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memoria

Structured memory system for AI agents. Use when the user wants to store, recall, or search memories, manage session lifecycle (wake/sleep/checkpoint), sync to Notion, or when the user shares important information that should be remembered (facts, decisions, preferences, lessons, commitments, relationships, projects).

作者: admin | 来源: ClawHub
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ClawHub
版本
V 0.2.1
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版本历史

memoria

# Memoria ## Environment Set the vault path so all commands work: ```bash export MEMORIA_VAULT=~/memory ``` If not set, pass `-v ~/memory` on every command. ## Session Lifecycle Run at the start and end of every session: ```bash memoria wake # start session, restore context memoria checkpoint --working-on "<task>" # mid-session save memoria sleep "<summary>" --next "<next steps>" # end session, write handoff ``` ## Storing Memories ```bash memoria remember <type> "<title>" --content "<details>" memoria sync --push # always sync after storing ``` Types: `fact`, `decision`, `preference`, `lesson`, `commitment`, `relationship`, `project` ### What to capture (proactively, without being asked) | Signal | Type | |--------|------| | Human shares personal info (name, location, health, settings) | `fact` | | A decision is made with reasoning | `decision` | | Human says "I prefer / always / never..." | `preference` | | An insight or lesson emerges | `lesson` | | A promise, goal, or deadline is set | `commitment` | | A person is mentioned with context | `relationship` | | An ongoing project is discussed | `project` | **If in doubt, store it.** Better to have a memory you never look up than to forget something. ### Proactive capture triggers Listen for these patterns and store immediately: - "I always...", "I never...", "I prefer..." -> `preference` - "Let's go with...", "We decided...", "The plan is..." -> `decision` - "I learned that...", "Turns out...", "The trick is..." -> `lesson` - "My name is...", "I take...", "I live in...", "I work at..." -> `fact` - "I need to...", "I promised...", "By next week..." -> `commitment` - "Talk to Alice about...", "Bob said..." -> `relationship` - "We're building...", "The project is..." -> `project` ### Examples ```bash memoria remember fact "Human lives in Tokyo" --content "Mentioned during onboarding" memoria remember preference "No emojis in code" --content "Explicitly requested" memoria remember decision "Use Fly.io" --content "Chosen over Vercel for APAC latency" memoria sync --push ``` ## Searching Before making decisions or giving advice, check existing memories: ```bash memoria search "<query>" ``` ## Other Commands ```bash memoria store <category> "<title>" --content "<body>" # store in explicit category memoria list [category] # list documents memoria get <id> # get specific document memoria status # vault stats + session state memoria sync --pull # pull Notion changes to local ``` ## Notion Setup One-time configuration: ```bash memoria setup-notion --token <token> --page <page-id> ``` After setup, always run `memoria sync --push` after storing memories.

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 memoria-1776420080 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 memoria-1776420080 技能

通过命令行安装

skillhub install memoria-1776420080

下载 Zip 包

⬇ 下载 memoria v0.2.1

文件大小: 69.88 KB | 发布时间: 2026-4-17 19:38

v0.2.1 最新 2026-4-17 19:38
Initial open source release of memoria CLI (v0.2.1):

- Added command-line tool for structured memory management (store, recall, search).
- Includes session lifecycle commands: wake, sleep, checkpoint.
- Supports syncing memories to Notion, with setup and push/pull capabilities.
- Memory types: fact, decision, preference, lesson, commitment, relationship, project.
- Full documentation and usage instructions provided.

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