@modusensus/dsh-mneme
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
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Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
Read-only security & compliance toolkit for DeepSeek Harness: prompt-injection detection (rule engine with a pluggable model classifier), Chinese-PII and structured-JSON redaction, and a local configuration security audit that emits redacted, reproducible, self-checksummed risk reports.
Deep reading & summarization for DSH: books/papers/videos/web → structured Obsidian notes. Plugin parsers, MapReduce deep-read, JSON Schema output, idempotent cache.
Cordis /hongtou command: two-phase pipeline (LLM structured JSON + deterministic Word 2003 XML template rendering)
Unofficial Plannotator integration for DeepSeek Harness: annotate plans inline and return structured feedback to the waiting coding agent
Generate and display images inline in the DSH chat via API channels or local CLIs (mmx / codex / agy), and read images into structured JSON evidence (OCR / layout / semantics) on any model — with backend probing and a bundled recovery skill.
Feynman learning-mode plugin for DeepSeek Harness: /learn on|off, structured lesson cards, rich HTML teaching.
Prompt enhancement for the dsh web GUI: rewrite the composer draft into a well-structured prompt through the harness LLM service, preview the before/after, then fill back, copy, or undo. Original draft is always preserved.
DeepSeek Harness web notifications for approvals, structured questions, and task outcomes.
DSH diff tool: structured comparison of text/JSON/CSV/Markdown plus unified diff generation and in-memory patch validation. Zero-dependency, read-only.
One-way structured conversation, project, MCP, memory, and context migration between Codex and DeepSeek Harness. Codex 与 DSH 的单向结构化迁移插件。
Agent trajectory governance & anomaly diagnosis for DeepSeek Harness: rebuild structured multi-branch trajectory trees from the session/event feed, keep observation-layer snapshots, and run three temporal anomaly strategies (loop deadlock / invalid retry / goal drift).
Structured, safe Git tool family for DeepSeek Harness: status/diff/log/branch/stage/commit/stash/show/fetch/pull/remote/checkout with a destructive-command guard.
Structured long-term memory system for DeepSeek Harness -- unit-based brief/full pairs with auto-injection
DSH plugin: connect to a NebulaGraph 5.0 server and execute GQL queries, returning results as structured rows plus an ngql-style table render. Bundles the gql-query-generator skill.
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
A structured multi-panelist review workflow for the DeepSeek Harness: N panelists score in isolated subagents blind to each other, a chair reconciles disagreement, an independent critic audits the process.
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.
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
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).