100 results
Academic writing toolkit for DeepSeek Harness agents: paper outlines, title/abstract skeletons, GB/T 7714 / APA / MLA citations and reference lists, LaTeX snippets, structure checks, term glossaries, phrasing QA, and a pre-submission checklist
通用文档中心（Universal Document Center）— DeepSeek Harness 文档预览/编辑/管理插件（静态包形态：lib/index.js host 外壳 + lib/client.js 浏览器 bundle）
Kubernetes (kubectl) integration for DeepSeek Harness: inspect clusters, get/describe resources, read logs, port-forward and run one-off commands — with structured JSON output that agents parse reliably.
Timeout guard for ask_user_question: a lost or unanswered question resolves as a structured ASK_TIMEOUT instead of hanging the turn forever
CI doctor plugin for DeepSeek Harness: watch GitHub Actions failures, diagnose logs into structured findings, and drive the fix loop
Host-level vision bridge for text-only models: analyze_image tool (Ollama local / Xiaomi MiMo cloud / any OpenAI-compatible endpoint) returning structured evidence.
DSH plugin: parse current session history into editable structured mind maps and export Markdown, Mermaid, PlantUML, XMind text, and TODO briefs.
Local-first vision for text-only DeepSeek Harness agents: route image understanding to a local OpenAI-compatible vision model, return structured JSON evidence (summary / OCR / layout / semantics / visual / uncertainty).
Structured, machine-readable CI output for DeepSeek Harness (dsh): session event capture with JSON/NDJSON reports, JUnit XML, semantic exit codes, artifact collection and privacy redaction. Ships as a dsh profile bundle and a standalone CLI.
Reasonix-style cache-aware compaction backend for DeepSeek Harness (DSH). Replaces/enhances compaction-basic with compact_ratio, one structured summary checkpoint, and a stable recent tail.
Infrastructure as Code (Terraform) integration for DeepSeek Harness: plan/apply/diff, state inspection, output querying and resource listing.
Leaderless flat agent teams for DeepSeek Harness: cross-window structured task dispatch, recorder service, and web dashboard
DeepSeek Harness plugin: outline and lint Markdown document structure (heading tree, level skips, duplicate headings, unclosed code fences).
DSH standard vision skill: Qwen dynamic-resolution preprocessing + OpenAI-compatible VLM chain with failover/429 backoff, structured evidence mode, local tesseract-first long-screenshot OCR, paste-to-path (no framework patch). 8 tools + runtime skill.
One-click health check for a dsh deployment: a sidebar button runs the ops kit's check-health.ps1 (hidden PowerShell) through a plain HTTP route and renders a structured report. The route is independent of the tool registry, so the button still works when agent tool calls break.
Agent governance suite for DeepSeek Harness (enterprise companion): policy-based tool gating (allow/deny/ask), structured JSONL audit trail, and per-agent token quotas against the host token meter — state under $DSH_HOME/gov
DSH-Plugin: durable agent memory core — mem_save / mem_search / mem_health tools backed by the DSH storageDomain (durable, survives restarts), plus a 記憶 view tab.
Conversation outline tab for dsh-better-sidebar: per-turn structured outline with quick jump and one-line LLM titles in the DSH WebUI | DSH WebUI 右侧边栏对话大纲：按轮次结构化展示会话并一键跳转，每轮用 LLM 生成一句话标题
DeepSeek Harness web plugin — upload files and folders straight into the conversation (no workspace copy needed): images attach as real image blocks, text content is written into the composer, folders land under ~/.dsh/uploads by directory structure
DSH-Plugin: structural observability layer — real tool/skill usage recording (tools/result), skill-catalog audit, and a watchdog with health/error events. No model self-reporting.
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
dsh-docker — typed, guarded container control for DSH: structured docker/compose tools, project-aware targeting, an approval gate for destructive ops, service-health context, and a replayable status-table renderer
Cloud-backed cross-session memory for DeepSeek Harness: structured entries + vector retrieval persisted to S3-compatible object storage (AWS S3 / MinIO / R2 / OSS), with local cache projection, approval-gated writes and auditable trails
Git-backed long-term memory for DeepSeek Harness: a local .mem git repo (single main branch, immutable entries, structured commit messages) with mem_search / mem_read / mem_write / mem_delete / mem_replace tools and fully automatic legacy migration (no CLI needed; the CLI remains for explicit control), auto-managed by the root agent with zero manual steps.