"A tool or guide for creating a memory card game" matching MCP servers:

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

Persists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.

Enables AI assistants to maintain a persistent, local memory using SQLite with ranked full-text search, German morphological matching, and two-axis filing, all without external services.

Lets AI clients store, retrieve, update, and forget long-term facts in a local SQLite database with deterministic lexical search, sharing the same memory across multiple clients without relying on model APIs or embedding services.

A notes app that becomes your second brain. Open source, private, encrypted when you want it, and every file stays yours. Mac, Windows, Linux and self host!

Turns your PDFs into locally stored flashcards and quizzes, grades your answers, and schedules spaced-repetition reviews entirely on your machine.

Automatically records AI conversation turns and code changes to local Markdown files to provide persistent context across chat sessions. It enables AI agents to search history through MCP tools and provides a web viewer for browsing past discussions.

Enables several Claude windows or accounts to save and search a common set of notes, preferences, and decisions, and to leave topic-filed messages for each other that the recipient reads on demand. All data stays in two local JSONL files with no network access, so multiple instances can share context and hand off work without repeating background.

Provides cross-session persistent memory for coding agents via MCP tools to store, retrieve, and manage notes with hybrid keyword/semantic search and automatic deduplication.

Provides a shared, persistent memory layer for AI assistants, letting them read and write to a local Obsidian vault through MCP with validation, secret rejection, and deduplication.

Stores markdown knowledge notes in SQLite or Postgres and exposes them to AI agents over MCP, letting agents read individual sections, search, and write updates transactionally. Each write is validated, and anything that introduces broken links, missing summaries, or duplicate text is rolled back with a reason.

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.

A local MCP server that provides agents with tools to list, read, search, inspect history and diffs, and capture unstructured text in a user-owned Git repository of durable memory.

Local-first agentic knowledge layer over Obsidian notes, enabling MCP-aware agents to search, retrieve, and compile knowledge with provenance and task contracts.

Enables users to create and control portable, user-owned memory archives, including saving memories, reflections, values, and stories, exporting them as open JSON, publishing or discovering public archives, and loading consented material as a clearly-labelled memory-based AI persona.

Enables read-only cognitive retrospect over Obsidian notes, surfacing stance changes, verifying claims with citable evidence, and avoiding unfounded causal stories via hybrid retrieval and eight read-only MCP tools.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

An MCP server that lets users capture quick phone thoughts via Android and later query them from AI assistants like Grok or Claude, functioning as a simple task memory store without notifications or geolocation.

Personal memory MCP server for Claude Code with an Obsidian-style graph. Enables persistent, queryable memories across sessions using Markdown files with bidirectional wiki-links and a D3.js force-directed graph UI.

Enables a language model to access D&D 5e rules, reference data, and campaign state through MCP, with tools for dice rolls, encounters, lookups, and persistent notes.

Enables AI assistants to maintain persistent local memory across sessions by organizing experiences into hierarchical layers (raw logs, checkpoints, daily cards, and stories), with tools to write, search, and verify entries via hashes.

A native Nextcloud app that exposes the instance as an MCP server so Claude and other MCP clients can read, search, and (with admin-granted permissions) edit files, notes, calendars, Deck cards, and Talk conversations. It runs inside Nextcloud with OAuth or app-password sign-in, applying each user's own Nextcloud permissions and admin-controlled per-operation grants.

Enables AI agents to search and manage a local Markdown memory vault over stdio, including hybrid search, note retrieval and addition, session handoff claiming, and status checks without holding a model in memory.

Enables households to maintain a shared, persistent family memory for tracking item locations, warranty dates, chores, and who said what and when. It exposes this memory to AI assistants and tooling through MCP-compatible endpoints.

Provides curated long-term memory for Codex CLI via MCP, with Markdown-based storage, deduplication, and decay-based forgetting.

Provides tools for AI agents to manage long-term memories, daily notes, and TODO lists through a structured markdown file system. It enables context awareness by allowing agents to read, write, and search entries for persistent information storage.

Enables AI agents to use Notion as a persistent memory tier by providing tools to search, read, save (upsert) pages, append to pages, and query databases.

Persistent memory management for Claude Code, allowing agents to store and retrieve user preferences, environment notes, and skills across sessions.

A lightweight MCP memory engine for AI coding agents that provides zero-token-waste memory recall, knowledge graph management, and Obsidian-compatible notes. It enables agents to persist and retrieve project decisions, inspect file structures efficiently, and manage a persistent knowledge graph without Python dependencies.

This MCP server lets coding agents read and write a plain-markdown wiki, then audits that memory and local session transcripts to produce drift reports, session digests, and reusable lessons.