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agent-memory-continuityAgent 记忆连续性

Agent Skill

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。

总安装

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周安装

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GitHub Stars

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下载量

7,155
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: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

简介

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!

SKILL.md

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.*

适合场景

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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

74.68%
按下载量换算5,343

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可疑

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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 warning/failed 结果,不能写成本站确认安全。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。

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