xiaoshuai
a64ea2acb3
A durable memory layer for OpenCode. Structure:
ROOT.md total plan: goals, hard rules, directory registry,
and a scenario -> file routing table
<category>/
index.md one line per file, COMPILED from frontmatter
<slug>.md the memory itself
Two roots, same shape: <config>/memory/ (global) and
<project canonical>/.memory/ (project). Project wins on conflict; global
hard rules stay resident everywhere.
Why a plugin rather than a skill that tells the model to read a folder:
model-driven retrieval is unreliable — the model forgets, reads half the
files, or reads the wrong ones. Markdown is the human-facing format; the
plugin is the engine that parses, scores, and injects.
Measured, not assumed: FTS5's two built-in tokenizers both fail on this
corpus. On SQLite 3.53.4 with "部署脚本用 pnpm 而不是 npm...": unicode61
emits 7 terms for the whole sentence and matches 0 hits for "部署";
trigram needs >= 3 characters and also returns 0 for that two-character
word. So tokenization happens in the plugin (CJK bigrams, latin words)
and no SQL index is used — a thousand memories are fine to scan.
index.md and ROOT's two tables are compiled, never hand-edited: a
hand-maintained index drifts, a generated one cannot. Hit counters live
in .state.json so cross-device sync does not conflict on every recall.
Tools are named recall/remember/forget/inspect rather than
write/read/status: generic names were observed shadowing the harness's
own built-in tools.
9 lines
315 B
Markdown
9 lines
315 B
Markdown
# pitfalls 索引
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| 文件 | 概述 | 重点 |
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| sqlite-cjk-tokenizer.md | unicode61 把整段中文当一个 token，trigram 漏掉两字词，必须自己分词。 | 实测：unicode61 查"部署"=0 命中；trigram 查"部署"=0 命中（需≥3字符） |
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