Monday, March 2, 2026

Introducing Bumblebiber/hmem: Advanced Humanlike Persistent Memory for AI Agents — MCP Server Featuring 5-Level Lazy-Loaded SQLite Memory Compatible with Claude Code, Gemini CLI, Cursor, Windsurf, and OpenCode.

Introducing hmem: Revolutionizing AI Memory Management

Unlock the potential of AI with hmem, a groundbreaking Model Context Protocol (MCP) server that provides AI agents with persistent, human-like memory. Here’s what you need to know:

  • Persistent Memory: Unlike conventional AI agents that forget everything after a session, hmem allows agents to recall past decisions and context.

  • 5-Level Memory Structure:

    • Level 1: Coarse summary (always loaded on spawn)
    • Level 5: Full verbatim detail (retrieved on demand)
  • Efficiency and Precision:

    • Avoid redundant tasks and ensure consistency with a true memory hierarchy.
    • Utilize favorite tags and access counts for effortless retrieval of vital information.
  • Easy Integration: Simple installation via npm; comprehensive documentation and examples included.

With hmem in your toolkit, support your AI agents to operate seamlessly across multiple sessions and machines.

Ready to enhance your AI experience? Share this post and join the conversation on the future of AI memory! #AI #hmem #ArtificialIntelligence

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