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lociloci 搜索

Agent Skill

loci 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

10,037

周安装

410

GitHub Stars

公开资料未说明

下载量

3,214
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:loci(loci 搜索)
来源仓库:https://github.com/bayhax/loci
安装命令:
openclaw skills install loci
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install loci

简介

结构化记忆系统使用域、衰减和链接来存储、调用和维护重要的人工智能上下文,作为一个有组织的记忆宫殿。

SKILL.md

name
loci
description
Structured memory system with domains, decay, and links for AI agents. Replaces flat MEMORY.md with a palace of organized, weighted, interconnected memories. Use when: (1) storing important context, decisions, or learnings, (2) recalling prior knowledge before answering, (3) periodic memory maintenance (heartbeat walks), (4) migrating from flat memory files. Based on Method of Loci (memory palace) — forced structure, capacity limits, association links, and natural decay.

loci — Structured Memory for AI Agents

GitHub: https://github.com/bayhax/loci | ClawHub: clawhub install loci

Quick Start

LOCI="node <skill_dir>/scripts/loci.mjs"

# Initialize palace (first time only)
$LOCI init

# Store a memory
$LOCI store work "Switched to Claude Opus model per user preference" --tag model --tag preference

# Recall memories
$LOCI recall "what model does the user prefer"

# Walk through palace (do this during heartbeats)
$LOCI walk

# See overview
$LOCI status

Core Concepts

Domains — Categories that organize memories (like rooms). Each has a capacity limit. Default domains: work, knowledge, people, tools, preferences, archive.

Memories — Individual pieces of context stored in a domain. Each has:

  • Unique ID (e.g. e3a7f2c1)
  • Content text
  • Tags for categorization
  • Links to related memories
  • Weight that decays over time

Decay — Memories lose weight exponentially based on time since last access. Formula: weight = base_weight × e^(-decay_rate × days_since_access) Default decay rate: 0.05 (half-life ≈ 14 days).

Links — Bidirectional connections between related memories across any domain.

Commands

CommandPurpose
initCreate new palace (once)
store <domain> <content>Add memory. Options: --tag, --link
recall <query>Search. Options: --domain, --top N
walkTraverse all memories, report health
pruneRemove decayed memories. Options: --threshold, --dry-run
statusOverview of all domains
inspect <id>View memory details + links
link <id1> <id2>Connect two memories
domainsList/add/remove domains
exportExport as markdown or JSON. Options: `--format md\yaml`

Integration with Heartbeats

During heartbeat walks, run:

$LOCI walk --decay 0.05

This reports domain health, identifies fading memories, and updates the walk timestamp. Periodically follow with $LOCI prune --dry-run to review candidates for removal.

When to Store vs. When to Skip

Store: Decisions, user preferences, environment quirks, lessons learned, important people/relationships, recurring patterns.

Skip: Transient task details, one-off commands, things already in daily memory files.

Rule of thumb: If future-you would benefit from knowing this in 2 weeks, store it.

Palace File

Default location: ~/.openclaw/workspace/loci_palace.json Override with --palace PATH on any command. Format: JSON. Zero external dependencies — only requires Node.js (ships with OpenClaw).

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.34%
按下载量换算2,325

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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