99 results
Eyes for text-only DeepSeek Harness agents: built-in free vision chain (no key) + pixel-level vision tools (Q&A, grounding, crop, pixel diff, colors, OCR, SVG trace, cutout, screenshots). One-command install, no Python, image turns work like ordinary tool-calling turns.
OpenRouter for tools - 2,896 agent-friendly tools, pay for the usage, not subscription
Complete reverse-skill (87 skills) as a DeepSeek Harness Cordis plugin — reverse engineering, authorized pentesting and security research skill router pack.
Omni - a reliability and orchestration control plane for DeepSeek Harness, designed to turn fast models into dependable long-horizon software-engineering agents.
Claude Science-style research workbench for DeepSeek Harness: ReAct research-loop engine (research_* tools), versioned artifacts with provenance (artifact_* tools), SSH remote-compute engine for long bioinformatics jobs on workstations/HPC (remote_* tools), and 11 science skills for genomics / pathogens / bioinformatics. Ships the tiered cross-provider model router via the companion dsh-model-tier bundle.
DSH-KRouter — Agent knowledge OS. Self-evolution. Timer on by default; your vault-page API key or logged-in CLI is the key. Cursor, Codex, Claude Code, DeepSeek Harness. No vector store.
A second brain for your DeepSeek Harness agent — strong-model review before risky tool calls, plus 75 models from one credential: a BlockRun API key, or a wallet paying per call over x402.
DSH agent preset 分发包：V4 Flash 神模式（opencode-go）——启动时自动把 router-flash preset 安装到 ~/.dsh/.agent-presets。
Model-selectable subagents and guided model routing setup for DeepSeek Harness
Route DeepSeek Harness agent requests by role: planner model in plan mode, default model otherwise, subagent model for subagents.
DeepSeek Harness plugin that uses configured model providers for image analysis and context compaction.
DeepSeek Harness plugin: OAuth / subscription-plan LLM providers (Grok, GitHub Copilot, OpenAI Codex, Anthropic, OpenRouter)
Thin routing policy for DeepSeek Harness: keyword routing, allowlisted model switching, and isolated image generation. / DeepSeek Harness 薄路由策略：关键词路由、白名单模型切换和隔离生图。
DSH plugin: a simplified 9router (AI routing gateway). Adds a 路由系统 (Routing System) sidebar entry beside 记忆系统; the panel shows suppliers, account pool, combos, and endpoint/API keys.
Multi-provider account balance display for the DeepSeek Harness Web GUI. Queries real billing APIs (DeepSeek, StepFun, Kimi Coding, OpenRouter, MiniMax, xAI) and shows balance/quota in front of the model selector. Providers without an API-level billing endpoint show a clear 'Balance unavailable' state.
DSH（DeepSeek Harness）插件：自动跟随最近 provider 的可拖动 API 余额与 Coding Plan 配额卡片，凭据仅在服务端使用
dsh-polyglot — the model switch for DSH: one generic OpenAI-compatible ctx.llm adapter, curated free/cheap DeepSeek provider presets, and automatic provider fallback when a free tier rate-limits you
Cortex — 低成本高质量多模型递归任务编排、模型评测与智能路由平台（DSH 插件）：任务画像/策略匹配/递归拆解/动态路由/四级质量门控/批量监督/恢复引擎/预算控制/策略沉淀/KPI
DeepSeek Harness 全能插件：识别/生图/改图一体化，无需切换模型——用常规 DeepSeek 模型即可自动调用视觉与生图模型（gemini_vision / gemini_generate_image / gemini_optimize_image）。多后端：Gemini 原生 + 任意 OpenAI 兼容服务（GPT-4o、Qwen-VL、GLM-4V、Moonshot、gpt-image、DALL-E、Flux、Stable Diffusion、OpenRouter、硅基流动、各类中转等），生成后自动视觉自检反馈，优于 modlens。
DSH model-facing delegation tool that routes continuable/one-shot subagents to a model-selected LLM provider and model
A portable coding lifecycle for AI agents with deterministic routing across 25 skills, durable state, mutation-aware verification, specialized skill packs, lifecycle hooks, DeepSeek Harness plugin & consumed web UI, and an optional local request proxy.
Delegate light subagent tasks to cheaper models: automatic Flash/Pro routing for DeepSeek Harness subagent calls, with /delegate overrides, budget caps, and a routing-ledger panel.
DeepSeek Harness 小白零门槛零费用套件：4个永久免费模型一键接入（智谱/硅基流动/讯飞星火/OpenRouter）、免费模型智能路由（自动测速优选最快）、DeepSeek 计价时段提醒、在线帮助中心。
Coding-plan quota and balance readout for the DSH composer toolbar: MiniMax, DeepSeek, Kimi, OpenRouter and Zhipu windows follow the selected model; API keys are reused from DSH model settings.