A lightweight MCP server that adds spaced-repetition flashcards (SM-2) to AI assistants, storing data locally in SQLite and enabling card creation, review, and scheduling.
Enables agents to perform spaced-repetition learning with FSRS scheduling, including adding cards, reviewing due cards, and grading recall, using a headless SQLite or Postgres backend.
Provides a local CBT exam system as MCP tools for Codex, managing study sessions, scoring, wrong answer tracking, and review queues with deterministic Python engine and optional Notion integration.
A local-first flashcard and quiz app with an MCP server for Codex, enabling users to manage decks, cards, quizzes, and reviews through natural language.
A local-first memory engine for AI agents with MCP-native, graph-linked, spaced repetition. It enables agents to log, retrieve, and manage learnings via CLI or MCP server.