deepseekplugins

DeepSeek Harness 插件

dsh-memory-setup

解决 AI 金鱼脑：本地可审计的个人记忆层——偏好、项目约定、工作流与纠错教训，以带变更日志与完整性校验的 JSON 持久化在工作区，支持一次性设置、项目约定自动提取、证据化教训与快照恢复。

记忆
跳到安装方式

来源信息

GitHub 仓库
863683348/dsh-memory-setup
最近更新
2026年8月19日
分类
记忆
GitHub stars
0

安装

默认先复制一段 Prompt，让 Agent 读页面和仓库；需要自己装时再切到命令。

复制这段 Prompt，发给 DSH、Codex 或其他 Agent，让它先读页面和仓库。

请先不要安装。阅读这个 DeepSeek Harness 插件，说明它解决什么问题、会访问哪些文件、网络或密钥，以及如何安装和卸载。

插件页面：https://deepseekplugins.org/zh/plugins/863683348/dsh-memory-setup
GitHub：https://github.com/863683348/dsh-memory-setup
插件名：dsh-memory-setup
作者：863683348
安装命令：dsh plugin --profile web add github:863683348/dsh-memory-setup

确认前不要执行安装命令。

检查来源文件

安装前先看这个插件目录里的 README 和其他文件。

文件资源管理器2 个文件
README.md来源说明 · 只读预览

dsh-memory-setup

Solve the AI goldfish brain 🐠 — a local, auditable personal memory layer for DeepSeek Harness. Remembers your preferences, project conventions, workflows, and error lessons, and injects them back into every session.

解决 AI 的"金鱼脑"：本地、可审计的个人记忆层——偏好、项目约定、工作方式、纠错教训，会话间自动继承。

Install

dsh plugin --profile <profile> add dsh-memory-setup

Tools

ToolWhat it does
memory_setupOne-time onboarding: language, code style, tools, conventions, workflows
memory_statusRead current memory + changelog (also auto-injected guidance at boot)
memory_updateUpdate one memory path (e.g. preferences.codeStyle) with a changelog entry
memory_projectAuto-extract project conventions from workspace files (README / package.json / configs), preview or apply
memory_lessonRecord an error lesson (error → fix → evidence) so the same mistake is not repeated
memory_reviewv0.2 — formalize an incident into a lesson with root cause; similar lessons are auto-merged (dedupe + hit counter)
memory_exportv0.2 — export the full memory + changelog to a Markdown file for review/backup
knowledge_addv0.3 — add a knowledge entry (title/content/tags/source); similar titles auto-merge
knowledge_searchv0.3 — keyword retrieval (title ×3 / tags ×2 / content ×1 scoring)
knowledge_list / knowledge_removev0.3 — browse / delete knowledge entries
memory_diffv0.4 — diff current memory against memory.json.bak, optionally written to memory-diff.md
memory_review_sessionv0.5 — bulk incident review: submit many failures at once, dedupe per item
memory_snapshot / memory_list_snapshots / memory_restorev0.6 — snapshot the memory (keeps N), list, and restore with auto-backup of the current state
memory_troubleshootv0.6 — given an error, search past lessons + knowledge base for a known fix
memory_statsv0.7 — aggregate stats across memory, knowledge base and snapshots
memory_promotev0.7 — promote recurring lessons (hits ≥ threshold) into standing conventions; auto-runs on save
memory_import / memory_mergev0.8 — import memory from JSON (auto-migrate) / merge two memories (newer or both)
kb_export / kb_importv0.8 — knowledge base JSON round-trip
memory_focusv0.9 — relevance-based injection: only memory matching a topic is injected
memory_tierv1.0 — hot/warm/cold tiers (hot is injected, cold is archived)
memory_auditv1.0 — sha256 integrity check + changelog audit report
memory_import_claudev1.1 — import conventions from CLAUDE.md
memory_export_all / memory_import_allv1.2 — full backup bundle (memory + KB + snapshots)
memory_annotatev1.2 — owner/purpose annotations on entries
knowledge_embedv0.5 — backfill embeddings for KB entries (needs embeddingEndpoint); enables semantic search

Storage & auditability

  • Location: <workspace>/.dsh-memory-setup/memory.json — plain JSON, easy to read/back up
  • Every mutation appends to changelog (when / what / why) — memory is auditable by design
  • Lessons carry an optional evidence field (file/command/observation) — no evidence, no lesson
  • Local-first: nothing leaves your machine

Config (optional)

FieldDefaultDescription
memoryDir.dsh-memory-setupmemory dir relative to the session workspace
injectOnBoottrueinject live memory into the system prompt (dynamic context, refreshed on save)
maxMemoryChars6000cap for rendered memory text
lessonTtlDays90lessons expire after this many days (0 disables)
changelogCap100max changelog entries kept
backupOnSavetruewrite memory.json.bak before every save
reviewRemindertrueappend self-review reminder to guidance
embeddingEndpoint(empty)OpenAI-compatible embeddings endpoint (enables semantic KB search)
embeddingKey(empty)Bearer key for the embeddings endpoint
embeddingModeltext-embedding-3-smallembeddings model name
snapshotKeep10max memory snapshots kept
troubleshootRemindertrueappend troubleshoot/snapshot reminder to guidance

Roadmap

  • v0.2 ✅: incident review with dedupe (memory_review), lesson/convention expiry + changelog cap (auto-pruned on save), memory.json.bak backup on every save, Markdown export (memory_export)
  • v0.3 ✅: personal knowledge base (knowledge_*, keyword retrieval, title-merge dedupe); dynamic memory injection via a live systemPrompt.context() section — refreshed at boot (from the workspace path) and after every memory save (throttled 30s), with static guidance as fallback
  • v0.4 ✅: BM25 retrieval for the knowledge base (title ×3 / tags ×2 / content ×1, IDF-scaled — no embeddings, no deps), memory diff export (memory_diff vs backup), self-review reminder in the injected guidance
  • v0.5 ✅: optional embeddings provider (OpenAI-compatible endpoint; knowledge_embed backfill + cosine retrieval, BM25 fallback), bulk incident review (memory_review_session), own-tool fs failure tracking surfaced into the injected context
  • v0.6 ✅: memory snapshots & restore (memory_snapshot / memory_list_snapshots / memory_restore, capped, index-file based), fault troubleshooting (memory_troubleshoot — lessons + knowledge lookup), troubleshoot reminder in guidance
  • v0.7 ✅: KB included in snapshots (snapshot/restore both memory + knowledge), lesson auto-promotion (recurring lessons with hits ≥ threshold become standing conventions, auto-run on save — the memory literally learns from repeated mistakes), memory stats (memory_stats)
  • v0.8 ✅: schema v2 migration (auto on load), memory import/merge (memory_import/memory_merge, newer/both conflicts), knowledge base JSON round-trip (kb_export/kb_import)
  • v0.9 ✅: lesson health evaluation (failing/resolved/active — auto on save, ⚠️ markers in render), relevance-focused injection (memory_focus)
  • v1.0 ✅: tiers (hot/warm/cold), integrity audit (memory_audit, sha256), privacy redaction in exports (sensitiveKeys)
  • v1.1 ✅: optimistic locking (revision-based CAS — multi-session/multi-agent safe), CLAUDE.md import (memory_import_claude)
  • v1.2 ✅: full backup bundle (memory_export_all/memory_import_all — memory + KB + snapshots), annotations (memory_annotate, owner/purpose) — team-ready
  • v1.3+: lesson auto-detection (pending a tool-call event API), web stats view

Security

Memory plugins are the highest-trust plugin type — see SECURITY.md for the audit posture.

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