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。
186 个项目，匹配「memory」
AskTheWay
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.
melandlabs
A temporal context graph, a memory API, retrieval primitives, and a multiple-platform integration mesh — designed to be embedded into any host process.
hanshanyike
把对话里说过的重要事情，变成持续可跟进的计划。 为 deepseek-harness 打造的个人助手：从对话中整理事项、跟踪变化，并在需要时提醒你。
lna-lab
蒸留蔵 — distilled long-term memory for agents: recall by meaning, writing gated by evidence, one kura per agent mode. Ships as a DeepSeek Harness plugin and an MCP server.
398894496-arch
Second brain for coding agents. Seal the day, distill into Obsidian, hit that page tomorrow. Cursor, Codex, Claude Code, DeepSeek Harness.
wowyuarm
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.
Qinling-Melon-Farmers
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。
WeirdSky924
Use this cross-platform skill in Codex or Claude Code to establish repository-local continuity memory so a future agent can recover objective, status, decisions, validation, risks, and next actions without relying on previous chat history.
gulagala001
让你的 DSH，火力全开。长上下文、任务验证、提示词优化、代码理解、电脑操作与四套完整主题。
hr98w
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.
quqxui
Long-term memory plugin for DeepSeek Harness (dsh): four-channel retrieval fusion and continuous memory evolution. Memory construction and retrieval are based on MemGAS (ICLR 2026).
JunNanLYS
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.
Zoria-Lind
Layered token-optimization pipeline for DeepSeek Harness: output ladder, MCP lazy loading,compaction driver, cache-hit reporting. Built on real DSH plugin APIs; ~40-60% input saved in long sessions.
00080000
Read-time project memory plugin for DeepSeek Harness (dsh)
1420079678-ctrl
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.
Rxiain
面向 DeepSeek Harness 的 OpenViking 检索、资源管理、自动召回与会话记忆插件
webkubor
Let the AI know you. 让模型主动记下你的判断依据（原则/红线/工作方式），跨会话复用 —— 有容量、会遗忘、每条都说得出为什么记。
justhalfbit
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.
kenz1117
该仓库暂未提供项目说明。
freehul
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.
QIANLING-0831
DeepSeek Harness (DSH) 记忆插件全家桶：中文可用会话全文检索（FTS5 trigram）、工具结果去重、混合向量+FTS5 记忆检索、跨会话核心记忆、近无损压缩、技能管理器+后台自我进化，以及模型写不到的用户专属层（手写或被固定的技能与记忆，模型工具与后台进化一律改不动）。86 单测；支持 DSH 0.1.5-rc.3 ~ 0.2.x
madage
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.
xinchen03
The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates. Local-first, MCP 13 tools, DeepSeek Harness plugin.
Co-Engram
Self-evolving team memory