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feat(memory): add Decision Memory Kind (extract → persist → index → search → evolve) - #424

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feat(memory): add Decision Memory Kind (extract → persist → index → search → evolve)#424
SamhandsomeLee wants to merge 14 commits into
EverMind-AI:mainfrom
SamhandsomeLee:main

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Summary

新增 Decision Memory Kind:把已做出的技术/架构取舍走完 EverOS 主链路。

Extract → Markdown(真相源)→ Cascade → LanceDB → Search/Get → Clustering / Principles / Reflection

Principle 是 Decision 聚类后的 Meta Memory(对标 Episode → Atomic Fact),不是第二种 Kind。

双仓

内容
EverAlgo #6 core 0.6.0 / user-memory 0.8.0 无状态 Decision / Principle 类型;DecisionExtractor(一次 LLM,空列表合法);DecisionReflector(返回 Decision,不是 Principle);PrincipleExtractorsource_entry_idsdc_*);example 08
EverOS(本 PR) Domain from_algo fan-out;daily-log users/<id>/decisions/dc_);Lance decision;OME extract_decision;Cascade handler;Search data.decisions(HYBRID 用 rrf,不用 arank);Get memory_type=decision;sqlite kind=decision 聚类;principles.md + Lance KV + include_principles;并列 Reflection(不改 Episode orchestrator);FakeLLM 闭环测试

EverOS 暂 path-pin 本地 0.8.0。算法侧 没有 session/parent id;由 EverOS 注入。app_id/project_id 只走 writer/cascade。

流程

  1. DecisionExtractor 每 MemCell 一次 LLM(owner_id=None
  2. EverOS Decision.from_algo 按 user sender 写多份 md(丢掉算法 owner/parent)
  3. Cascade 投影到 Lance decision(embed 正文;无 embedder 则 vector=None)
  4. Search 默认可空的 data.decisionskinds 只有 episode/decision
  5. DecisionExtracted(source=pipeline) → 聚类 → extract_principles 写成一份 principles.md(Search 用 include_principles KV,不是 HYBRID)
  6. reflect_decisions(默认关):合并仍是 Decision;旧条目 deprecated_entries / deprecated_bysource=reflection 不再聚类

不变量

  • 不在 EverOS memory/extract/ 写 LLM
  • 无 domain Principle、无 GetMemoryType.PRINCIPLEkinds: ["principle"] → 422
  • 不改 ReflectionOrchestrator
  • 不对 Decision 调 arank

Test plan

  • EverAlgo FakeLLM(空列表 / INIT-UPDATE / source_entry_ids)
  • EverOS unit + import-linter
  • FakeLLM 闭环:输入「我们决定使用 Rust 实现设备 Runtime。」→ search「设备 Runtime 为什么使用 Rust?」召回 data.decisions

Point at the sibling EverAlgo checkout until 0.8.0 is on PyPI; pass required Episode.summary.
Bind session and parent at the domain boundary so one generic extract can fan out per user sender.
One LLM call per memcell fans out to per-user daily logs so Search can consume decisions without a per-sender extractor.
Expose Decision on the read path so user search and get can retrieve instance decisions without treating Principle as a kind or calling arank.
…sters

Keep decision clusters on kind=decision so principle synthesis later
does not mix them into the user_memory episode track.
Reuse ProfileWriter for the single-file rewrite so principle stays
meta memory without vector, BM25, or a product Kind.
Union every decision cluster into one principles.md per user, then attach those KV rows on search when include_principles is set.
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