DSH memory plugins give DeepSeek Harness persistent recall across sessions — storing notes, indexing a codebase or knowledge base, and retrieving the right context back into a conversation.
Repositories with traceable evidence of a DeepSeek Harness relationship. They have not been reviewed, install tested, or security checked — the signal below each one is the whole of what the registry currently knows.
Codex-like persistent memory plugin for DeepSeek Harness: auto-injected memory summary, memory tools, per-session rollout summaries, and a localized Web settings card.
Local knowledge base for DeepSeek Harness that lives on your desktop: drag files onto an always-on-top icon to ingest them, search them in the same panel, and let the agent query them.
Observational memory for DeepSeek Harness: background observers distill session work into observations and durable reflections, so long sessions survive compaction with their decisions intact.
把 cipher 的持续思考/三中台/四类记忆以 UNNI/LOOP 会话模式接入 DSH（dsh-plugin bundle）
Keep your OpenClaw persona and memory when moving to DeepSeek Harness: one shared Markdown workspace, bounded context, and a native DSH Sidebar.
Mnemosyne 是面向AI陪伴场景特化的DSH长期记忆插件，采用本地SQLite存储，分层保存用户偏好、共同情景回忆与角色人设，跨会话维持稳定连贯的AI陪伴人格，保护隐私，防止人设崩坏。
DeepSeek Harness context manager: auto-records every turn, injects priority-sorted memory + pinned cross-session notes into each request, and folds real conversation history to save tokens. Persistent, restart-safe, MIT.
Memory enforcement plugin for DeepSeek Harness — bridges opencode-memory MCP server with a hard protocol gate
Local knowledge bases with explicit, source-backed retrieval for DeepSeek Harness Web.
Native DeepSeek Harness (dsh) plugin for SodaMem — auto-injects evidence-grounded memory into every turn and ingests each closed turn.
Dual-ledger cross-session memory for DeepSeek Harness: auto-extracted long-term facts (MEMORY.md) + living project progress ledger (PROGRESS.md), recalled into every new session. Inspired by OpenAI Codex's memory pipeline.
Optical compression memory using DeepSeek-OCR (OCR1)
Experience Memory for DeepSeek Harness
Lightweight cross-session memory plugin for DeepSeek Harness: approval-gated `memory` tool (save/recall/list/forget) + Settings card UI to browse, add, delete (two-click, trash/restore) and idempotent import/export. | DeepSeek Harness 跨会话记忆插件：审批门控 memory 工具 + 设置页UI「记忆库」卡片（查看/新增/删除、两击确认、回收站恢复、导入/导出记忆——幂等迁移、冲突拒绝）。
DSH 插件：把 openwiki 的代码库知识库能力搬进 DeepSeek Harness —— 一键生成 / 阅读 / 更新仓库 Wiki 与 Grounded Claims（溯源知识卡片），直接复用 DSH 已配置的模型，无需二次填 Key。
DeepSeek Harness 的 Work Continuity 插件——跨会话工作状态显式持久化，与通用记忆解耦
Local-first memory & persona plugin for DeepSeek Harness (DSH): three-layer file memory, SOUL/MOOD persona, zero-LLM capture, BM25 recall, local web panel.
DSH local knowledge base plugin: multi-format import, smart chunking, vector index, hybrid search (BM25 + sqlite-vec + RRF) for agent long-term memory
Append-only layered memory plugin for DeepSeek Harness: five-layer partitioning, write gate, keyword recall, claim-anchors verification
Layered file memory for DeepSeek Harness — workspace-scoped USER/MEMORY notes, background consolidation, hybrid session recall. npm: dsh-file-memory
台账记忆（Ledger Memory）—— DSH 的工程化项目记忆：台账 + 活动日志(L0-L4) + 三层上下文压缩 + 逐字胶囊落盘 + 跨会话交接单。可回溯、可追查。
把 Obsidian 知识库放进 DSH 右侧栏:目录树、全文搜索、Obsidian 排版风格笔记页、笔记大纲;对话交给应用自己的面板在中间打开,不占侧栏。/ Obsidian vault in the DSH right Sidebar: tree, search, Obsidian-styled note pages, outline, and the vault conversation in the app's centre panel.
ForeSight: a temporal-aspect long-term memory plugin for DeepSeek Harness (dsh)
DSH插件，以Observational Memory方式管理上下文
Agent-driven long-term memory for DeepSeek Harness: scoped memory (global + per-workspace), layered entries (fact/knowle
OpenViking 的 DSH 配置管理 UI：连接与用户 Key 配置、本机诊断、会话级记忆开关，以及记忆隔离与召回调优（分数阈值 / 注入条数 / 查询扩写 / 排除 URI）。 | DSH config UI for OpenViking: connection and user-key setup, local diagnostics, a per-session memory toggle, plus memory isolation and recall tuning (score threshold, item limit, query expansion, excluded URIs).
dsh-anagenesis该插件是 DSH 上的可编程记忆编排层 + 自我进化引擎
Wangdefa.Memory 是一个为本地数字分身Agent 设计的五层记忆体组件，数据完全保留在本地，不依赖云端，达到轻量、白盒可控、可解释，未来将进一步往企业级原生记忆体方向拓展。
知枢 KnowHub — DSH 全局知识中心与项目长期记忆：知识库、Repo Wiki、审核与版本、增量更新、检索与上下文注入、自动提炼、备份恢复、中文面板
DSH plugin: lifecycle for the local Hindsight memory daemon. Starts it with DSH, tears it down with its embedded PostgreSQL on exit, and ships its own settings page. Windows and Linux.
