@beforewave/dsh-with-chatgpt
Primary DSH entry for using ChatGPT with local code, Agent Helm engineering capabilities, and native DSH sessions.
24 results
Primary DSH entry for using ChatGPT with local code, Agent Helm engineering capabilities, and native DSH sessions.
Expose DeepSeek Harness agent capabilities as an MCP server, so an external MCP client (e.g. Hermes) can drive Harness to execute coding tasks. Hermes = brain, Harness = arms.
Per-model capability declaration for DeepSeek Harness: reasoning-effort levels (with wire spellings) and request modalities (text/image) for OpenAI-compatible providers — one settings section, no YAML hand-editing.
Enterprise workbench capabilities for the DeepSeek Harness — AI employees, knowledge bases, skills, MCP servers and plugins, all managed from local state
dsh plugin: browse and manage project-level and global capabilities (skills, MCP servers, …) from the web GUI
DeepSeek Harness native plugin: vision capabilities for text-only LLMs (describe, OCR, VQA, layout analysis, clipboard)
Explicit model input-modality selection for the DeepSeek Harness Web UI
DSH plugin adapter of catalog-capabilities-zh: curated Chinese capability catalog; orchestrates DeepSeek Harness plugins/skills installation and documentation from user-selected or manually provided sources.
DSH plugin for DeepSeek Harness: 25 model tools across PubMed, Europe PMC, OpenAlex, PubTator3 & Semantic Scholar — cross-source unified search, article metadata, full text, citations, MeSH & ID tools, citation counts & recommendations — plus a personal literature knowledge graph with an AI-powered PubTator3 concept layer (normalized entities, curated relations, evidence-backed edges). Core PubMed capabilities originate from @cyanheads/pubmed-mcp-server; the knowledge-graph, concept and unified-search layers are original extensions.
DeepSeek Harness plugin that enhances custom provider setup by auto-discovering models and auto-populating contextWindow, maxTokens, vision, and reasoning capabilities from models.dev
Expose DeepSeek Harness agent capabilities as an MCP server, so an external MCP client (e.g. Hermes) can drive Harness to execute coding tasks. Hermes = brain, Harness = arms.
3D printing & additive manufacturing capabilities for DeepSeek Harness: parametric STL generation, calibration G-code, STL/G-code analysis and toolpath rendering as model tools, plus slicing / modeling / analysis / diagnosis knowledge skills.
Inspect and manage the skills, tools, and MCP capabilities available to a DeepSeek Harness agent session.
DSH plugin with curated reasoning capabilities and per-provider/model effort defaults for llm-pi-ai models.
Tailscale Serve authentication adapter for dsh Connection
Per-model reasoning-effort and vision capability editor for DSH pi-ai provider profiles.
Fill custom-provider model capabilities from https://pi.dev/api/models
Zhipu BigModel capabilities for the DeepSeek Harness in one plugin: web_search_prime search provider, webReader fetch provider (server-side rendered), and GLM-4.6V vision (vision_analyze tool + pasted-image pre-step hook), all behind one ZAI_API_KEY
Configure model input capabilities and reasoning efforts for DeepSeek Harness
Manage skills and MCP servers from the Web UI Settings. 在设置页管理 dsh 的技能与 MCP 服务器。
Ming 智能助手 - 用自然语言一键调用 Harness 原生能力,真正完成任务并产出文件
DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.
Static trust audit for DeepSeek Harness plugins: capabilities, injected prompts, token cost, provenance, and a reproducible 0-100 trust score
Automatic reasoning and image capability detection for custom DeepSeek Harness models