@dsh-memory/bundle
dsh-memory — cited memory over DSH's lossless session log: post-session distillation into human-auditable markdown files, a compact recall index, memory_read/memory_expand tools, and a dsh-memory CLI
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dsh-memory — cited memory over DSH's lossless session log: post-session distillation into human-auditable markdown files, a compact recall index, memory_read/memory_expand tools, and a dsh-memory CLI
Notes and todos as plain Markdown in one Vault folder of your choice: /ml jots into today's journal, todos come in deadline/sleep-until/anytime flavors with auto-wakeup, /ml note distills chats into a knowledge base, /ml ask answers questions from it, /ml mail reads your work inbox incrementally into a throwaway temp dir and extracts todos/reads, /ml view fuzzy-opens any file — notes stay plain files.
WikiBridge:DSH 与 Obsidian vault 的知识库桥接 —— 约束工具(wiki_search/read/write)+ 自动词典检索 + 持久化配置
DeepSeek Harness plugin: cross-session memory for the model. Full-text search all past sessions (SQLite FTS5 via ctx.sessionQuery) and bring the strongest matching excerpts back into the current context — recall earlier decisions, commands, and mistakes.
Focus board for DeepSeek Harness agents: durable, model-maintained notes in the session workspace that pin the objective, constraints, and decisions across compaction and sessions — with structured entry tags (kind/status), a grouped summary view, automatic context injection, an archive on clear, and an optional read-only web panel
Solve the AI goldfish brain: a personal memory layer for DeepSeek Harness — preferences, project conventions, workflows, and error lessons, stored locally as auditable, evidence-backed Markdown/JSON. 解决 AI 金鱼脑:偏好、项目约定、工作方式与纠错教训的本地可审计记忆层。
DSH 全局经验插件(骨架):自动探测本地依赖/便捷路径/网络/磁盘并沉淀为跨会话环境档案,订阅 session/event 折叠每会话统计,把低开销摘要注入每轮系统提示,env_profile 工具按需查全量——减少重复探测、加快会话、降低 token 消耗。
SodaMem memory layer for the DeepSeek Harness (Cordis): unconditional per-turn recall and per-turn-close retain.
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
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。
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.
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。
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.
Memory plugin with built-in governance for DeepSeek Harness
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.
DSH cross-session self-improvement: memory, error/session retrospectives, SOP extraction and improvement proposals
Translation toolkit for DeepSeek Harness agents: segmentation, term extraction, durable glossary and tone memory, cross-segment consistency checks, source-target QA, heuristic quality scoring, tone guides, and a durable translation memory