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  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables sandbox-less frontends such as mobile apps to reach the WeRead official gateway over Streamable HTTP by supplying only a URL and an access token, with no local process required. Exposes 14 read-only tools covering search, shelf, notebooks, reading progress and statistics, highlights, public reviews, and recommendations, plus a token-protected dashboard for shelf, notes, and shared-reading annotations.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Self-hosted MCP server that provides embedding-powered semantic search with graph context over Obsidian vaults, supporting multiple vaults, local embeddings, and a web dashboard.
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to create and interact with ASCII-based Zen gardens through tools for raking sand, placing stones, and practicing digital meditation. It provides resources for random Zen koans and generates meditation guides based on the current garden state.
    -
  • A
    license
    A
    quality
    B
    maintenance
    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.
    7
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Provides AI agents with a local, private Markdown-based memory vault and SQLite search. Enables agents to search, read, list, and traverse linked knowledge pages via MCP with zero external runtime dependencies.
    7
    423 PyPI
    7
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Model Context Protocol (MCP) server for Joplin note-taking app, enabling AI to read, search, and modify notes via sandboxed scripts.
    2
    52 npm
    26
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Vulcanus turns a Git-versioned Markdown vault into structured project memory for coding agents. recall returns a project's capsule plus the read-next list, and warns when the capsule is older than the decisions beneath it. search ranks by layer, so the cheapest sufficient note surfaces first. Writes are scoped: update_capsule replaces one named section instead of rewriting the file, and `app
    8
    60 npm
    4
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Long-term memory for Claude Desktop and Claude Code over plain markdown files on your machine. It returns nothing when the corpus has no answer, naming the terms that appear nowhere — no least-bad match dressed as an answer. And it verifies cited commit SHAs against git, so an agent can tell what actually shipped from what was only discussed and abandoned. Local; nothing is transmitted.
    2
    151 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server for a self-hostable personal planner — exposes memo, todo, calendar event, and cross-resource full-text search tools so Claude, Cursor, or any MCP client can manage your schedule and notes in natural language.
    18
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables coding agents to use an Obsidian vault as long-term memory, with search, reading, and writing of notes, plus automatic capture of learnings that are propagated to MOCs, daily notes, and the knowledge index with git commits.
    9
    19 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables an AI assistant to read and collaboratively edit Rustpad pads via the Model Context Protocol, using operational transformation for clean concurrent edits with human collaborators.
    8
    47 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI clients to search, read, and analyze a local SQLite knowledge base built from the full public archives of people you follow, bookmark, or subscribe to, with tools for onboarding, querying, and topic tracking.
    12
    8
    MIT