Skip to main content
Glama
gpitrella

Memxus

by gpitrella
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Related Servers

Alternatives to Memxus

Related Servers

  • forgein by forgeinai

    forgeinofficial

    forgeinai
    F
    license
    Not graded
    quality
    B
    maintenance
    Persistent context layer for AI coding assistants. Sync memory files from Claude Code to ChatGPT, Gemini, Cursor, Windsurf, and Copilot via a native MCP endpoint. Bearer token auth, JSON-RPC 2.0 over stateless HTTP. Free tier available.
    -

  • Ace Context MCP

    Dw-Dwain
    A
    license
    Not graded
    quality
    A
    maintenance
    Persistent, local-first memory for your AI chats. Save context in one chat, load it in another — across Claude web, Claude Code, Cursor, Cline, and Claude Desktop. One store, on your own disk, reachable from every tool via MCP, CLI, REST, or SDK.
    1,095 npm
    Apache 2.0
  • booklib by booklib-ai

    booklibofficial

    booklib-ai
    A
    license
    Not graded
    quality
    D
    maintenance
    A context engineering tool for AI coding assistants that detects post-training knowledge gaps, resolves them automatically, and delivers team decisions via MCP to Claude, Cursor, Copilot, and other AI tools.
    17 npm
    38
    MIT

  • Context Bridge

    Codinglone
    A
    license
    Not graded
    quality
    C
    maintenance
    A unified context layer that connects your local data — repositories, documents, remote machines, and notes — to LLM interfaces through the Model Context Protocol (MCP).
    3
    MIT

  • Tages

    ryantlee25-droid
    A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI coding agents to maintain persistent, cross-session memory of codebase architecture, naming conventions, and decisions through MCP tools. Eliminates repetitive project re-explanation by automatically injecting stored context into every session with local-first SQLite storage and optional team sharing capabilities.
    4
    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

A4.5/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: saving, listing, retrieving by ID, and building context. Descriptions provide detailed usage guidance and boundary conditions, making misselection unlikely.

Naming Consistency3/5

Three tools follow verb_noun pattern ('list_memories', 'get_context', 'get_memory'), but 'remember' is a bare verb, breaking consistency. The names are still readable and indicative of function.

Tool Count5/5

Four tools is a well-scoped set for a memory management system, covering the essential actions without unnecessary clutter.

Completeness3/5

The set covers create, list, and single retrieval, and includes a context builder. However, a delete/forget tool is missing, which is a notable gap for memory maintenance.

Maintenance

ActivityStale
ResponsivenessUnresponsive

Resources