Hi, I recently released an open indexing-layer project called SCBKR Memory Index.

[HIJO790401]

各位好，我最近公開了一個開放索引層專案：SCBKR Memory Index
不是完整治理引擎，而是面向長期 AI 記憶組織的結構化索引框架。
我在看你們這類 memory / long-term memory / stateful agent 專案時，發現大多數方案都很強調：
retrieval
persistence
memory layer
context continuity
但比較少明確處理：
誰是這筆記憶的主體
為什麼這筆記憶被留下
這筆記憶的邊界在哪
關鍵依據是什麼
最後誰為這筆記憶負責
所以我把記憶索引拆成 SCBKR：
S = Subject
C = Cause
B = Boundary
K = Key Evidence
R = Responsibility
這不是在取代你們的系統，而是提供一個開放式索引層視角：
讓長期記憶不只是「撈得到」，也能往 可重播、可稽核、可路由、可追責 的方向走。
如果你們有興趣，這是我的公開展示與 repo：
網站： https://hijo790401.github.io/scbkr-memory-index/main-root/index.html#download
Repo： https://github.com/HIJO790401/scbkr-memory-index
我很好奇你們怎麼看「Responsibility-aware memory indexing」這條路。
English
Hi, I recently released an open indexing-layer project called SCBKR Memory Index.
It is not a full governance engine.
It is an open framework for long-term AI memory organization.
While looking at projects in the memory / long-term memory / stateful agent space, I noticed that many systems are strong on:
retrieval
persistence
memory layers
context continuity
But fewer systems explicitly structure:
who the subject of a memory item is
why that memory is kept
what its boundary is
what the key evidence is
who is responsible for it
So I split memory indexing into SCBKR:
S = Subject
C = Cause
B = Boundary
K = Key Evidence
R = Responsibility
The point is not to replace your system, but to offer an open indexing-layer perspective for long-term memory that is not only retrievable, but also more replayable, auditable, routable, and responsibility-aware.
If useful, here is my public demo and repo:
Website: https://hijo790401.github.io/scbkr-memory-index/main-root/index.html#download
Repo: https://github.com/HIJO790401/scbkr-memory-index
I’d be curious how you see the role of responsibility-aware memory indexing in this space.