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memories-cli

Manage AI agent memories via CLI with SQLite and cloud sync.

35|4|Updated Jan 30, 2026
Search Tags:#workflow#cli#ai#agent#configuration#memory
One-click install
npx skills add https://github.com/webrenew/memories --skill memories-cli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memories-cli
Source: https://github.com/webrenew/memories/tree/main/skills/memories-cli
Command: npx skills add https://github.com/webrenew/memories --skill memories-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the management of AI agent memories by providing a single CLI interface to store, recall, and generate configurations for various AI tools, eliminating the need to manage multiple instruction formats.

Core Features & Use Cases

  • Unified Memory Store: Add memories once and generate native configs for multiple AI tools (Claude, Cursor, Copilot, etc.).
  • Configuration Generation: Automatically create tool-specific configuration files from your stored memories.
  • Use Case: When setting up a new AI coding assistant, use this Skill to initialize its memory and generate its configuration files, ensuring it has access to all your project rules and decisions from the start.

Quick Start

Initialize memories.sh in your current project to set up AI tool configurations.

Frequently Asked Questions about memories-cli

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

FAQPage Schema
How do I manage AI agent memory across different coding assistants like Claude and Cursor?▼

Consolidate AI agent memory by using a CLI to store project rules once and automatically generate native configuration files for Claude, Cursor, and Copilot. This eliminates the need to manually update different instruction formats.

What is the best way to sync AI agent memory across multiple devices?▼

Sync AI agent memory across devices by enabling optional cloud synchronization. It operates with a local SQLite database by default, allowing you to push and pull consolidated memory data for persistent cross-device access.

How do I initialize configuration files for a new AI coding assistant?▼

Initialize configuration files for a new AI coding assistant by running the CLI in your project directory. It sets up the memory layer and generates tool-specific configurations, ensuring immediate access to stored project decisions.

Does the unified memory layer CLI require a cloud database to function?▼

The unified memory layer CLI does not require a cloud database to function. It operates locally using a built-in SQLite database for storing and recalling memories, while cloud syncing remains an optional feature for cross-device access.

Can I generate tool-specific configurations from a single stored memory?▼

You can generate tool-specific configurations from a single stored memory. The CLI takes your unified memory entries and translates them into the native configuration formats required by various AI tools, ensuring consistent agent instructions.

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