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Simple Memory Extension

gmacev/simple-memory-extension-mcp-server

Simple Memory is a local, persistent memory layer for AI agents using the Model Context Protocol (MCP).

Install

Client configuration

{
  "mcpServers": {
    "simple-memory": {
      "command": "node",
      "args": [
        "/absolute/path/to/Simple-Memory-Extension-MCP-Server/dist/index.js"
      ]
    }
  }
}
GitHub stars
6
Author
@gmacev
Category
Knowledge Management, Developer Tools
License
MIT
Updated
Oct 6, 2026

About Simple Memory Extension

It gives agents a place to store and recall information across separate chats, tasks, and applications. Memories can contain any JSON data, so the server does not impose a specific workflow or domain.

Tools (21)

  • space_create

    Create a memory space and optional access boundary.

  • space_list

    Find compact, paginated memory spaces by ID or query.

  • space_delete

    Reversibly hide a complete space and everything it contains.

  • space_restore

    Restore a soft-deleted space with all preserved data.

  • memory_create

    Store a new memory.

  • memory_revise

    Add a new immutable revision.

  • memory_merge

    Redirect confirmed duplicates to one canonical memory while preserving them.

  • memory_get

    Read a current or historical memory.

  • memory_get_by_key

    Resolve an exact logical key to its canonical memory.

  • memory_history

    Read revision history.

  • memory_list

    List active memory summaries by default, with filters and pagination.

  • memory_search

    Search by exact text, meaning, metadata, provenance, state, or time.

  • memory_archive

    Reversibly remove a memory from normal recall while preserving it.

  • memory_restore

    Return an archived memory to normal recall.

  • memory_delete

    Permanently erase a memory and all related data.

  • memory_link

    Idempotently create a relationship, including across writable spaces.

  • memory_unlink

    Remove a relationship when both endpoint spaces are writable.

  • memory_traverse

    Explore connected memories across readable spaces with paths, filters, ranking, and pagination.

  • memory_feedback

    Record standardized content or query-specific retrieval feedback for a revision.

  • memory_feedback_list

    Read compact or detailed feedback history.

  • memory_status

    Inspect storage, indexing, and model health.

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

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