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

Tool	What it does
memory_setup	One-time onboarding: language, code style, tools, conventions, workflows
memory_status	Read current memory + changelog (also auto-injected guidance at boot)
memory_update	Update one memory path (e.g. preferences.codeStyle) with a changelog entry
memory_project	Auto-extract project conventions from workspace files (README / package.json / configs), preview or apply
memory_lesson	Record an error lesson (error → fix → evidence) so the same mistake is not repeated
memory_review	v0.2 — formalize an incident into a lesson with root cause; similar lessons are auto-merged (dedupe + hit counter)
memory_export	v0.2 — export the full memory + changelog to a Markdown file for review/backup
knowledge_add	v0.3 — add a knowledge entry (title/content/tags/source); similar titles auto-merge
knowledge_search	v0.3 — keyword retrieval (title ×3 / tags ×2 / content ×1 scoring)
knowledge_list / knowledge_remove	v0.3 — browse / delete knowledge entries
memory_diff	v0.4 — diff current memory against memory.json.bak, optionally written to memory-diff.md
memory_review_session	v0.5 — bulk incident review: submit many failures at once, dedupe per item
memory_snapshot / memory_list_snapshots / memory_restore	v0.6 — snapshot the memory (keeps N), list, and restore with auto-backup of the current state
memory_troubleshoot	v0.6 — given an error, search past lessons + knowledge base for a known fix
memory_stats	v0.7 — aggregate stats across memory, knowledge base and snapshots
memory_promote	v0.7 — promote recurring lessons (hits ≥ threshold) into standing conventions; auto-runs on save
memory_import / memory_merge	v0.8 — import memory from JSON (auto-migrate) / merge two memories (newer or both)
kb_export / kb_import	v0.8 — knowledge base JSON round-trip
memory_focus	v0.9 — relevance-based injection: only memory matching a topic is injected
memory_tier	v1.0 — hot/warm/cold tiers (hot is injected, cold is archived)
memory_audit	v1.0 — sha256 integrity check + changelog audit report
memory_import_claude	v1.1 — import conventions from CLAUDE.md
memory_export_all / memory_import_all	v1.2 — full backup bundle (memory + KB + snapshots)
memory_annotate	v1.2 — owner/purpose annotations on entries
knowledge_embed	v0.5 — 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)

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