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

bash

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

Example:

bash

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

bash

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

Example:

bash

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

Retrieve Entry

Retrieve a specific memory entry by key

bash

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

Example:

bash

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

List Entries

List all entries in a namespace

bash

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

Example:

bash

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

Delete Entry

Delete a memory entry

bash

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

Initialize HNSW Index

Initialize HNSW vector search index

bash

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

Memory Stats

Show memory usage statistics

bash

npx @claude-flow/cli memory stats

Export Memory

Export memory to JSON

bash

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

Scripts

Script	Path	Description
`memory-backup`	`.agents/scripts/memory-backup.sh`	Backup memory to external storage
`memory-consolidate`	`.agents/scripts/memory-consolidate.sh`	Consolidate and optimize memory

References

Document	Path	Description
`HNSW Guide`	`docs/hnsw.md`	HNSW vector search configuration
`Memory Schema`	`docs/memory-schema.md`	Memory namespace and schema reference

Best Practices

•Check memory for existing patterns before starting
•Use hierarchical topology for coordination
•Store successful patterns after completion
•Document any new learnings