy 桌面 App 里登录过的所有账号(国内版和国际版都支持),合成一个 DSH 模型池。你在 WorkBuddy 里登过几个号,池里就有几个号——不用手动填表,不用一个个录入。 哪个号被限流了、积分用光了,请求自动换到下一个能用的号上去。你只管问,剩下的它自己处理。 另外附送一整套「积分自动化」:签到、领任务奖励、连登兑换、开猫猫旅行……这些每天都要手动点一遍的活儿,插件在后台替你干完了。
v1.16.4 · MIT
把 Qoder(通义灵码国内版 / 国际版)接入 DeepSeek Harness:PAT 多账号池、每日签到、积分读数与模型管理。
v0.5.1 · MIT
DeepSeek Harness plugin for previewable cross-preset session migration. Fixed-schema handoffs preserve state, source-model intent, and unresolved images; the original session stays untouched.
v1.2.0 · MIT
DeepSeek Harness (DSH) 插件:在模型读取前撤回已发送的文字消息,支持单条与全部撤回。A DeepSeek Harness plugin that recalls sent-but-unread text messages before the model reads them — one-by-one or all at once.
v0.6.22 · MIT
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.
v0.4.20 · Apache-2.0
Cost governance for DeepSeek Harness: aggregated token/cost metering per model, session and day, session/daily/monthly budget caps with threshold alerts (desktop notification + webhook) and alert/block/degrade over-limit policies, built-in carbon footprin