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Memory Dreaming — DeepSeek Harness 插件(DSH Plugin)
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dsh-memory-dreaming

Memory Dreaming

从原生会话整理日常记忆、Dream 与每周复查,保留出处并审阅长期事实。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:Kerberos255/dsh-memory-dreaming#7ea102419546ced6edd96607f61cd2c809954b01
README兼容性版本

兼容性与来源证明

Memory Dreaming 以 dsh-memory-dreaming 发布,当前版本为 0.2.28。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
web
发布来源
github
Registry 更新时间
2026/10/16

版本

0.2.28stable
2026/10/16
0.2.27stable
2026/10/13
0.2.20stable
2026/10/12
查看其余 4 个版本收起版本
0.2.19stable
2026/10/11
0.2.18stable
2026/10/9
0.2.3stable
2026/10/8
0.2.2stable
2026/10/8

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最新版
0.2.28
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
web
许可证
MIT
发布源
github
GitHub
★ 0
周下载
0
最近提交
2026/10/16
查看源码 ↗
README Badge

点击下方 Badge 复制 Markdown,粘贴到 README 即可。

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Hindsight Coding Agents@vectorize-io/hindsight-coding-agents面向编程代理的仅反思式 Hindsight 长期记忆(可插拔支持多种运行框架:opencode、……),自动在后台导入(无需设置 CLI)。Ab Memorydsh-ab-memory--- description: "dsh-ab-memory 包:一种跨会话、基于文件的智能体记忆,提供五个工具(remember / recall / forget / load_skill / distill)以及始终启用的轻量注入。" kind: "package-reference" ---Contextdsh-context用于上下文洞察和管理的 DeepSeek Harness 插件,提供上下文仪表板和上下文命令,帮助了解上下文的构成及其演变过程。Mnemondsh-mnemon适用于 DeepSeek Harness 的可组合、基于视图的记忆。支持可插拔的数据源和策略,并开箱即用地提供分层记忆。

README

Dream & Memory for DeepSeek Harness

简体中文 · DeepSeek Harness · Security

Turn verified DSH conversations into daily journals, Dream consolidations, weekly reviews, and searchable long-term memory, without loading whole conversations into every prompt.

Memory lifecycle

  1. Daily journal: summarize eligible user messages into memory/YYYY-MM-DD.md.
  2. Dream: consolidate recent experiences into DREAMS.md and candidate facts.
  3. Long-term memory: verify source evidence and publish approved facts to managed sections of MEMORY.md.
  4. Recall: fetch a few relevant published facts from the current authorized workspace; optional embeddings complement keyword search.
  5. Weekly review: merge the previous week's daily journals, track coverage, and safely archive eligible daily files.

The original native DSH session log remains the evidence source. Candidate memories are not automatically treated as facts, and retrieved user content is not trusted as instructions.

Semantic recall and historical archives

Automatic recall of verified, source-backed long-term memory can use keyword, semantic-fallback, or hybrid matching (autoRecallMode). Embedding failures fall back to lexical retrieval; content from unverified history never enters trusted automatic recall.

The plugin maintains a scoped, incremental SQLite index for explicit memory_search over curated archives under memory/history/{daily,weekly,monthly,notes}/. Only these structured Markdown paths are scanned; account/configuration files and migrated raw sessions are excluded. Rolling daily/weekly maintenance preserves permanent archive copies according to the history settings. No user archives or migration scripts are included in this public package.

CI runs portable memory-indexing and recall tests using npm test. The full plugin integration suite (npm run test:integration) requires a compatible DSH host with the declared peer services.

Requirements and install

Requires a DSH host with native session query, scheduling and model services; see package.json for runtime and peer requirements.

dsh plugin --profile desktop add github:Kerberos255/dsh-memory-dreaming

Use your actual profile and restart after installing or updating code.

Quick start

  1. Open Settings → Plugins → Dream & Memory. Choose an available summarization model.
  2. Start with the manual daily/Dream/weekly actions and inspect eligible-source diagnostics and proposed facts.
  3. Review the candidate list and publish verified facts, or deliberately enable automatic promotion with its evidence checks.
  4. Enable the built-in DSH scheduled jobs only when wanted; scheduled processing and automatic fact promotion are off by default.
  5. For private Discord/Feishu sources, configure Channel Core owner verification first.

By default, published facts can be recalled automatically in small bounded amounts. The plugin supports keyword retrieval without an embedding model; an optional embedding provider may improve semantic matching.

Storage and safety

State and write recovery are managed in local SQLite under DSH data; managed journals, Dream output and MEMORY.md remain regular workspace Markdown. Source identity, workspace authorization, incremental cursors, atomic writes, and hash checks protect publication and cleanup. Archived eligible daily entries are retained temporarily before removal; human-edited files are preserved.

An on-demand memory_dream tool is not permission to inspect unrelated private conversations. Live model and scheduling results must be checked in DSH; standalone CI covers mock-based behavior.

Development

Run npm test for portable tests. Config template: config.example.json. Historical changes: CHANGELOG.md.

Related: Channel Core · Instruction Files · Lossless Context.

MIT licensed. See LICENSE.

Optional plugin diagnostics

The plugin optionally emits privacy-restricted operation and failure metadata to dsh-plugin-diagnostics. Diagnostics contain event type, status, fixed error code and elapsed time; conversation content and credentials are not logged. The diagnostics plugin is optional and does not change the host requirements.

Natural-language project and task memory

Dream can extract source-backed task events from eligible user messages and link them to stable internal task/project IDs without requiring users to type canonical names. State changes (requested, in progress, blocked, completed, cancelled, reopened) are stored separately from verified long-term facts, with timestamps and verbatim source references. Unclear aliases remain separate rather than being forcibly merged. A status question can receive a dated task timeline via memory_search and limited owner-authorized recall; historical user statements are not evidence of verified implementation. Manual draft-only runs do not publish events, and revoked/forgotten sources are excluded.

Daily, Dream and weekly consolidation now offer distinct configurable default content-guidance prompts, with a Restore default action in the plugin settings. Mandatory JSON, authorization and source verification remain code-enforced. Existing native DSH Session Log remains the evidence source. The task index is populated on new successful memory runs; older journals are still searchable but are not automatically backfilled into structured tasks.

Optional scheduled-task failure event

After a scheduled memory-maintenance workflow's failure is recorded durably, Dream emits a small dsh/task-alert host event with the workflow ID, kind and failed state. Manual runs, successful runs and runs with no new material do not emit an alert. Channel Core, when separately installed and opted in through its task-notification settings, can deliver a brief notification to the verified owner's Feishu or Discord DM. Dream has no dependency on Channel Core, and task execution never fails because notifications are unavailable. The event contains no private conversation, memory artifact, or model error detail; notifications are not guaranteed while the host is stopped.