Memory Management
- 96 installs
- 67k repo stars
- Updated August 4, 2026
- ruvnet/claude-flow
This is a copy of memory-management by ruvnet - installs and ranking accrue to the original listing.
Helps with ai & agent building tasks during AI-assisted development.
About
memory-management is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- memory-management
- AI & Agent Building
- AI-coding skill
Memory Management by the numbers
- 96 all-time installs (skills.sh)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/ruvnet/claude-flow --skill memory-managementAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 96 |
|---|---|
| repo stars | ★ 67k |
| Last updated | August 4, 2026 |
| Repository | ruvnet/claude-flow ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
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 patternsExample:
npx @claude-flow/cli memory store --key "auth-jwt-pattern" --value "JWT validation with refresh tokens" --namespace patternsSemantic Search
Search memory using semantic similarity
npx @claude-flow/cli memory search --query "[search terms]" --limit 10Example:
npx @claude-flow/cli memory search --query "authentication best practices" --limit 5Retrieve 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 patternsList 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 20Delete 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-hnswMemory Stats
Show memory usage statistics
npx @claude-flow/cli memory statsExport Memory
Export memory to JSON
npx @claude-flow/cli memory export --output memory-backup.jsonScripts
| 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
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
#!/bin/bash
# Memory Management - Backup Script
# Export memory to backup file
set -e
BACKUP_DIR="${BACKUP_DIR:-./.backups}"
TIMESTAMP=$(date +%Y%m%d_%H%M%S)
BACKUP_FILE="${BACKUP_DIR}/memory_${TIMESTAMP}.json"
mkdir -p "$BACKUP_DIR"
echo "Backing up memory to $BACKUP_FILE..."
npx @claude-flow/cli memory export --output "$BACKUP_FILE"
echo "Backup complete: $BACKUP_FILE"
#!/bin/bash
# Memory Management - Consolidate Script
# Optimize and consolidate memory
set -e
echo "Running memory consolidation..."
npx @claude-flow/cli hooks worker dispatch --trigger consolidate
echo "Memory consolidation complete"
npx @claude-flow/cli memory stats
Related skills
Setup Matt Pocock SkillsScaffold the per-repo configuration that Matt Pocock’s engineering agent skills rely on so they understand the issue tracker, triage labels, and domain documentation la495k196k
Lark AppsConnect Claude, Cursor or custom agents directly to Lark (Feishu) for messaging, document automation, approval workflows and enterprise data access.402k
CavemanSlash token usage by roughly 75% while keeping every technical detail intact when working with Claude Code, Cursor or similar agents.391k94.7k
Lark Skill MakerQuickly turn any Lark/Feishu OpenAPI call or multi-step workflow into a reusable agent skill with its own SKILL.md.386k16k
Running Claude Code Via Litellm CopilotRun Claude Code at a fraction of the cost by routing requests through LiteLLM to the GitHub Copilot Chat API.270k72
Codex PetGenerate a complete Codex Pet spritesheet and metadata from one reference image without needing an OpenAI key or Codex Pro.246k10