memory-management
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. Use when: 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. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/ruvnet/ruflo --skill memory-management- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads memory-management automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
| 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
FAQ
What does the memory-management skill do?
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. Use when: 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. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.
How do I install memory-management?
Run npx skills add https://github.com/ruvnet/ruflo --skill memory-management in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/memory-management/ (personal) or .claude/skills/memory-management/ (project).
Which AI agents can use memory-management?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is memory-management safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains memory-management?
It is published by ruvnet in ruvnet/ruflo. It has 1,190 recorded installs.
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