mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-09-22 00:32:49 +00:00
- Introduce Application class for managing application lifecycle - Add base component classes for LLM formatters and token counters - Implement embedding model base with caching and batching support - Create file watcher base with watchfiles integration - Add job and step base components for workflow execution - Update base component with async locks and improved lifecycle management - Register new component types in component registry - Add application context and runtime context for dependency injection
89 lines
1.6 KiB
Markdown
89 lines
1.6 KiB
Markdown
# all @jinli
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reme help
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reme start
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reme restart
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reme version
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reme vault="My Vault"
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# daily
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daily:path
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reme daily:xxx
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# crud
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reme create file="New Note" content="# Hello" title="xxx" tags="[]" status=""
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reme read file=Recipe/path="Templates/Recipe.md"
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reme edit file=Recipe/path="Templates/Recipe.md" old="xxx" new="xxx"
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reme append file="My Note" content="New line"
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reme prepend file="My Note" content="New line"
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reme delete file="My Note"/path
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# reme
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reme stat file/path
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reme list file/path
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# search
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reme search query="search term" limit=10 tag="[]" score=0.1 copy=true
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# property
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reme property:read
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reme property:update file="My Note" status=done xx=xxx
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reme property:delete keys="[xxxx, xxxx]"
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# 全局所有标签
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reme tags
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# show link
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reme backlinks file="My Note"
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reme links file="My Note"
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[[Algorithm Notes#Sorting]]
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记忆的类型
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1. daily -> daily/xxxx-mm-dd/overview.md -> xxxx.md
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2. topic -> topic/personal(agent)/xxxx.md
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记忆的被动总结
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1. 是否需要:是需要,不会主动触发
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2. 什么时候调用:
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- freq (every_n_turn、compact) -> daily_summarizer
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- topic (/dream ) -> topic_summarizer(daily_xx -> topic_xx)
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- proactive -> proactive_summarizer(personal_xxx -> proactive_query)
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- pre_query
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记忆的搜索
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file watch
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- start 全量扫描 -> 文件变化结果
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- 增量扫描 -> 文件变化结果
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如果有变化,检测 增加、删除、修改 cud:
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1. file -> metadata 存json
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- path
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- mtime
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- header: tags/kv/title/desc
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2. file -> link 存json
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- 读全量修改的文件的全量,识别link
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3. file -> chunk 存db/json
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- 切片 -> file+start+end: preview(100)
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