Memory Management Skill

Purpose

AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management.

When to Trigger

• need to store successful patterns
• searching for similar solutions
• semantic lookup of past work
• learning from previous tasks
• sharing knowledge between agents
• building knowledge base

When to Skip

• no learning needed
• ephemeral one-off tasks
• external data sources available
• read-only exploration

Commands

Store Pattern

Store a pattern or knowledge item in memory

npx @claude-flow/cli memory store --key "[key]" --value "[value]" --namespace patterns

Example:

npx @claude-flow/cli memory store --key "auth-jwt-pattern" --value "JWT validation with refresh tokens" --namespace patterns

Semantic Search

Search memory using semantic similarity

npx @claude-flow/cli memory search --query "[search terms]" --limit 10

Example:

npx @claude-flow/cli memory search --query "authentication best practices" --limit 5

Retrieve Entry

Retrieve a specific memory entry by key

npx @claude-flow/cli memory get --key "[key]" --namespace [namespace]

Example:

npx @claude-flow/cli memory get --key "auth-jwt-pattern" --namespace patterns

List Entries

List all entries in a namespace

npx @claude-flow/cli memory list --namespace [namespace]

Example:

npx @claude-flow/cli memory list --namespace patterns --limit 20

Delete Entry

Delete a memory entry

npx @claude-flow/cli memory delete --key "[key]" --namespace [namespace]

Initialize HNSW Index

Initialize HNSW vector search index

npx @claude-flow/cli memory init --enable-hnsw

Memory Stats

Show memory usage statistics

npx @claude-flow/cli memory stats

Export Memory

Export memory to JSON

npx @claude-flow/cli memory export --output memory-backup.json

Scripts

References

Best Practices

1. Check memory for existing patterns before starting
2. Use hierarchical topology for coordination
3. Store successful patterns after completion
4. Document any new learnings