·memories-mcp
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memories-mcp

MCP server integration for memories.sh — the persistent memory layer for AI agents. Use when: (1) Configuring the memories.sh MCP server for any client (Claude Code, Cursor, Windsurf, VS Code, v0, Claude Desktop, OpenCode, Factory), (2) Using MCP tools to store, search, or retrieve memories programmatically, (3) Understanding get_context vs search_memories vs list_memories, (4) Working with streaming memory tools for SSE content, (5) Troubleshooting MCP connection issues, (6) Choosing between cloud MCP (HTTP) and local MCP (stdio) transports.

27Installs·1Trend·@webrenew

Installation

$npx skills add https://github.com/webrenew/memories --skill memories-mcp

How to Install memories-mcp

Quickly install memories-mcp AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/webrenew/memories --skill memories-mcp
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: webrenew/memories.

SKILL.md

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Connect AI agents to the memories.sh memory layer via MCP (Model Context Protocol).

The CLI is the primary interface for memories.sh — use memories generate to create native config files for each tool. The MCP server is a fallback for real-time access when static configs aren't enough. It's also the best choice for browser-based agents (v0, bolt.new, Lovable) where the CLI can't run.

Always start with getcontext — it returns active rules + relevant memories in one call:

MCP server integration for memories.sh — the persistent memory layer for AI agents. Use when: (1) Configuring the memories.sh MCP server for any client (Claude Code, Cursor, Windsurf, VS Code, v0, Claude Desktop, OpenCode, Factory), (2) Using MCP tools to store, search, or retrieve memories programmatically, (3) Understanding get_context vs search_memories vs list_memories, (4) Working with streaming memory tools for SSE content, (5) Troubleshooting MCP connection issues, (6) Choosing between cloud MCP (HTTP) and local MCP (stdio) transports. Source: webrenew/memories.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/webrenew/memories --skill memories-mcp
Category
</>Dev Tools
Verified
First Seen
2026-02-20
Updated
2026-03-11

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Quick answers

What is memories-mcp?

MCP server integration for memories.sh — the persistent memory layer for AI agents. Use when: (1) Configuring the memories.sh MCP server for any client (Claude Code, Cursor, Windsurf, VS Code, v0, Claude Desktop, OpenCode, Factory), (2) Using MCP tools to store, search, or retrieve memories programmatically, (3) Understanding get_context vs search_memories vs list_memories, (4) Working with streaming memory tools for SSE content, (5) Troubleshooting MCP connection issues, (6) Choosing between cloud MCP (HTTP) and local MCP (stdio) transports. Source: webrenew/memories.

How do I install memories-mcp?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/webrenew/memories --skill memories-mcp Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/webrenew/memories

Details

Category
</>Dev Tools
Source
skills.sh
First Seen
2026-02-20