source-command-claude-flow-memory

Store, query, and manage persistent data in the Codex-Flow memory system.

Updated May 11, 2026
One-click install
npx skills add https://github.com/FrekiManagarm/pav-d-mill --skill source-command-claude-flow-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: source-command-claude-flow-memory
Source: https://github.com/FrekiManagarm/pav-d-mill/tree/main/.agents/skills/source-command-claude-flow-memory
Command: npx skills add https://github.com/FrekiManagarm/pav-d-mill --skill source-command-claude-flow-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill simplifies the process of interacting with the Codex-Flow memory system, providing an efficient way to store, query, and manage data across sessions and agents.

Core Features & Use Cases

  • Persistent Storage: Offers cross-session and cross-agent collaboration with CRDT-based conflict resolution.
  • Store Information: Allows storage of key-value pairs with optional namespaces.
  • Query Memory: Facilitates searching across namespaces with filters and limits.
  • Memory Statistics: Provides overall and namespace-specific statistics.
  • Export/Import: Enables backup and restoration of memory data.
  • Cleanup Operations: Manages data retention by cleaning old entries.
  • Namespaces: Utilizes various namespaces for structured data organization.
  • Best Practices: Offers guidelines for naming conventions, organization, and maintenance.

Quick Start

To store information in the Codex-Flow memory system, use the command: ./Codex-flow memory store "key" "value"

Frequently Asked Questions about source-command-claude-flow-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I store and query persistent data across multiple AI agents and sessions?

You can store and query persistent data across multiple agents and sessions by using a memory system with cross-session storage, applying namespaces and filters to organize and retrieve key-value pairs efficiently.

How does CRDT-based conflict resolution work for inter-agent collaboration memory?

CRDT-based conflict resolution ensures data integrity across multiple agents by automatically merging concurrent memory updates without conflicts, enabling reliable collaborative workflows and consistent shared state across sessions.

What is the best way to organize memory namespaces for multi-agent workflow management?

The best way to organize memory namespaces for workflow management is to follow structured naming conventions, grouping related key-value pairs into specific namespaces to maintain data retention and simplify querying across agents.

Can I export and import memory data for backup and restoration across different environments?

Yes, you can export and import memory data to create backups and restore information across different environments, ensuring persistent storage continuity and data integrity for collaborative workflows.

How do I clean up old entries and manage data retention in a persistent memory system?

You can manage data retention in a persistent memory system by using cleanup operations to remove old entries, utilizing namespace-specific statistics to monitor data volume and maintain optimal storage capacity.

Do I need a specific memory system installed to enable cross-session persistent storage?

Yes, cross-session persistent storage requires a compatible memory system to be installed and operational, as the Skill depends on the underlying memory infrastructure to execute storage, querying, and management commands.