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Agent Skill · 研究检索

agent-memory-continuity(Agent 记忆连续性)

agent-memory-continuity 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。

agent-memory-continuity 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 6,949。

总安装 20,434周安装 860GitHub Stars 公开资料未说明下载 7,155核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:agent-memory-continuity(Agent 记忆连续性)
来源仓库:https://github.com/highlander89/agent-memory-continuity
安装命令:
openclaw skills install agent-memory-continuity
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 agent-memory-continuity

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

通过搜索优先协议、自动内存同步和上下文保存解决“代理忘记一切”问题。不再有对话重新开始!

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install agent-memory-continuity;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

agent-memory-continuity 怎么安装?

在终端执行 openclaw skills install agent-memory-continuity。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

agent-memory-continuity 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

agent-memory-continuity 需要什么权限?

权限级别是需要联网。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。

agent-memory-continuity 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

agent-memory-continuity 用的人多吗?

公开数据是累计安装 20,434 次,近一周安装 860 次,下载 7,155 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

agent-memory-continuity 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-memory-continuity

Agent 记忆连续性 · 本页

20,434—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
agent-memory-continuity
description
Solve the "agent forgot everything" problem with search-first protocol, automated memory sync, and context preservation. No more conversation restarts!
homepage
https://sapconet.co.za
metadata
{"clawhub": {"emoji": "🧠", "tags": ["memory", "continuity", "agent-management", "enterprise"], "author": "SAPCONET", "version": "1.0.0"}}

Agent Memory Continuity 🧠

The Problem

Does your OpenClaw agent suffer from "conversation amnesia"? Starting fresh every session? Forgetting previous discussions, decisions, and context? You're not alone - this is the #1 frustration with AI agents.

The Solution

Agent Memory Continuity solves fragmented conversations through a battle-tested search-first protocol that ensures agents never forget previous context.

Why This Skill?

  • ✅ Solves universal pain point - Every OpenClaw user faces memory issues
  • ✅ Battle-tested solution - Proven in production environment
  • ✅ Immediate impact - No more "agent broke and forgot everything"
  • ✅ Enterprise-grade - Professional memory management system

Use When

  • Agent conversations keep "starting fresh"
  • Previous context gets lost between sessions
  • Users complain "we already discussed this"
  • Enterprise environments requiring conversation continuity
  • Multi-session agent workflows

Don't Use When

  • Single-use, stateless interactions
  • Agents with no conversation history requirements
  • Simple query/response scenarios

Features

🔍 Search-First Protocol

  • Mandatory memory search before responding to ongoing topics
  • Red flag detection for conversation continuity breaks
  • Automatic context reconstruction from memory files

📝 Automated Memory Sync

  • 6-hourly memory context synchronization
  • Daily memory file creation and updates
  • Cross-referencing of ongoing projects and conversations

🧠 Context Preservation

  • Daily memory logging discipline
  • Persistent insight tracking
  • Conversation thread continuity maintenance

🚨 Break Detection

  • Identifies when agent "forgets" previous context
  • Automatic recovery through memory search
  • User frustration prevention system

Installation

# Install via ClawHub
npx clawhub install agent-memory-continuity

# Or clone directly
git clone https://github.com/sapconet/agent-memory-continuity.git
cd agent-memory-continuity
bash install.sh

Quick Start

1. Initialize Memory Protocol

# Set up memory structure
bash scripts/init-memory-protocol.sh

# Creates:
# - AGENT_MEMORY_PROTOCOL.md (search-first rules)
# - memory/YYYY-MM-DD.md (daily context files)
# - Memory sync cron jobs

2. Configure Search-First Behavior

# Configure mandatory memory search
bash scripts/configure-search-first.sh

# Enables:
# - Pre-response memory searches
# - Context continuity checks
# - Automatic break recovery

3. Activate Memory Sync

# Start automated memory synchronization  
bash scripts/activate-memory-sync.sh

# Schedules:
# - 6-hourly context updates
# - Daily memory file creation
# - Ongoing project cross-referencing

Usage

Basic Memory Protocol

The skill automatically:

  1. Searches memory before responding to ongoing topics
  2. Detects red flags ("we discussed this", "remember when")
  3. Reconstructs context from memory files when breaks detected
  4. Logs decisions to daily memory files
  5. Syncs context across sessions

Advanced Configuration

Custom Memory Search Patterns
# Add custom search patterns
echo "project_name meeting decision" >> config/search-patterns.txt

# Configure search sensitivity
export MEMORY_SEARCH_THRESHOLD=0.7
Memory Archival Rules
# Configure archival timing
export MEMORY_ARCHIVE_DAYS=30
export MEMORY_RETENTION_MONTHS=12

# Set up automatic archival
bash scripts/setup-memory-archival.sh

File Structure

agent-memory-continuity/
├── SKILL.md
├── install.sh
├── scripts/
│   ├── init-memory-protocol.sh
│   ├── configure-search-first.sh
│   ├── activate-memory-sync.sh
│   ├── setup-memory-archival.sh
│   └── test-memory-continuity.sh
├── templates/
│   ├── AGENT_MEMORY_PROTOCOL.md
│   ├── daily-memory-template.md
│   └── cron-jobs-template.txt
├── config/
│   ├── search-patterns.txt
│   └── memory-config.json
└── docs/
    ├── troubleshooting.md
    └── enterprise-setup.md

Real-World Results

Before Agent Memory Continuity:

  • ❌ "Billy broke and forgot everything"
  • ❌ Constant conversation restarts
  • ❌ Lost context and decisions
  • ❌ User frustration and lost productivity

After Agent Memory Continuity:

  • ✅ Perfect conversation continuity
  • ✅ Context preserved across sessions
  • ✅ Decisions and discussions remembered
  • ✅ User satisfaction and trust restored

Enterprise Features

Production Deployment

  • Multi-agent memory synchronization
  • Team conversation continuity
  • Enterprise memory governance
  • Audit trails and compliance

Professional Support

  • Implementation consulting
  • Custom memory pattern development
  • Enterprise integration services
  • 24/7 technical support

Troubleshooting

Common Issues

Agent still forgetting conversations:

# Check memory search frequency
bash scripts/test-memory-continuity.sh

# Increase search sensitivity  
export MEMORY_SEARCH_THRESHOLD=0.5

Memory files growing too large:

# Enable automatic archival
bash scripts/setup-memory-archival.sh

# Configure retention policies
nano config/memory-config.json

Cron jobs not running:

# Check cron status
crontab -l | grep memory

# Reinstall cron jobs
bash scripts/activate-memory-sync.sh --force

Support

Community Support

  • GitHub Issues: https://github.com/sapconet/agent-memory-continuity/issues
  • Documentation: https://docs.sapconet.co.za/memory-continuity
  • Examples: https://github.com/sapconet/agent-memory-continuity/examples

Enterprise Support

  • Email: support@sapconet.co.za
  • Professional Services: https://sapconet.co.za/openclaw-consulting
  • Phone: +27 (0)53 123 4567

About SAPCONET

Leading OpenClaw enterprise specialists with 6+ months of production experience. We solve the problems others are still discovering.

Services:

  • Enterprise OpenClaw deployments
  • Custom skill development
  • Agent workforce consulting
  • 24/7 technical support

Website: https://sapconet.co.za Contact: hello@sapconet.co.za


*Stop agent amnesia. Start agent continuity. Built by the team that solved it first.*

平台分布

OpenClaw

74.68%
按下载量换算5,343

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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