@lujianjun19/dsh-llm-github-copilot
GitHub Copilot adapter for the DeepSeek Harness LLM seam: OAuth device-flow sign-in, Copilot token exchange, and OpenAI-compatible chat completions against api.githubcopilot.com
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GitHub Copilot adapter for the DeepSeek Harness LLM seam: OAuth device-flow sign-in, Copilot token exchange, and OpenAI-compatible chat completions against api.githubcopilot.com
Tavily for DeepSeek Harness: opt-in advanced Tavily model tools (search, extract, map, crawl), multi-key management, usage gauge, and the Tavily Search settings card. The built-in web_search is never replaced.
Cline free models provider for dsh: scan the Cline model catalog dynamically and serve the :free models through the harness LLM seam
Zero-config Exa web search provider for DeepSeek Harness (dsh): keyless anonymous MCP fallback (mcp.exa.ai/mcp) plus keyed REST search — a drop-in WebSearchProvider for the ctx.web seam, no API key required.
DSH 免费网页搜索 provider + 设置开关(Parallel 默认 / Exa 备用)+ MCP server 双传输(stdio + HTTP/SSE),兼容 Claude Code / Codex,一键切换官方计费搜索与免费搜索
A searchable, sortable model picker for the DeepSeek Harness Web UI — provider groups, favorites, live per-task cost, prices and context windows.
A general-purpose knowledge base plugin for DeepSeek Harness (DSH): import documents (md/txt/json/yml/docx/pdf), organize them in folders, and search with FTS5. 通用知识库插件:文件导入、目录化管理、全文检索、知识库管理 UI。
Persistent long-term persona memory for DeepSeek Harness: MEMORY.md/USER.md storage, memory + memory_search tools, per-request context injection, secret scanning, and a WebUI memory-management settings page. Ported in spirit from pi-hermes-memory. TypeScript sources, built with tsc + esbuild.
dsh-skillport — every skill you already have (Claude Code, Codex, Cursor, Gemini CLI) works in DSH: Agent Skills SKILL.md discovery across .claude/.agents/.dsh/.gemini + extraPaths, Tier-2 conversions (cursor rules, claude commands, context files), find_skill search, and a skills doctor
OpenCode Zen provider adapter for DSH harness LLM seam
SearXNG-backed search provider for the DeepSeek Harness web capability seam (ctx.web)
DeepSeek Harness 的 TencentDB Agent Memory 移植:L0 对话捕获 → L1 结构化记忆提取 → L2 场景/L3 画像,自动召回注入 + 记忆/对话搜索工具;复用现有 ~/.memory-tencentdb/memory-tdai 数据;附 Web UI 设置栏。
MCP 与技能管理面板:设置页展示 MCP 服务器与 Skill 目录,随时启停释放上下文占用;可选 AI 中间层(mcp_search/mcp_call)按需使用 MCP。
Modular AI research/engineering skill pack for DeepSeek Harness — security audit, paper workflows, dev workflow, storage analysis. Installable via dsh plugin add.
Question-Driven Discovery CLI
Windows XP Luna desktop theme for the DeepSeek Harness web GUI: floating window manager with taskbar and desktop icons, Explorer-style workspace/session browser, native directory picker, search and the Luna token palette.
Configurable SearXNG, Brave, Tavily, Gemini, and Wikipedia search provider for DeepSeek Harness
Free web search plugin for dsh supporting firecrawl and tavily
Search dsh.fish and install any harness artifact from inside your agent, authenticated with your hub account.
Xiaomi MiMo search + multimodal tools for DSH agents: mimo_search/vision/audio/video/asr/tts.
dsh bundle: register ywleeo/browser-mcp (a local MCP server driving a real Chrome to search, capture, and automate any logged-in site) as native dsh MCP tools (mcp__browser__*).
Unified agent memory for DeepSeek Harness — one shared Obsidian vault for every agent (dsh, Codex, Claude, Hermes). Ships the dependency-free Python core (search/promote/adjudicate/forget), a vault template, and a dsh plugin with memory_search / memory_show / memory_submit / memory_status tools. · 统一 Agent 记忆系统:多 Agent 共享一个 Obsidian vault,附零依赖 Python core 与 dsh 插件。
Obsidian side-panel math memory agent for DeepSeek Harness: layered long-term memory, idea memo with proactive review reminders, unified note_recall retrieval plus dedicated note search/create/backlink tools. Ships as both a dsh plugin and an Obsidian community plugin.
RigorQuant for DeepSeek Harness: session-scoped unattended, context-isolated multi-agent research for empirical/computational mathematics with a four-part pre-implementation check battery and a jacobian/Lean escalation lane.