dsh-agent-sync: Sync local AI agents' MCP servers and Skills to DeepSeek Harness
`dsh-agent-sync` is an MIT-licensed plugin for DeepSeek Harness (DSH) designed to eliminate redundancy for pre-configured MCP servers and Skills from other local AI agents within DSH. Supporting over 20 AI agents, its core functions include automatically scanning local configurations, writing MCP servers to DSH profiles with a single click, and copying or linking Skills to global or workspace directories. The plugin provides comprehensive MCP and Skills management capabilities, such as enabling/disabling, deleting, grouping, migrating, and manual addition (supporting multiple file formats). Through its settings, the plugin allows users to configure the synchronization method (copy/link) and target profiles.
Read Moredsh-llm-agy: An AGY Agent Enhancement Engine for DeepSeek Harness
flg1217/dsh-llm-agy is an MIT-licensed plugin for DSH designed to extend DSH's capabilities by integrating AGY (Antigravity CLI), enabling seamless upgrades without modifying the dsh source code. The plugin requires Node.js ≥ 20 and dsh >= 0.1.0-rc.6, with the AGY CLI pre-installed. Its core features include: 1. Independent reasoning sub-agents, allowing specific tasks (such as frontend/UI) to be delegated to AGY by setting `agentOptions.provider: 'agy'`, with a `list_agy_models` tool for querying available models; 2. Deep web search, after configuring `searchProvider: agy`, `web
Read Moredsh-model-router: A Thin Routing Strategy Plugin for DeepSeek Harness (DSH)
dsh-model-router is a thin routing policy plugin for DeepSeek Harness (DSH), version v0.2.2, licensed under the MIT License. It adds rule execution on top of DSH's existing model management, with core features including deterministic keyword routing, the whitelist-based model switching tool `model_route` that is disabled by default, and an isolated Beta image generation channel `image_gen`. Routing rules are executed in configuration order, stopping at the first match, while preserving the current state if no rule matches; model switching requires precise validation of provider, model, and other fields. `image_gen` uses an OpenAI-compatible endpoint, enforces HTTPS and strictly restricts result downloads, and supports integration with third-party services such as Seedream; however, video, audio, and 3D features are not included.
Read More