dsh-memory-amem
Zhang-Zhengyuan
Long-term, agentic memory for DeepSeek Harness — A-MEM with prompt-injection defenses, atomic persistence, and native + MCP integration.
DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件,打造 DeepSeek Harness 生态的一站式目录。
48 个项目,匹配「dsh-memory」
Zhang-Zhengyuan
Long-term, agentic memory for DeepSeek Harness — A-MEM with prompt-injection defenses, atomic persistence, and native + MCP integration.
chenhw7
Cairn — long-term memory for the DeepSeek Harness (@chenhw7/dsh-memory). Persistent cross-session memory: facts, preferences, corrections, lessons. BM25 retrieval, three-layer scoping, human-confirmed writes.
hongweifei
该仓库暂未提供项目说明。
icearia0219
User-governed local memory spaces for DeepSeek Harness — explicitly share selected sessions with previewable, versioned, provenance-aware recall.
pacoyi
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)。
solknight48
MemoryHub (mh) plugin for DeepSeek Harness (dsh): auto-loads checkpoint memory on session start, adds mh_* tools and the mh skill, and a Memory tab in the web UI
szx-a
LMA (Layered Memory Architecture) 是一个为 DeepSeek Harness 设计的地基插件(Foundation Plugin)。它定义了 “记忆体(Memory Body)” 这一抽象概念及其挂载/卸载协议。 它与其他记忆插件的本质区别在于:LMA 是一个容器和载体,让 dsh-memory-evolve、EchoCore 等“能力性插件”可以挂载其上,它本身也内置了一套可开关的基础记忆流程,作为可选能力。LMA结束记忆功能的“一锅乱炖”,实现跨会话的结构化记忆机制。(目前功能还在持续完善以及测试,对于其他插件的接口在构想完整后逐步推动)
the-thinker0
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.
zouyuanqing
Native OpenViking memory integration for DeepSeek Harness: host-plane memory service with automatic session capture (session/event + session/flush hooks), session→peer isolation, memory tools (write/recall/search/profile/forget) and automatic <memory_profile> prompt injection for every agent preset.
DecarbonizedGlucose
Lightweight local cross-session memory for DeepSeek Harness
Jason-Liao
该仓库暂未提供项目说明。
RayYeung1989
DeepSeek Harness (dsh) ↔ TencentDB Agent Memory (TAM) long-term memory bridge: L0 conversation capture + recall injection via TAM v3 data plane
Shiye-10Pages
📦 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
U-Illll
Memory retrieval plugin for DeepSeek Harness (dsh): wiki double-link memory graph with 9 tools — hybrid search, read, link-scan, remember, forget, compile, health-check, resident retriever subagent
alanzhao0128
Lightweight zero-dependency long-term memory for DeepSeek Harness: Markdown memory store, L0 catalog injection, 5 model-facing tools, background extraction. | dsh 轻量跨会话记忆插件
biubiu23333333
dsh-memory
brianwang2007xjtu
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.
cuteG41cute
🧠 Project memory database plugin for DeepSeek Harness — 为 AI 助手沉淀项目级问答记忆,三态分类智能注入历史上下文
ly028716
Intelligent memory system for DSH - Track user preferences, tool usage, and project context to provide personalized recommendations
yehuioc
File-based layered memory skill pack for DeepSeek Harness and skill-driven agent runtimes: 11-layer directory model, Maps-first navigation, producer/review metadata contract, contamination guard, zero-dep scaffold/audit scripts.
Amengclass
Persistent, model-editable memory/notes store for DeepSeek Harness. Adds memory_set/get/delete/search tools backed by ctx.storageDomain so facts survive across sessions (dsh-plugin).
XIAOke8698
Forgetting engine for AI agents — memory TTL, decay, eviction, audit. The opposite of memory programming. DSH plugin + local skill + CLI.
perinchiang
DeepSeek Harness embedded read-only viewer for TencentDB Agent Memory's four-layer local memory
pomelotea-yuzu
Layered (global + per-project) bounded file-backed memory for DeepSeek Harness — model-curated with user intervention, versioned writes, TTL expiry, session search, and an in-chat memory panel