Commit Graph

2 Commits

Author SHA1 Message Date
xiaoshuai cb9db666ba memory: 修注入开销、idf 排序与抽取诊断
注入侧
- context 在每次模型请求都触发,改为按 session + 最新用户消息去重:
  一个 turn 里 n 次工具调用不再重复注入 n 个 memory 块
- 默认注入从 1200 字符 / 内联 4 条正文,降到 600 字符 / 内联 0 条:
  大纲已说明存在什么,正文交给 memory_recall 按需取一次,避免每次
  请求都为同一批正文付费
- halfLifeDays 此前被静默丢弃,注入始终按 14 天半衰期排序,现已接通
- 召回缓存 2s -> 500ms,同一工具链里 remember -> recall 能读到刚写的文件

排序
- idf 原先拿「单文件匹配数」当分子、「总文件数」当分母,每个文件得到
  相同 idf,排序退化为纯词频;改为按文档频率计算的真实 idf

抽取
- 移除 400 段上限:它会静默截断长对话,300 轮只贡献前 ~50 轮
- role 在顶层或 message 下两种返回结构都读,之前只读 .role 得到空转录,
  长度门槛不过,抽取看起来永远不触发
- 去重改按关键词重叠计分,不再用 bigram 重叠:模型改写与人工措辞几乎
  不共享 bigram,真实改写只拿到 0.43;关键词是双方被迫共用的词汇
- 新增 memory_extract_dryrun:对真实模型跑完整抽取链路,不必改
  minTurns 或等长会话
- 新增 memory_inspect:诊断记录按 scope 存入 storage key,并保留历史
  与 fires/injected 计数,去重是否生效可被证伪

其他
- Context 改从 Plugin 命名空间导入,此前类型退化为 unknown
- store 暴露 kind 字段;compileRootTables 内联进 compileRoot
- frontmatter 列表元素统一 String(),index 不再出现数字

验证:由仓库所有者端到端验证(真实模型调用、真实会话);提交者未复跑,
以上为 diff 复核结论。
2026-10-12 18:10:40 +08:00
xiaoshuai a64ea2acb3 Add memory plugin: three-tier markdown store with plugin-driven retrieval
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.
2026-10-09 10:17:45 +08:00