Memory and knowledge · DeepSeek Harness plugins — Page 42

Session-scoped memory tab for DeepSeek Harness, rendered beside Chat / Trajectory / Context, covering the whole /memory surface (list, query, add, rewrite, remove, merge, proposals, budgets, audit, adapters, export, import). A companion to dsh-memento: it consumes the public ctx.memory seam and registers its own routes, so it never forks upstream. Reading the tab never increments the store's recall counters. Every route call carries a deadline, so a wedged request reports a failure instead of locking the tab. Removes address entries by primary key, so two memories with identical text stay individually deletable.

MEMFLOW memory framework for DeepSeek Harness — distributed memory architecture: every project carries its own memory/, one plugin for Hermes-like memory across all your workflows

Memo — session memory search for DeepSeek Harness agents: cross-session full-text recall (memo_search), distilled notes (memo_remember), and corpus stats (memo_stats) over the official sessionQuery service. Zero infrastructure, local-first.

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.

Memorix memory panel for the DSH Web GUI: browse every project and memory, read full details, archive/restore and create memories — inside the session, with writes going through the official memorix CLI.

Advanced auto-memory plugin for DSH: layered memory (episodic/semantic/profile) + knowledge graph + worldline versioning + vector/RAG retrieval + incremental graph building

A persistent, model-editable memory/notes store for DeepSeek Harness. Adds memory_set / memory_get / memory_delete / memory_search tools backed by the built-in storage domain (ctx.storageDomain) so facts survive across sessions.

Layered file memory for DeepSeek Harness: global snapshot injection, workspace notes, session recall, post-compaction flush, and a bundled usage skill

DSH memory plugin: RRF multi-lane recall / confirm-based writes / Fernet vault / session harvest（DSH 记忆插件：五路 RRF 召回 / 确认制写入 / Fernet 加密库 / 会话转录）

Cross-session long-term memory for DeepSeek Harness: a schema-validated memory domain over ctx.storage plus model-facing remember/recall/index/forget tools and a memory protocol prompt section.

Long-term memory plugin for DeepSeek Harness (dsh): auto-recall relevant memories before answering, auto-save key facts after answering, full CRUD/search tools, and a visual settings page for memory management.

Session-end memory for DeepSeek Harness: distils each turn's new dialogue into durable notes, then recalls the global set plus the current workspace's in a per-agent prompt section.

对话记忆：记忆标签页、自动命名、隐私隔离、侧栏AI名、经验自动记录。静态 profile 插件，任何预设可用，重启不消失。

DeepSeek Harness 共享持久记忆插件：所有会话共享一个记忆库，提供 memory_add / memory_search / memory_list / memory_remove 工具，并在 Web 侧边栏提供 Memory 面板

Layered memory plugin for DeepSeek Harness: strictly separated project/global memory, host-driven recall before tasks and continuous learning after them.

DSH 长期记忆增强插件：文档索引 + 语义检索 + 跨会话 KV 记忆（agent 工具）

Persistent long-term memory plugin for DeepSeek Harness (dsh): single memory tool, markdown storage, auto session summary, curator governance, user-profile injection.

DSH 本体（web/headless profile）的跨会话语义记忆工具：memory_add / memory_search。智谱 embedding-3 向量 + SQLite + 余弦相似度。配置可选、绝不因缺 key / 缺库 / 缺服务而崩。

Long-term memory for the DeepSeek Harness Web GUI: project-scoped and global memory stores, a Memory view tab beside Trajectory with one-item-per-row list and an Obsidian-style link graph, automatic per-turn memory extraction, automatic memory briefing injection into every request, and small-model periodic consolidation (dedupe / merge / link / archive).

Long-term memory for DeepSeek Harness agents: user preferences, project facts, session summaries, and knowledge entries, with auto-injection at session start.

受 CC-HAHA 启发、面向 DeepSeek Harness 的项目隔离持久记忆插件

DSH 记忆库：并入的提示词查看器（看每次模型请求真正发出的全文）+ 阅读优先界面（连续滚动读摘要与原文、全屏）+ 真名解析（工作区 catalog.json 的角色名/周目名/周目↔会话映射与多级回退）+ 提示词面板（压缩指令/收纳占位可编辑落盘）；会话与工作区两种根模式，只读会话与归档，复用 DSH 自身的压缩机制与检索索引。

Memory Tree bridge for DeepSeek Harness — search/persist memory, manage the memory tree, and drive the local/cloud extraction backends. · 记忆树桥接：检索/落盘记忆、管理记忆树、本地/云端提取开关。

DSH plugin: offload bulky tool logs to refs/*.md and keep a Mermaid canvas. Don't pip the wrong dsh.