A local-first full-text memory search plugin for DeepSeek Harness, enabling fast cross-conversation search, message-level navigation, and intelligent retrieval of your AI coding history.
灵魂的记忆提取侧·认知循环团队版：判断→捞取→组装→被判定→校准五步闭环，判官/史官/辩手/编辑/书记角色化子智能体承载，BM25 检索 + 时序素材 + LLM 组装「有用素材包」注入 linghun。与 dsh-linghun 组合使用。
🧭 DeepSeek Harness 会话时光机：消息撤回 · 原地编辑重发 · 重新生成 · 对话与产物版本化回退 (Session Time Machine: Recall, Edit-Resend, Artifact Rollback)
ForeSight: a temporal-aspect long-term memory plugin for DeepSeek Harness (dsh)
Retrieved ≠ injected: CBDC-gated memory for DeepSeek Harness — decides how memory is USED (use/verify/ignore + feedback learning + audit), not just stored
Deterministic, zero-LLM, byte-budget context compaction for DeepSeek Harness, with byte-exact recall of compacted history
基于项目逻辑的dsh记忆系统，项目基于交接文档，知识基于项目沉淀。以人实际工作的逻辑，做知识的聚合和交接。开放书写规范以及全插件提示词的前端编辑（热加载），用户可自行优化，或者让模型帮插件通过修改提示词自进化。
Git-native, auditable long-term memory for AI agents
Memory Fortress for DeepSeek Harness: 5-track layered memory, self-evolution, knowledge graph (SQLite+FTS5), status pill. 本地记忆堡垒：五轨记忆·自我进化·知识图谱·状态灯。
Native memory plugin for DeepSeek Harness — auditable facts with evidence chains, powered by StateCore
Chinese web-fiction workflow skills for DeepSeek Harness: planning, file-backed memory, consistency review, rollback, and style profiling.
Cross-session persistent memory for the DeepSeek Harness: a model-facing memory tool, an always-on index section, and a bundled maintenance skill.
面向 Zotero 论文库的浪潮式 RAG 细节检索系统 —— DSH 外部插件。移植 VCPToolBox 浪潮语义动力学思想（标签河道图传播/虫洞跳转/钟型阻尼/Ω重排），配 BM25+RRF 混合检索、claim-evidence 忠实度校验、两级增量索引
Local-first long-term memory and temporal knowledge graph plugin for DeepSeek Harness
SuperLcm — Lossless Context for DeepSeek Harness: fully asynchronous, cache-friendly compaction with exact recall.
📦 记忆搬家：把 Claude / ChatGPT 的历史记忆搬进 DeepSeek Harness —— 逐字证据由代码回原文核对，你逐条批准，全程本地 | Move your Claude & ChatGPT memory into DSH, with machine-verified verbatim evidence
Read-only Windows device info tools for DeepSeek Harness: 12 win_* tools (time, system, CPU, memory, disk, GPU, network/WiFi, battery, processes, USB, audio, printers) via Node os + WMI/CIM. Bundle-form dsh plugin.
Empowers DeepSeek Harness AI with cross-session long-term memory, manages your to-dos and skills, and orchestrates multiple AI sessions and external agents to collaborate—it learns from you over time, so context stays intact even when you switch conversations.
Project-level persistent memory plugin for deepseek-harness: auditable Markdown memory files with memory_load_context / upsert / finalize / forget tools. Zero-dependency, installable via dsh plugin add.
仿 Codex 的 DSH Web GUI 输入历史插件：会话输入框按 ↑/↓ 浏览历史 prompt，Esc清除当前对话框并进入历史，跨会话、跨重启持久保留，仅存纯文本，安全接管不误伤草稿。 A Codex-style input-history plugin for the DSH Web GUI: recall previous prompts with ↑/↓ in the composer, persisted across conversations and restarts, text-only storage with safe key routing.
DeepSeek Harness (dsh) ↔ TencentDB Agent Memory (TAM) long-term memory bridge: L0 conversation capture + recall injection via TAM v3 data plane
把 OpenViking 持久记忆接入 DeepSeek Harness（DSH）的插件：自动召回、会话镜像与阈值提交、离线出站队列重放、自研 MCP 工具桥与 viking:// URI 守卫。
Local system resource monitor (CPU / memory / disk / load / uptime) for the DeepSeek Harness bottom status bar.
Reusable trajectory-tree context, exact-turn forks, and bounded cross-session recall for DeepSeek Harness
Self-evolving memory for DeepSeek Harness: capture → dream consolidation → retrieval injection → evolve. User profile, project memory, correction learning, resume narrative — with provenance back to the replayable session log. 自进化记忆插件。
Three-level source-text pins for DeepSeek Harness that survive context compaction: recall on demand, resident background, or highlighted constraints.
DSH 插件：角色设定与长期记忆（角色库 persona.yml/SOUL.md/USER.md + FACT.md/MEMORY.md + JOURNAL.jsonl），注册在宿主组合层，对所有 agent 预设生效，附右侧栏管理面板。MIT。
Windows host performance counters from WSL: CPU, memory, disk and top processes.
ProactiveAgent × DeepSeek Harness 插件组：把主动记忆 + 主动建议接入 DSH（6 个 cordis 插件，引擎零重写）
让 DeepSeek Harness agent 把本地 Obsidian 知识库当作长期记忆与工作台：全文/语义检索、会话记忆注入、一键捕获、巡检管家（只建议不擅改）
