According to AlphaMoat, as of 2026-09, Agent Memory Continuity has 1,737 downloads and 0 stars — ranked #4,620 of 5,078 AI skills overall, and #907 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 40 | 1.4K | - | - |
| SkillHub ↗ | 106 | 1.7K | - | — |
Platforms count differently and update at different times.
The primary provides scripts for initializing a memory structure, configuring search-first behavior, enabling synchronization, archiving, and troubleshooting. It also describes daily notes and cross-session context maintenance. Claims such as “never forget” are promotional statements, not independently verified outcomes in the supplied material. Review scripts, scheduled jobs, access scope, and retention settings before deployment.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 1.7K | — | - |
| 2026-08 | 1.4K | +7.2% | - |
| 2026-07 | 1.3K | +19.1% | - |
| 2026-06 | 1.1K | +8.9% | - |
| 2026-05 | 992 | — | - |
| 2026-03 | 685 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
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 ProblemDoes 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
```bash
# 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
```bash
# 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
```bash
# 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
```bash
# 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
```bash
# 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
```bash
# 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:**
```bash
# Check memory search frequency
bash scripts/test-memory-continuity.sh
# Increase search sensitivity
export MEMORY_SEARCH_THRESHOLD=0.5
```
**Memory files growing too large:**
```bash
# Enable automatic archival
bash scripts/setup-memory-archival.sh
# Configure retention policies
nano config/memory-config.json
```
**Cron jobs not running:**
```bash
# 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: [email protected]
- 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:** [email protected]
---
*Stop agent amnesia. Start agent continuity. Built by the team that solved it first.*Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.