@dsh-kit/agent-memory

Self-evolving memory for DeepSeek Harness — 越用越懂用户与项目的自进化记忆插件

A first-party-grade memory seam for DSH: capture → dream consolidation → retrieval injection → evolve. Built on the one asset Claude Code and Codex structurally lack — the replayable, typed session log — so every memory carries provenance back to the exact events that produced it.

记忆模型	分层信念库：用户画像 / 项目记忆 / 会话 / 全局，每条带置信度、重要性、溯源
自进化	梦境整合（Dream）：后台合并去重、淘汰过时、刷新"上次进展"叙事（Claude Code AutoDream / ChatGPT Dreaming 的 DSH 落地）
纠错即学	用户纠正 → 自动学习 → 覆盖旧信念（历史保留可审计）
个性化	用户级信念常驻注入（冻结快照，≤2k token），按需 BM25 检索
治理	写入即建议（suggested），人工确认生效；明文本地存储；零原生依赖

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Install / 安装

dsh plugin --profile web add @dsh-kit/agent-memory
dsh --profile web

Or link a local checkout: dsh plugin --profile web add "link:/absolute/path/to/dsh-agent-memory"

What it gives you / 它提供什么

The service: ctx.memory

Any plugin can inject: ['memory'] and use:

await ctx.memory.remember({ content: '用户偏好 pnpm 而非 npm', scope: 'user', kind: 'preference' })
const hits = await ctx.memory.search('pnpm')        // BM25, ranked by relevance × confidence × importance
await ctx.memory.confirm(id)                        // suggested → active
await ctx.memory.forget(id)                         // archive (history kept)
const stats = await ctx.memory.stats()
await ctx.memory.dream(true)                        // force consolidation pass

The tools (7, for the model)

memory_save · memory_search · memory_list · memory_confirm · memory_forget · memory_profile · memory_dream

Correction learning is not a tool — the service watches session events and learns from corrections itself.

The dream (self-evolution)

A background pass (gated: interval + session count + lock file, PID + 1h stale) that: