ljsysfurryACE/dsh-memory-director

MemoryDirector plugin for DeepSeek Harness: LLM-driven remember/forget (official harness has no memory)

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What it does

LLM-driven remember/forget memory: after each turn a model decides what to keep (MemoryDirector), injects relevant memories before each step, dedups, and persists cross-session.

Best for

  • Assistants that should remember user preferences or important facts across sessions.
  • Long-running workflows that benefit from retrieving relevant memories before each model step.
  • Users who want a model to decide what to remember and forget, with deduplication and importance decay.

Not ideal for

  • Stateless sessions or privacy-sensitive workflows where information must not persist across conversations.
  • Workflows that cannot afford an additional model decision after each turn.
  • Use cases requiring deterministic, manually curated retention rather than model-selected memories.
  • Environments where a JSON memory store at the configured path cannot be persisted.

README

Awesome DSH Plugin

dsh-memory-director

MemoryDirector 插件 —— 给 DeepSeek Harness 加”长期记忆”能力。

官方 Harness 的 compaction 只做摘要压缩,没有任何”跨会话记住重要事实”的概念。 这个插件补上 AgentFrame 的 MemoryDirector:

  • 每轮对话后:LLM 分析本轮,决定记住什么 / 忘记什么
  • 每次请求前:检索相关记忆,注入模型上下文
  • 持久化:记忆存 JSON 文件(~/.dsh/memory.json)

为什么是差异化

能力 官方 Harness dsh-memory-director
上下文压缩 ✓ compaction ✓ (可配合)
记住重要事实 × 没有 ✓ LLM 决策
跨会话记忆 × ✓ 持久化
记忆检索注入 × ✓ pre-step 注入
遗忘管理 × ✓ 重要度衰减

接入

# profile 的 cordis.patch.yml
- id: memory-director
  name: '@agentframe/dsh-memory-director'
  config:
    provider: deepseek-official
    model: deepseek-v4-flash
    maxTokens: 256
    dedupThreshold: 0.8
    forgetThreshold: 0.1
    storePath: ~/.dsh/memory.json
    auto: true

机制

agent/turn-stopping (每轮结束)
  → 提取本轮文本 → LLM 决策 {remember, forget, importance}
  → remember → 存入记忆库 (去重)
  → forget → 删除过时记忆

agent/pre-step (每次请求前)
  → 取最后用户消息 → 检索相关记忆
  → 注入 system 消息 (memory-director block)
  → 模型可基于记忆回答

配置

字段 默认 说明
provider deepseek-official 决策用 provider
model deepseek-v4-flash 决策用模型 (便宜快速)
maxTokens 256 决策输出上限
dedupThreshold 0.8 记忆去重阈值
forgetThreshold 0.1 遗忘阈值 (重要度衰减)
storePath ~/.dsh/memory.json 持久化路径
auto true 自动挂钩 agent 循环

License

GPL-3.0 © Cloud LTE Studio / AgentFrame

Frequently Asked QuestionsFAQ

Use the verified command dsh plugin --profile default add github:ljsysfurryACE/dsh-memory-director in a DSH-enabled shell. The command resolves the public package metadata and keeps the plugin attached to the catalog identity shown on this page.