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Long Memory — DSH Plugin for DeepSeek Harness
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@wwskills/dsh-long-memory

Long Memory

Long-term cross-session memory plugin for DeepSeek Harness (L5 + L7 layers): SQLite-backed, FTS5 + optional embedding recall, append-only audit log, single-bundle dual-face packaging.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:wwskills/dsh-long-memory#1829a85862287ea6456e5efc58015106fb02515b
READMECompatibilityVersions

Compatibility and provenance

Long Memory is published as @wwskills/dsh-long-memory and currently resolves to version 0.2.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
github
Registry updated
8/26/2026

Versions

0.2.0stable
8/26/2026
0.1.0stable
8/25/2026

Related plugins

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Latest
0.2.0
DSH
*
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Unpacked size
Unavailable
Files
Unavailable
Surface
web
License
MIT
Source
github
GitHub
★ 1
Weekly downloads
0
Last push
9/10/2026
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README

@wwskills/dsh-long-memory

Long-term cross-session memory plugin for DeepSeek Harness.

SQLite-backed, FTS5 + optional embedding recall, append-only audit log, L7 auto-extraction. Single-bundle dual-face packaging (Node service + browser UI).

Features

  • 8 mem_* tools — search, record, status, stats, forget, confirm, scope list, scope set
  • FTS5 full-text search with CJK support (works out of the box, zero config)
  • Optional embedding — Ollama (local, zero cost) or any OpenAI-compatible API
  • Hybrid recall — BM25 + vector + RRF fusion when embedding is enabled
  • L7 auto-extraction — automatically extracts memories from conversations on turn/end using your DSH LLM provider (zero extra config)
  • Keyword fallback — if LLM is unavailable, regex-based keyword extraction kicks in
  • File tracks — MEMORY.md session markers + memory/YYYY-MM-DD.md daily notes
  • Audit log — append-only, tracks every memory operation
  • Browser UI — settings tab + memory manager + confirm queue

Install

dsh plugin --profile web add @wwskills/dsh-long-memory

Configuration

Defaults are sensible. Override via your profile's patch layer as needed.

Embedding

ProviderUse caseCost
noneFTS5 keyword only (default)Zero
ollamaLocal Ollama serviceZero (local)
openai-compatibleAny OpenAI-style APIPer-call
- id: long-memory
  config:
    embedding:
      provider: 'ollama'          # 'none' | 'ollama' | 'openai-compatible'
      model: 'bge-m3'
      dimension: 1024
      ollama:
        base_url: 'http://127.0.0.1:11434'

L7 Auto-extraction

L7 reads your DSH LLM provider config automatically — no extra API key needed.

- id: long-memory
  config:
    l7:
      enabled: true               # enable auto memory extraction
      auto_extract: true          # LLM-based + keyword fallback
      extractor_model: ''         # empty = use cheapest model from your DSH config
      extractor_temp: 0.2
      interval_ms: 21600000       # 6h minimum between extractions

Storage

    storage:
      path: '${DSH_HOME}/long-memory/long-memory.db'
      markdown_dir: '${DSH_HOME}/long-memory/markdown'

Tools

ToolPurpose
mem_searchFTS5 + hybrid search across memories
mem_recordPersist a memory; auto-detects scope
mem_statusStorage + recall state
mem_statsAggregate statistics
mem_forgetArchive or delete; writes audit log
mem_confirmApprove/reject queued sensitive memory
mem_scope_listList all scopes
mem_scope_set_activeSet active scope filter

Requirements

  • Node ≥ 22.5 (uses built-in node:sqlite)
  • DeepSeek Harness 0.1.0-rc.2+

License

MIT — see LICENSE.