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hmem — Humanlike Memory for AI Agents

Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.

Database stdio npm npmstdioBumblebiber
RUN IN TERMINAL
claude mcp add umblebiber-hmem-mcp -- npx -y hmem-mcp
ADD TO claude_desktop_config.json
{ "mcpServers": { "umblebiber-hmem-mcp": { "command": "npx", "args": ["-y", "hmem-mcp"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "umblebiber-hmem-mcp": { "command": "npx", "args": ["-y", "hmem-mcp"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "umblebiber-hmem-mcp": { "command": "npx", "args": ["-y", "hmem-mcp"] } } }

About This MCP Server

The hmem-mcp server provides a persistent 5-level hierarchical memory for AI agents, utilizing SQLite as its backend and implementing lazy loading for efficient data retrieval. It connects to AI coding assistants through standard input/output interfaces, enabling them to store and retrieve data in a structured manner. Developers would use this server when building applications that require a reliable and organized memory system for their AI agents, such as those using Claude Code or Cursor.

Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with database capabilities via the stdio transport.

Package

hmem-mcp on npm

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.

What tools does it provide?

The hmem — Humanlike Memory for AI Agents server extends your AI assistant with database capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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