Token导航 LogoToken导航TokenDH.com
研究检索external-serviceclawhub未标认证来源可访问clear审计通过

bounded-memory有限内存

Agent Skill

bounded-memory 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

3,525

周安装

144

GitHub Stars

公开资料未说明

下载量

1,129
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:bounded-memory(有限内存)
来源仓库:https://github.com/canmaxfire/bounded-memory
安装命令:
openclaw skills install bounded-memory
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 bounded-memory

简介

提供 OpenClaw 会话历史的快速全文搜索,并带有可选的 LLM 摘要,用于回忆过去的对话和决策。

SKILL.md

name
bounded-memory
description
Gives your OpenClaw AI a perfect memory. Ask things like "did we discuss this before?", "what did we decide about X?", and "find that conversation about Y" — it searches through all your past conversations instantly. Great for recalling decisions, preferences, and context from months ago. Use when: (1) user asks "did we talk about X before?", (2) "search my old conversations", (3) "find what we decided about project Y", (4) "remember what I asked last week". Triggers: "search sessions", "find earlier conversation", "recall past discussion", "what did I say about".
Privacy
search indexing and execution are 100% offline. LLM summarization is opt-in (use --llm flag) and disabled by default. No external API calls without your explicit consent.

Bounded Memory

Gives your OpenClaw AI agent a perfect memory — it can recall anything you've ever discussed, even from months ago.

What It Does

Without this skill: each OpenClaw session starts fresh. The AI forgets everything.

With this skill: ask things like:

  • "Did we discuss X before?"
  • "What did we decide about Y?"
  • "Find that conversation from last month"

Privacy Design

What runsHow
Search indexing✅ 100% offline — SQLite only
Search execution✅ 100% offline — no network calls
LLM summarization⚠️ Opt-in only — use --llm flag to enable

No external API calls by default. The --llm flag (disabled by default) sends snippets to your configured LLM for summarization — only when you explicitly ask for it.

Quick Start

# Index your conversations (first time)
python3 skills/session-search/scripts/index-sessions.py --agent main

# Search (fully offline)
python3 skills/session-search/scripts/search-sessions.py "what did we decide about the logo design"

# Search with AI summary (opt-in)
python3 skills/session-search/scripts/search-sessions.py "question" --llm

What It Solves

ProblemWithoutWith Bounded Memory
"I asked this before but can't remember"AI has no ideaInstant recall
"What did we decide in that meeting?"ForgotSearches all sessions
"Did I mention this before?"No way to knowSearches everything

Example

You: "Search our conversations about the robot project"
→ Found 3 discussions:
  1. [Last week] We discussed the design direction...
  2. [2 weeks ago] You asked about pricing...
  3. [Last month] The AI suggested adding...

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

96.01%
按下载量换算1,084

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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

继续浏览同类 Skills