@restregular/dsh-memory
DeepSeek Harness 记忆系统(单包单入口):JSONL 存储 + 本地向量检索(BGE-M3)+ 六个模型工具 + 自动召回注入 + 管理面板。
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Install
$
npx -p @deepseek-ai/dsh dsh plugin --profile web add @restregular/dsh-memoryREADME
Read the full README ↗配置
- id: dsh-memory
name: '@restregular/dsh-memory'
config:
storeDir: '~/.dsh/memory-store' # 建议绝对路径;默认 .dsh-memory
scopes:
global: true
project: true
session: true
custom: { enabled: true, max: 200 } # 只统计自定义作用域
retrieval:
topK: 5
recallN: 30
vector:
enabled: true
endpoint: 'http://127.0.0.1:8078/v1/embeddings'
model: bge-m3
dims: 1024
timeoutMs: 300 # 交互检索预算,要紧
writeTimeoutMs: 10000 # 保存时嵌整条记录
backfillTimeoutMs: 30000
backfillMaxChars: 8000
spawn:
enabled: true
exe: '/path/to/llama-server.exe'
model: '/path/to/bge-m3-Q4_K_M.gguf'
cwd: '/path/to/llamacpp' # 目录里要有 llama-server-impl.dll
logFile: '/path/to/llama-server.log'
llm: { enabled: false }
limits: { maxRecordsPerScope: 2000, maxRecordChars: 4000 }
secrets: { enabled: true, mode: refuse } # refuse | redact
tools: { defaultScope: session } # session / project / global
inject:
enabled: true # 整个注入半边总开关
extraScopes: ['handbook'] # 可选:额外参与普通召回的 scope
recall: { enabled: true, topK: 5, tokenBudget: 500 }
impression: { enabled: true, chars: 120 }
digest: { enabled: true, topK: 8, tokenBudget: 800, hintBudget: 160, hintMaxItems: 6 }
policy: { enabled: true }
rules: { enabled: true, maxItems: 10, tokenBudget: 300, delta: true }
turnEnd: { enabled: false }
panel: { route: '/memory/api' }
面板改过的值写入 /settings.json,优先级高于这里的配置。
注入分层各自独立开关;inject.enabled: false 全关,但工具检索不受影响。
只有写了 endpoint、配了 spawn、或面板里装了本地后端,插件才会碰网络;否则一个请求都不发。