agent-memory-continuitySolve the "agent forgot everything" problem with search-first protocol, automated memory sync, and context preservation. No more conversation restarts!
Install via ClawdBot CLI:
clawdbot install Highlander89/agent-memory-continuityDoes 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.
Agent Memory Continuity solves fragmented conversations through a battle-tested search-first protocol that ensures agents never forget previous context.
# 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# 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# Configure mandatory memory search
bash scripts/configure-search-first.sh
# Enables:
# - Pre-response memory searches
# - Context continuity checks
# - Automatic break recovery# Start automated memory synchronization
bash scripts/activate-memory-sync.sh
# Schedules:
# - 6-hourly context updates
# - Daily memory file creation
# - Ongoing project cross-referencingThe skill automatically:
# Add custom search patterns
echo "project_name meeting decision" >> config/search-patterns.txt
# Configure search sensitivity
export MEMORY_SEARCH_THRESHOLD=0.7# Configure archival timing
export MEMORY_ARCHIVE_DAYS=30
export MEMORY_RETENTION_MONTHS=12
# Set up automatic archival
bash scripts/setup-memory-archival.shagent-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.mdBefore Agent Memory Continuity:
After Agent Memory Continuity:
Agent still forgetting conversations:
# Check memory search frequency
bash scripts/test-memory-continuity.sh
# Increase search sensitivity
export MEMORY_SEARCH_THRESHOLD=0.5Memory files growing too large:
# Enable automatic archival
bash scripts/setup-memory-archival.sh
# Configure retention policies
nano config/memory-config.jsonCron jobs not running:
# Check cron status
crontab -l | grep memory
# Reinstall cron jobs
bash scripts/activate-memory-sync.sh --forceLeading OpenClaw enterprise specialists with 6+ months of production experience. We solve the problems others are still discovering.
Services:
Website: https://sapconet.co.za
Contact: hello@sapconet.co.za
Stop agent amnesia. Start agent continuity. Built by the team that solved it first.
Generated Mar 1, 2026
A support agent handling ongoing customer issues across multiple sessions. The skill ensures the agent remembers previous interactions, avoiding repeated questions and maintaining context for complex troubleshooting, leading to faster resolution and higher customer satisfaction.
An AI assistant managing long-term projects with frequent updates and decisions. It preserves context from past meetings and logs, enabling continuity in tracking tasks, deadlines, and stakeholder discussions without restarting conversations each session.
A coordinator handling patient care plans over extended periods. The skill maintains memory of previous consultations, treatment decisions, and patient history, ensuring consistent and personalized follow-ups without losing critical medical context.
An assistant aiding in legal research for ongoing cases. It retains context from prior discussions, case details, and legal precedents, allowing seamless continuation of analysis and reducing the risk of overlooked information across sessions.
A sales agent integrated with CRM systems to manage leads and client interactions. The skill ensures memory of past conversations, deal stages, and client preferences, enabling personalized follow-ups and avoiding repetitive onboarding in multi-session sales cycles.
Offer the skill as a paid subscription service with tiered plans (e.g., basic, pro, enterprise). Revenue is generated through monthly or annual fees, with higher tiers including advanced features like custom memory patterns and priority support.
Sell enterprise licenses with one-time or annual fees, bundled with professional services such as implementation consulting, custom development, and 24/7 technical support. This targets large organizations needing tailored memory management solutions.
Provide a free basic version with limited features (e.g., basic memory sync) to attract users, then upsell to premium plans for advanced capabilities like automated archival, multi-agent sync, and enterprise-grade support. Revenue comes from premium subscriptions.
💬 Integration Tip
Start by initializing the memory protocol and configuring search-first behavior to ensure immediate context preservation; test with simple workflows before scaling to enterprise deployments.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection