DSH Plugin | Models Reasoning for DeepSeek Harness Plugin
Free Models & Reasoning DSH Plugin for DeepSeek Harness: browse, search, download, install third-party models, routing, cost. Verified, traceable sources.

DSH Plugin Hub is a community plugin marketplace for DeepSeek Harness (DSH plugin), built to the official plugin spec and embedded in Settings → Plugin Market. Browse, search and one-click install human-curated community plugins without leaving the app, synced daily with dsh-plugin.org.

Mounts a no-login, no-API-key free frontier model channel into DeepSeek Harness, ready out of the box, with a local usage dashboard and an OpenAI-compatible forwarding port.

A DeepSeek Harness plugin bundle shipping ten authorized red-team research modes plus seventeen runtime plugins, using workflow gates and skills to cover pentesting, code audit, evasion and incident response.

Use ChatGPT, Claude, and Grok subscriptions as LLM providers in DeepSeek Harness, no API keys, with OAuth login and usage tracking.

A DSH plugin for session cost metering: real-time session/daily cost, budget, balance, Coding Plan quota, peak/off-peak pricing alerts, and Codex-like token heatmap, with bilingual UI.

Unofficial DeepSeek Harness LLM provider plugin for Command Code with live model catalog, reasoning-effort support, multi-account rotation, and Models-page card.

Bring models from the WorkBuddy desktop app (GLM, DeepSeek, Kimi, etc.) into DeepSeek Harness with zero configuration, selectable directly in DSH chat, with account and credit info.

A DSH plugin that precisely monitors DeepSeek usage and balance, visualizing costs with whale animations, peak/off-peak billing, and three-level fee statistics.

TokenLedger provides zero-config token usage accounting for DeepSeek Harness, attributing usage to the relay site that served each request, with no credentials needed to view usage, balances, and subscription quotas.

A DSH plugin for the DeepSeek Harness Web GUI that tracks multi-provider balances, subscription quotas and token usage, with cost estimates, budget alerts and CSV/JSON export.

Connect ChatGPT OAuth to DeepSeek Harness for OpenAI Codex models and image generation, retaining native streaming, tool calls, and approvals.

A DSH plugin that lets you use your ChatGPT/Codex subscription directly in DeepSeek Harness, with models, quota, search, and image tools—no API key or Codex CLI needed.

A persistent dock and customizable balance/usage panel for the DeepSeek Harness Web GUI, featuring activity heatmap and dual-channel comparison, local-only and privacy-first.

DSH plugin for Provider login, model switching, vision fallback, token/cost analytics, and same-port Web restart.

dsh-agy-link integrates Google Antigravity models into DeepSeek Harness with multi-account pooling, official quota monitoring, one-click OAuth login, and streaming output via the native agy CLI.

Dockyard DSH is a native account-pool plugin for DeepSeek Harness, aggregating official OAuth sessions from Codex, Antigravity, Grok, Claude, Cursor, providing unified model catalog, quota status, and provider-native request entry.

DeepSeek Harness control center for live balance and usage monitoring, peak/off-peak pricing alerts, encrypted multi-account switching, health checks, recharge, and session controls.

A control center for DeepSeek Harness that monitors balance, usage, and peak/off-peak pricing, with encrypted multi-account switching, health checks, recharge reminders, and session controls.

dsh-codex lets DeepSeek Harness use a ChatGPT subscription via OpenAI's Codex sign-in flow, no API key required, enabling Codex models, streaming, and tool calls.

A DSH plugin usage-billing dashboard: aggregates real usage from session logs, estimates costs with live multi-provider pricing, and surfaces it all in a sidebar card and full-screen dashboard.
How to pick a trustworthy Models & Reasoning DSH plugin
A Models & Reasoning DSH plugin plugs into and tunes the DeepSeek Harness thinking engine — third-party model adapters, routing strategy, inference parameters and cost control, the brain layer of the plugin ecosystem. It decides which brain your agent thinks with, so check model compatibility, routing and cost control, and compatibility status to balance capability against budget.
- Model compatibility: confirm the plugin supports your model providers and inference protocols (e.g. OpenAI-compatible APIs) and that your DSH version matches.
- Routing and cost: whether it routes tasks to different models, enforces usage limits and falls back on failure — this drives cost and stability.
- Compatibility status: model plugins couple to DSH's inference interfaces — prefer verified plugins whose dshTarget matches to avoid reasoning-chain issues.
Where Models & Reasoning sits in the DSH taxonomy
Models & Reasoning is one of the eleven primary DeepSeek Harness categories, owning the thinking engine: third-party model adapters, routing strategy, inference parameters and cost control. It is the brain layer of the whole plugin ecosystem — Sessions & Messages, Skills & Agents and Tools & Capabilities all run on top of it, so model choice sets the ceiling for every downstream capability.
「Every part of the product is a plugin — including the model adapter, the tool registry, the session log, and the agent loop itself.」
SourcesOfficial site·Architecture docs·Repository
Related Terms
- Models & Reasoning DSH Plugin
- A Models & Reasoning DSH Plugin plugs into and tunes the DeepSeek Harness thinking engine — third-party model access, routing, fallback, cost control and usage monitoring — the brain layer of the ecosystem.— DeepSeek Harness architecture docs
- Model routing
- Model routing is a model plugin's dispatch of requests by task type — cheap models for simple Q&A, stronger models for complex reasoning — balancing quality and cost.— DeepSeek Harness architecture docs
- Model fallback
- Model fallback is a model plugin's automatic switch to a backup model when the primary fails or hits limits, keeping the reasoning chain alive.— DeepSeek Harness architecture docs
- Cost control
- Cost control is a model plugin's budget management for inference usage — caps, quotas and routing strategies that keep token spend inside budget.— DeepSeek Harness architecture docs