378 results
Memory Standard Protocol (mm) for the DeepSeek Harness: layered MEMORY.md + deterministic budgets + frozen snapshots + cross-agent markdown/URI interop + session-log digestion. Ships as a dsh bundle (tools: mem_read, mem_write, mem_search, mem_budget, mem_digest) and a standalone CLI.
Simple memory keeper for DSH: semi-automatic markdown accumulation, layered loading (global/project), cross-project search
DSH 自动做梦插件：后台定期回顾近期会话与记忆，整合去重、更新过时、修剪索引（复刻 CC-HAHA autoDream，与 dsh-memory 并存）
vibeweaver 技能的 DeepSeek Harness 插件封装：渐进披露契约段 + 机械门禁（assert_artifacts 证据检查）+ 编码任务自动激活 + 回合守卫。
运动记忆 Motion Memory — DeepSeek Harness 本地记忆管理插件：对话跟踪 + 周期总结，会话沉淀为可溯源的本地记忆文档。
Yogacara eight-consciousness agent society for DeepSeek Harness: auditable double-loop runtime bridge, mneme memory consolidation tuning, MCP society tools, and six seed skills
DSH local cross-session memory plugin: capture turn summaries, inject recent days, and search all historical memory with pure JS keyword matching.
Long-term cross-session memory plugin for DeepSeek Harness (L5 + L7 layers): SQLite-backed, FTS5 + optional embedding recall, append-only audit log, single-bundle dual-face packaging.
ego lite for DeepSeek Harness, with a memory it keeps: the agent recalls what it learned about a site before it acts, promotes a script that worked into a reusable site tool, and hands you the keyboard through a real dsh prompt when a page needs a human.
Mnemosyne memory for DeepSeek Harness: remember / recall / forget / stats / sleep tools, embedded skill, auto-setup, optional auto-sync/prefetch, a Settings panel, and a managed memory dashboard. Data lives under ~/.dsh/mnemosyne.
Durable layered memory (global / user / project / branch / daily), confirmation-gated writes, todos and skills. Preserves ~/.dsh/memories files in place with in-place adoption, SHA-256 verified backup and rollback.
DSH 自定义模型思考等级管理、渠道重试策略与偏好记忆插件：原生设计语言、全档位思考配置、渠道级重试控制与无感隔离式跨会话偏好记忆。
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.
DeepSeek Harness native immersive roleplay studio & companion system. Unifies decoupled character cards with Hindsight graph memory.
订阅 turn/end 对本轮完整对话做 LLM 蒸馏（被否决方案/踩坑记录/工程约束），打 type:rejected_solution 标签写入 MemOS；编码任务时对 rejected_solution 记忆做检索权重提升。复用 MemOS 向量检索、归档淘汰、生命周期能力。
DSH 本地向量记忆插件:本地 embedding 向量化 + SQLite 存储;四信号混合检索(向量+BM25+时间新鲜度+标签命中)自动召回;云端 deepseek-v4-pro 自动提取;支持取代链、置顶、软删回收站、memory_merge 合并与 memory_health 健康报告、定时备份。
DeepSeek Harness plugin: multi-tier memory management, semantic retrieval, structured memory, and model-context awareness for infinite context.
Mnemosyne 永久记忆插件 - 为 DSH 提供长期记忆、向量搜索和 LLM 反思功能
Hybrid memory plugin for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md, read on demand, zero context cost) + L2 searchable knowledge base (one-fact-per-file, SQLite FTS5) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and approved Agent Hub documents. No automatic injection. Data lives on D drive, never C.
边做边学知识库：CRAG 式纠错检索（L1 Markdown wiki + L2 Hindsight）→ 未命中后台经 L3 限流联网补料 → 蒸馏落 staged → 两段式 commit 升入 L1。
Memory plugin with built-in governance for DeepSeek Harness
Git-native, auditable long-term memory for AI agents
dsh的跨会话记忆管理插件，让agent记住每一个任务的内容和进度。包含命题图、三层内存漏斗、混合向量 + 词法检索（RRF）以及浏览器端审查面板。 ｜ Cross-session memory management for DSH — lets the agent remember the content and progress of every task while executing. Includes a proposition graph, three-layer memory funnel, hybrid vector + lexical retrieval (RRF), and a browser-side review panel.
Cross-session long-term memory for the DeepSeek Harness: a two-phase extraction/consolidation pipeline over a file-based memory workspace, recall injection, a citation feedback loop, lease-based job semantics, plus a settings page, a sidebar status panel and a memory viewer.