Enables AI agents to read, write, and search local tldraw (.tldr) files, providing a persistent visual scratchpad for diagramming and note organization. It supports full CRUD operations on canvas shapes and metadata management for local canvas files.
Enables AI agents to store and retrieve information persistently using key-value pairs with JSON file-based storage. Supports storing, retrieving, listing, deleting, and searching data across sessions.
Enables AI agents to read, write, search, and manage persistent, decentralized context memory via a GCS-backed MCP server, with tools for document storage, retrieval, and STIM protocol nuggets.
Provides AI agents with persistent knowledge storage, enabling them to store, search, and retrieve text, documents, and files using semantic and keyword search via MCP tools.
