Agent 협업 · DeepSeek Harness 플러그인 — 263 페이지

DSH plugin bridging agents to the Xcode headless MCP service (xcrun mcpbridge) over stdio JSON-RPC, exposing Xcode build/test/preview/simulator tools as agent tools. Zero runtime dependencies.

DSH MCP manager — inspect, add, edit and remove MCP server configs in the profile patch; restarts are delegated to the host agent. · DSH MCP 管理器：查看/新增/编辑/删除 profile 中的 MCP server 配置，重启生效交由 agent 处理。

Convert Office documents (.doc/.docx/.xls/.xlsx/.ppt/.pptx) and PDFs (incl. scanned, via local OCR) to structurally-formatted Markdown, powered by MarkItDown. CLI + dsh agent tool.

Media Forge: agent + skills workflow for media-generation APIs, with a sidebar panel for loading saved generation skills into a conversation

Plan and execute Atlas Cloud image, video, audio, and 3D workflows in DeepSeek Harness.

DSH 多 Agent「会议室」插件：会籍（会议室）+ fork 上下文入场 + 主持人控场多轮讨论 + 会后各自压缩并回到工作区继续工作。基于 dsh-std 元协议。

DSH plugin: meme/reaction picker for DeepSeek Harness agents. No memes, no soul. Picks the right reaction image from the kagura-agent/memes library at runtime — semantic tag matching over 26 categories.

MEMFLOW memory framework for DeepSeek Harness — distributed memory architecture: every project carries its own memory/, one plugin for Hermes-like memory across all your workflows

Memo — session memory search for DeepSeek Harness agents: cross-session full-text recall (memo_search), distilled notes (memo_remember), and corpus stats (memo_stats) over the official sessionQuery service. Zero infrastructure, local-first.

DeepSeek Harness dual-ledger cross-session memory: auto-extracted long-term facts (MEMORY.md) plus a living project progress ledger (PROGRESS.md), recalled into every new session.

Layered file memory for DeepSeek Harness: global snapshot injection, workspace notes, session recall, post-compaction flush, and a bundled usage skill

DSH memory plugin: RRF multi-lane recall / confirm-based writes / Fernet vault / session harvest（DSH 记忆插件：五路 RRF 召回 / 确认制写入 / Fernet 加密库 / 会话转录）

Cross-session long-term memory for DeepSeek Harness: a schema-validated memory domain over ctx.storage plus model-facing remember/recall/index/forget tools and a memory protocol prompt section.

Session-end memory for DeepSeek Harness: distils each turn's new dialogue into durable notes, then recalls the global set plus the current workspace's in a per-agent prompt section.

DSH 长期记忆增强插件：文档索引 + 语义检索 + 跨会话 KV 记忆（agent 工具）

Persistent long-term memory plugin for DeepSeek Harness (dsh): single memory tool, markdown storage, auto session summary, curator governance, user-profile injection.

Long-term memory for DeepSeek Harness agents: user preferences, project facts, session summaries, and knowledge entries, with auto-injection at session start.

DeepSeek Harness 内嵌的本地四层记忆浏览器

Layered, auto-injected cross-session memory for AI coding agents: a DSH plugin plus a standalone zero-dependency CLI. Borrows the spec/change/archive discipline from OpenSpec (MIT), but pushes instead of pulls.

为 DeepSeek Harness 带来分层记忆（全局 / 用户 / 项目 / GIT 分支 / 每日）与自我进化（经验沉淀 + 技能自动创建）和技能管理、待办管理、CLI 调度（kimi/codex/grok/hermes 等外部 AI 统一调度）、临时信息便签，带 WebUI 管理界面。Hermes-style long-term memory, self-evolution, skills, todos and external CLI agent dispatch for DeepSeek Harness.

为 DeepSeek Harness 带来分层记忆（全局 / 用户 / 项目 / GIT 分支 / 每日）与自我进化（经验沉淀 + 技能自动创建）和技能管理、待办管理、CLI 调度（kimi/codex/grok/hermes 等外部 AI 统一调度）、临时信息便签，带 WebUI 管理界面。Hermes-style long-term memory, self-evolution, skills, todos and external CLI agent dispatch for DeepSeek Harness. 本构建另内置三份记忆运维技能（压缩 / 整理 / 注入轨毒源取证）。

Gated GA-style layered memory for DeepSeek Harness: hard-injected L1, working checkpoint, settlement to Skills/L1/L2 — no silent auto-retain.

Non-invasive SQLite hybrid memory and knowledge-graph plugin for DeepSeek Harness

Hermes-style bounded curated memory for DeepSeek Harness (out-of-tree plugin)