754 results
Terminal-style input history for the DeepSeek Harness web composer: edge-first arrows with exact draft/caret restore, browser-local persisted history, Ctrl+R reverse search, workspace-scoped recall, and fully configurable keys — plus sliding-context awareness (compaction summaries join recall/search, a compaction notice with one-click /compact fill) layered on the ordinary composer draft only.
Evidence-first research workflow with durable state and a Web workspace
Archived sessions viewer for DeepSeek Harness: list archived conversations and restore them from the Web settings — no DSH core is modified.
Firecrawl-backed search and fetch providers for the DeepSeek Harness web capability seam (ctx.web)
DSH Archive Manager - preview, restore, and delete archived sessions from the settings page
Unified OpenAI Codex subscription plugin for DeepSeek Harness: GPT models, OAuth, quota, image generation, and web search.
One DeepSeek Harness Codex capability bundle for ChatGPT login, LLM access, Web Search, and durable Image Creation
Connect DeepSeek Harness (dsh) to a local Obsidian vault: search, read, write, move, and trash notes.
Tavily settings backend for the DeepSeek Harness: usage endpoint, flat key-list manager with usage strategies, and the web_search on/off toggle.
Zotero tools for DeepSeek Harness: search your library, read item metadata, list collections and attachments, download PDFs and attach notes via the Zotero local API.
Replace dsh's built-in web search with search MCP servers (Tavily / Brave / Exa / Perplexity / DuckDuckGo / custom), configured from the web Settings page. When this plugin is enabled the built-in DeepSeek search provider is disabled.
DSH 设置面板会话管理器：归档 / 恢复 / 彻底删除 / 移动到其他工作区，带工作区标签与会话日期；统一「会话管理」面板。Session manager for the DeepSeek Harness settings panel — archive / restore / permanently delete / move sessions across workspaces, with workspace tags & session dates in one unified panel.
DuckDuckGo web search and fetch tools for DeepSeek Harness. Zero Python dependency — search is pure Node, fetch uses @mozilla/readability with optional trafilatura fallback for better extraction.
面向 DeepSeek Harness 的长篇网络小说写文引擎插件：独立 DeepSeek key 分流并行生成（起草/润色/同步/子代理四通道）、多书隔离（一个工作区=一本书）、弹性合同体系（故事承诺书/追读力台账/五段任务书/硬关卡）、章后八项体检（含节奏信号与 AI 味检查）、起点+番茄双平台审稿、发书前敏感自查、语义检索（概念索引）与饲料区书库管理。
Explorer, Monaco editor, search and local Git overlay for DSH
Embedded C/C++ firmware development toolbox — 4 agents, 8 skills covering FreeRTOS, ISR, NVM storage, Keil MDK, ARMCLANG, HardFault, state machines, architecture, LVGL patterns, and claim fact-checking. Ships a native DeepSeek Harness (dsh) bundle that injects the session-start gate into the first model step.
Search, favorites, branching, and personalization for the official DeepSeek Harness turn navigator
MiniMax multimodal bridge for DeepSeek Harness (DSH). One mmx_bridge tool covers describe/image/video/speech/music/cover/search/quota; optional web_search/read_image takeover; built-in client enhancement renders inline players/previews plus a settings-page management card in the Web GUI.
DeepSeek Harness network-proxy plugin: route the agent's own network requests (web_search / web_fetch / external APIs) through a configured HTTP/HTTPS-CONNECT/SOCKS5 proxy, persisted and auto-applied at startup, with a settings UI.
A reproducible science workbench plugin for the DeepSeek Harness: agent-driven cells, inline figures with feedback/rerun, manifest provenance, and environment snapshots.
An in-process trigram index that makes code search in Pi and DeepSeek Harness 20-90x faster than ripgrep, with identical results.
DSH skills manager + SkillHub marketplace: manage user-level/per-workspace skills and search/install skills from SkillHub in a Web UI panel
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.
Persistent project memory for dsh agents: index docs (PDF/Markdown/text) and code symbols into a searchable per-workspace store, recall them with cited sources, and keep experience entries (problems -> solutions) searchable on demand.