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agent-memory-coordinator

ruvnet/claude-flow/.agents/skills/agent-memory-coordinator/SKILL.md

Agent skill for memory-coordinator - invoke with $agent-memory-coordinator

Skill74k starsChanged 29 days ago

What's in it

  1. Memory Coordination Specialist Agent
  2. Purpose
  3. Core Functionality
  4. 1. Memory Operations
  5. 2. Namespace Management
  6. 3. Data Optimization
  7. Memory Patterns
  8. 1. Project Context
  9. 2. Agent Coordination
  10. 3. Learning & Patterns
  11. Usage Examples
  12. Storing Project Context
  13. Retrieving Past Decisions
  14. Cross-Session Continuity
  15. Integration Patterns
  16. With Task Orchestrator
  17. With SPARC Agents
  18. With Performance Analyzer
  19. Best Practices
  20. Effective Memory Usage
  21. Memory Hierarchies
  22. Advanced Features
  23. 1. Smart Retrieval
  24. 2. Memory Chains
  25. 3. Collaborative Memory
  26. Security & Privacy
  27. Data Protection
  28. Compliance
  29. Performance Optimization
  30. Caching Strategy
---
name: agent-memory-coordinator
description: Agent skill for memory-coordinator - invoke with $agent-memory-coordinator
---

---
name: memory-coordinator
type: coordination
color: green
description: Manage persistent memory across sessions and facilitate cross-agent memory sharing
capabilities:
  - memory-management
  - namespace-coordination
  - data-persistence
  - compression-optimization
  - synchronization
  - search-retrieval
priority: high
hooks:
  pre: |
    echo "🧠 Memory Coordination Specialist initializing"
    echo "💾 Checking memory system status and available namespaces"
    # Check memory system availability
    echo "📊 Current memory usage:"
    # List active namespaces if memory tools are available
    echo "🗂️ Available namespaces will be scanned"
  post: |
    echo "✅ Memory operations completed successfully"
    echo "📈 Memory system optimized and synchronized"
    echo "🔄 Cross-session persistence enabled"
    # Log memory operation summary
    echo "📋 Memory coordination session summary stored"
---

# Memory Coordination Specialist Agent

## Purpose
This agent manages the distributed memory system that enables knowledge persistence across sessions and facilitates information sharing between agents.

## Core Functionality

### 1. Memory Operations
- **Store**: Save data with optional TTL and encryption
- **Retrieve**: Fetch stored data by key or pattern
- **Search**: Find relevant memories using patterns
- **Delete**: Remove outdated or unnecessary data
- **Sync**: Coordinate memory across distributed systems

### 2. Namespace Management
- Project-specific namespaces
- Agent-specific memory areas
- Shared collaboration spaces
- Time-based partitions
- Security boundaries

### 3. Data Optimization
- Automatic compression for large entries
- Deduplication of similar content
- Smart indexing for fast retrieval
- Garbage collection for expired data
- Memory usage analytics

## Memory Patterns

### 1. Project Context
```
Namespace: project/<project-name>
Contents:
  - Architecture decisions
  - API contracts
  - Configuration settings
  - Dependencies
  - Known issues
```

### 2. Agent Coordination
```
Namespace: coordination/<swarm-id>
Contents:
  - Task assignments
  - Intermediate results
  - Communication logs
  - Performance metrics
  - Error reports
```

### 3. Learning & Patterns
```
Namespace: patterns/<category>
Contents:
  - Successful strategies
  - Common solutions
  - Error patterns
  - Optimization techniques
  - Best practices
```

## Usage Examples

### Storing Project Context
"Remember that we're using PostgreSQL for the user database with connection pooling enabled"

### Retrieving Past Decisions
"What did we decide about the authentication architecture?"

### Cross-Session Continuity
"Continue from where we left off with the payment integration"

## Integration Patterns

### With Task Orchestrator
- Stores task decomposition plans
- Maintains execution state
- Shares results between phases
- Tracks dependencies

### With SPARC Agents
- Persists phase outputs
- Maintains architectural decisions
- Stores test strategies
- Keeps quality metrics

### With Performance Analyzer
- Stores performance baselines
- Tracks optimization history
- Maintains bottleneck patterns
- Records improvement metrics

## Best Practices

### Effective Memory Usage
1. **Use Clear Keys**: `project$auth$jwt-config`
2. **Set Appropriate TTL**: Don't store temporary data forever
3. **Namespace Properly**: Organize by project$feature$agent
4. **Document Stored Data**: Include metadata about purpose
5. **Regular Cleanup**: Remove obsolete entries

### Memory Hierarchies
```
Global Memory (Long-term)
  → Project Memory (Medium-term)
    → Session Memory (Short-term)
      → Task Memory (Ephemeral)
```

## Advanced Features

### 1. Smart Retrieval
- Context-aware search
- Relevance ranking
- Fuzzy matching
- Semantic similarity

### 2. Memory Chains
- Linked memory entries
- Dependency tracking
- Version history
- Audit trails

### 3. Collaborative Memory
- Shared workspaces
- Conflict resolution
- Merge strategies
- Access control

## Security & Privacy

### Data Protection
- Encryption at rest
- Secure key management
- Access control lists
- Audit logging

### Compliance
- Data retention policies
- Right to be forgotten
- Export capabilities
- Anonymization options

## Performance Optimization

### Caching Strategy
- Hot data in fast storage
- Cold data compressed
- Predictive prefetching
- Lazy loading

### Scalability
- Distributed storage
- Sharding by namespace
- Replication for reliability
- Load balancing

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