DSH Memory
Cited memory over lossless session logs with human-auditable facts linked to source events.
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.
Cited memory over lossless session logs with human-auditable facts linked to source events.
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.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
The most accurate, cheapest and fastest memory for coding agents: searchable session history from Claude Code, Codex, Cursor and 32 more agents, already on your disk. No LLM, one Go binary.
Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.
Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · DeepSeek Harness · Hermes · VS Code · Windsurf.
Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding
Composable, view-based memory for DeepSeek Harness. Pluggable sources and strategies, with three-tier memory out of the box.
为 DeepSeek Harness 带来「跨会话长期记忆 + 后台自我进化」能力的纯插件实现:五轨记忆 · git 分支感知 · 回合内自我审查 · 技能自我进化与技能管理器 · 四轨待办 · COI 调度 · 会话广播 · 会话搜索 · 提示词管理器 · 临时信息便签——零核心修改、零运行时依赖,随装随用、卸载即净。
白箱AGI架构探索:元认知(自我认知循环)、持续学习(知识飞轮)、世界模型(条件空间+语义时空图)、自我改进(自举纪律)、零LLM白箱管线与可审计信任护栏。
A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.
Noema long-term memory plugin for DSH: durable, inspectable agent memory with recall tools and a settings page.
🧠 The memory that dreams — cross-session memory for DeepSeek Harness. Offline & private, auto-consolidates in its sleep (autoDream), visualized in a memory panel.
DeepSeek Harness (DSH) 插件:在模型读取前撤回已发送的文字消息,支持单条与全部撤回。A DeepSeek Harness plugin that recalls sent-but-unread text messages before the model reads them — one-by-one or all at once.
Cross-session memory plugin for DeepSeek Harness: seven-layer SQLite store (soul/user/project/fact/lesson/topic/rules), BM25 retrieval, per-window dream consolidation. 跨会话七层长期记忆插件。
Bounded, layered, approval-gated, auditable cross-session memory for DeepSeek Harness (capability seam: ctx.memory + SQLite provider + memory tool + frozen snapshot injection)
DSH Web内目前最无感的消息撤回、重编辑插件,原版体验,兼容性强,功能简单可开关,设置丰富,现代化轻量ui框架。The most seamless message recall & re-edit plugin for DSH Web — native experience, strong compatibility, simple toggles, rich settings, modern lightweight UI. DSH Web で最もシームレスなメッセージ撤回・再編集プラグイン——ネイティブ体験、高い互換性、シンプルなトグル、充実した設定、モダンで軽量な UI。
DeepSeek Harness 长篇角色扮演agent(DSH酒馆插件):SillyTavern 角色卡导入、行动选项卡、分支对话管理、长篇记忆、关键词与语义混合检索、交互式角色卡创作、世界书、多角色 Agent 集群、文风预设、小说与角色卡导出、一键安装。 / Roleplay Agent 、Tavern plugin for DSH (DeepSeek Harness): branch conversation, long-term memory, hybrid keyword and semantic retrieval, SillyTavern cards, interactive card authoring, card export, one-click installers.
A DeepSeek Harness (dsh) plugin — turns dsh web into a SillyTavern-style roleplay frontend: character cards, prompt presets, lorebooks, personas, BM25 long-term memory, world-state deltas, and rollback-able floor operations, all on the dsh agent runtime.
Persistent project intelligence and memory plugin for DSH: architecture analysis, cross-session context, TODOs, and optional hybrid retrieval
Recent memories stay detailed. Older ones grow concise. Important ones live on.近期记忆保持详细,旧记忆逐渐精简,重要记忆长期存在。
Proactive associative memory for DSH: zero-prompt recall injected before the model speaks, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers, PLAN whiteboard, water-level sensing. Local-first, model-agnostic, zero deps. 主动联想记忆+Astra 式上下文管理:自动唤回/自动沉淀/技能固化/交接账本与白板跨窗口续命/水位感知。
Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
A temporal context graph, a memory API, retrieval primitives, and a multiple-platform integration mesh — designed to be embedded into any host process.
Knowledge base & RAG plugin for DeepSeek Harness (DSH): chunking, local embeddings, hybrid search, management panel
dsh-agent-team gives DeepSeek Harness agents that don't reset: durable Members with their own memory, notes, and skills across sessions, rollovers, and restarts. You set the direction; agents coordinate through Channels and Tasks.
消息撤回插件:回到发送该消息时的状态 DSH Message Recall Plugin: Return to the state when the message was sent
DeepSeek Harness (DSH) local-first cross-session project memory: zero bundled runtime deps, bounded cache-friendly Hot Memory, BM25 recall/cache, provenance, lifecycle and bilingual Web GUI; no embeddings or external service. / DSH 本地项目记忆插件。
为明日方舟的长篇剧情打造的RAG类DSH插件,拥有多种快速检索能力。
Claude Code-style auto-memory plugin for DeepSeek Harness (dsh): typed memory files + MEMORY.md index auto-injected into the system prompt. File-only, no external services.
DeepSeek Harness 长期记忆插件:四通道检索融合 + 记忆演化闭环,记忆构建与检索方法来自 ICLR 2026 论文 MemGAS。Long-term memory plugin for DeepSeek Harness (dsh).
融合 Claude Code 的 Auto Memory 与 Codex 的 Session 记忆整理,为 DeepSeek Harness 提供简单、透明、上下文友好的长期记忆。Claude Code-inspired Auto Memory meets Codex-inspired Session consolidation, bringing simple, transparent, and context-efficient long-term memory to DeepSeek Harness.
OMK — Evidence-backed evaluation and observability for prompts, RAG, skills, agents, and workflows. Native Codex, Claude Code, and DeepSeek Harness support.
让 DeepSeek Harness 拥有跨会话长期记忆:AI 自动记住你是谁、你的项目和偏好,新会话直接带上背景,生活与工作记忆自动分开互不干扰,零配置无感运行 | Long-term memory for DeepSeek Harness: the AI remembers who you are, your projects and preferences across sessions, keeps personal and work memories separate, zero-config.
Read-time project memory plugin for DeepSeek Harness (dsh)
将分散在 3GPP Release 15~18 的 70+ 条通信协议规范,按 TN/NTN/全息/近远场/混合/安全等 8 个维度结构化整理,为通信工程师和 AI 助手提供一键式协议查询能力。通过三个 DSH 工具(关键词搜索、分类浏览、单条详情),取代人工翻阅数百页 PDF 的繁琐过程,让大模型在通信领域回答更准确、有据可查。本项目填补了通信工程专业知识在 AI 助手中的空白,是首个面向通信领域的 DSH 协议知识库插件。
面向 DeepSeek Harness 的 OpenViking 检索、资源管理、自动召回与会话记忆插件
Local document knowledge base for DeepSeek Harness: library_add/remove/list, hybrid semantic+keyword library_search with diversity re-ranking, relevance filtering and lost-in-the-middle avoidance, citation-aware injection, library_cite_check and library_diagnose — SQLite-backed index via the storage domain, local embedding, zero model downloads.
记忆核心(Memory Eternal):自研的 DeepSeek Harness 记忆插件——对话结束自动沉淀知识卡到本地 Markdown Vault(自研去重 / 自研 CJK 检索 / 知识图谱 + 审核中心 / 回收中心),Agent 通过 memory_recall 按需召回历史上下文,零人工干预。
deepseek harness plugin obsidian memory
DeepSeek Harness (DSH) 跨会话记忆插件:对话模型边干边记的 Markdown 项目记忆,支持专题文件渐进式披露、可选后台静默蒸馏、按项目隔离与热更新设置面板。机制对齐 Claude Code auto memory。 | Agent-maintained cross-session Markdown memory: progressive-disclosure topic files, opt-in silent distillation, per-project isolation. Claude Code-aligned.
本地优先的文献知识库 RAG(DeepSeek Harness 插件):混合检索正文与图注,把模糊记忆定位到具体段落与图表,DOI 一键直达原文。Local-first literature RAG for DSH — turn a fuzzy memory into an exact passage/figure, one-click DOI to source.
DSH 科研插件集:论文精读与追问、Idea 知识库、SSH GPU 监控,以及按工作区管理的研究目标、假设、DAG 和实验台账。
Gates 84.7% of tool-schema prompt tokens away for DeepSeek Harness: plugins declare themselves organs, a nerve impulse routes each command, reflex arcs fire with zero model calls, memory consolidates while idle, every failure is attributed before retry. Reproducible offline, MIT.
将千星沙箱(原神千星奇域)知识库接入 Deepseek Harness 的插件
Installable DeepSeek Harness knowledge base plugin
SGME 拾光记忆引擎:AI 全面接管记忆、技能库、WIKI 知识库三大模块,跨会话、多智能体共享记忆,AI 会一直记得你的偏好。ShiGuang Memory Engine · AI takes full charge of three core modules — memory, skills, and wiki knowledge base. Memory is shared across sessions and multiple agents, so your AI always remembers your preferences.
PII masking middleware for DeepSeek Harness: anonymize names, phones, emails, ID cards, bank cards, keys, and addresses to placeholders before they reach the model, restore them at the display layer, keep the restore table only in memory and a controlled storage domain, never log plaintext, and expose /mask and the mask_test tool
DeepSeek Harness long-term memory & self-evolving plugin: L0 capture -> L1 memory extraction -> L2 scene grouping -> L3 user persona, auto recall injection + skill synthesis, fully local.
DeepSeek Harness 插件:对话自动沉淀为知识卡,配可检索知识库 + 知识图谱 + 审核中心;SQLite/纯 Markdown 存储,零第三方依赖。
DeepSeek Harness plugin that connects to a PowerContext Server over HTTP for recall, memory, handoff, experience, and skills.
可以有效减少token消耗!DeepSeek Harness memory plugins (dsh-plugin): CJK-aware session full-text search, tool-result dedup, hybrid vector+FTS5 memory search, cross-session core memory, near-lossless compaction locators. Real-harness verified, 65 tests.
DeepSeek Harness 的「单核写作」插件:面向量化小模型做了充分的工具瘦身与输出加固,适合在本机用本地模型跑长篇小说流水线。
Guarded context compaction for DeepSeek Harness (dsh): the LLM proposes, deterministic guards dispose — eager per-atom shrink (extract/summary/false under verbatim guards) + lazy reference-graph eviction (0-LLM) + byte-exact recall from an append-only log. 守卫式上下文压缩:LLM 只提议、确定性守卫裁决——逐原子缩放 + 惰性引用图剪枝(0-LLM)+ 追加式日志逐字节召回;压缩率精确兑现,历史永不销毁。
DSH for Teams — Deploy DSH once on your LAN; memory, knowledge base & document search included. Team-ready, up to ~20 users. MIT-licensed.
DeepSeek Harness (DSH) plugin for self-improving AI agents: continual learning, persistent memory, cross-session knowledge, review-and-refine workflows, and automatic rollback.
Local-first persistent memory infrastructure for DeepSeek Harness: hot bootstrap, Chinese-BM25 cold recall, lease-lock transactional writes, read-only governance
零外部依赖的 LLM 长期记忆插件,专为 [DeepSeek Harness] 设计。
Cross-session long-term memory plugin for DeepSeek Harness (DSH)