Agent Memory Continuity

v1.0.0

Solve the "agent forgot everything" problem with search-first protocol, automated memory sync, and context preservation. No more conversation restarts!

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for highlander89/agent-memory-continuity.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Agent Memory Continuity" (highlander89/agent-memory-continuity) from ClawHub.
Skill page: https://clawhub.ai/highlander89/agent-memory-continuity
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install agent-memory-continuity

ClawHub CLI

Package manager switcher

npx clawhub@latest install agent-memory-continuity
Security Scan
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medium confidence
Purpose & Capability
The name/description (agent memory continuity) align with the scripts and templates: the package creates daily memory files, a MEMORY.md aggregator, and schedules periodic syncs. Nothing in the code requests unrelated credentials or external services. However, the SKILL.md references additional helper scripts (e.g., scripts/configure-search-first.sh, scripts/setup-memory-archival.sh) and templates (cron-jobs-template.txt) that are not present in the provided file list, which is inconsistent with the stated installation steps.
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Instruction Scope
Runtime instructions tell the agent/user to run installer and multiple scripts that read/write files in the workspace and add cron jobs. The scripts do not reach out to network endpoints, but they do: (1) modify the user's crontab to run sync tasks, (2) create/append to files like .memory-config.json, .memory-search-patterns.txt, .memory-sync-log, MEMORY.md, and daily memory files, and (3) expect an external 'memory_search' command to be available (the package does not provide that command). The SKILL.md instructs running scripts that are missing from the bundle, so following the docs may fail or produce unexpected state changes.
Install Mechanism
There is no remote installer declared in the registry metadata; the included install.sh is a local installer (no download/extract). SKILL.md also shows 'git clone' and 'npx clawhub install' as suggested install paths — cloning or npx could pull remote code, but the provided install.sh itself performs only local file operations. The lack of any external download in the included scripts lowers code-delivery risk, but the documentation's suggestion to clone or use npx introduces a potential external fetch step if the user follows that path.
Credentials
The skill declares no required environment variables or credentials. The documentation shows optional envs (MEMORY_SEARCH_THRESHOLD, MEMORY_ARCHIVE_DAYS, MEMORY_RETENTION_MONTHS) for tuning behavior — these are reasonable and not secrets. No secret-exposing variables are requested. That said, the scripts expect a 'memory_search' command provided by the environment; this external dependency is not included or explained in the package.
Persistence & Privilege
The package installs a persistent cron job (user crontab) to run sync-memory.sh every 6 hours and writes persistent files to the workspace (memory/, MEMORY.md, .memory-sync-log). always:false (not force-included) and the skill does not try to modify other skills' configs. Persisting cron entries and log files is a meaningful privilege; users should review/approve the crontab change before installation.
What to consider before installing
This package is not obviously malicious, but it has inconsistencies and makes persistent changes that you should review before installing: - Inspect the scripts locally before running install.sh. The provided scripts only manipulate files and the crontab, but you should confirm there's no hidden network behavior. - Note missing referenced files: SKILL.md mentions scripts/configure-search-first.sh and setup-memory-archival.sh and a cron-jobs template that are not present in the bundle. Ask the publisher why those files are absent or where they come from. - The package expects a 'memory_search' command to exist in the environment; determine whether that is provided by your OpenClaw runtime or a separate plugin. Without it, the 'search-first' behavior won't work and the agent may behave unpredictably. - The installer will modify your user crontab to add a 6-hourly job. Backup your crontab (crontab -l > crontab.bak) and review the crontab diff after activation. If you prefer not to have cron jobs, run the scripts manually on a schedule you control or use the file-based fallback. - Prefer installing in a sandbox or test workspace first (not a production agent workspace) to validate behavior and to confirm there is no unexpected external communication. - If you may follow the SKILL.md's 'git clone' or 'npx' instructions, validate the remote upstream (github.com/sapconet/agent-memory-continuity) and the homepage/contact info (sapconet.co.za) to ensure the source is trustworthy. The package's metadata is otherwise minimal; verify the publisher before using in enterprise contexts. If you want, I can (a) list the exact lines in the scripts that modify crontab and filesystem for quick review, (b) generate a safe-install checklist for this skill, or (c) attempt to identify the missing scripts and where they should come from.

Like a lobster shell, security has layers — review code before you run it.

latestvk9746m9caa1271qdgqt5qfntv98176w2
666downloads
0stars
1versions
Updated 2mo ago
v1.0.0
MIT-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

Enterprise Support

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.

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