Skip to main content
Glama
ethos-zero

Mneme Memory MCP

by ethos-zero
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to Mneme Memory MCP

No user-submitted related servers found.

    Related Servers

    • auxly-memory-cli

      Tzamun-Arabia-IT-Co
      A
      license
      Not graded
      quality
      A
      maintenance
      Local-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.
      2
      MIT

    • Caduceus Memory MCP

      ethos-zero
      A
      license
      A
      quality
      C
      maintenance
      A local shared-memory MCP server for Claude, Codex, Hermes, and other MCP-aware agents, providing a durable memory layer with Markdown files and SQLite fact store.
      6
      MIT

    • memmd-mcp

      matamong
      A
      license
      B
      quality
      D
      maintenance
      A shared memory layer for AI agents — one memory.md synced across Claude Desktop, Cursor, Claude Code, OpenAI Codex, and any MCP client.
      4
      2
      MIT

    • Agentic Memory

      ArkaAiAdmin
      A
      license
      A
      quality
      B
      maintenance
      MCP server for persistent, cross-session, local-first memory for AI agents, storing memories as Markdown files with SQLite indexing for hybrid search.
      24
      Apache 2.0
    • hive-memory by hivemem-dev

      hive-memoryofficial

      hivemem-dev
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for personal and shared memory with full-text search (SQLite FTS5) and outcome tracking, compatible with any MCP agent like Claude Code, Cursor, and Codex CLI.
      6 npm
      MIT

    • server-memory

      MK-986123
      A
      license
      A
      quality
      C
      maintenance
      A local-first MCP server for durable agent memory using SQLite and FTS5, enabling knowledge graph storage, search, and recall for AI agents.
      20
      1
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: add, list, remove, search, summary, update. There is no conceptual overlap; an agent can easily select the correct tool.

    Naming Consistency5/5

    All tools follow a consistent 'memory_verb' pattern using snake_case. The naming is predictable and aids discoverability.

    Tool Count5/5

    Six tools is an ideal count for a focused memory server. Each tool addresses a specific need without bloat, covering core CRUD and search operations.

    Completeness4/5

    The tool surface covers add, read (list, search, summary), update, and delete. Missing a bulk operation (e.g., clear memory) is a minor gap but not critical for typical usage.

    Maintenance

    ActivitySlowing
    ResponsivenessSyncing

    Resources