"file system" matching MCP servers:

A local-first, open-source harness for organizing your files with an AI agent.

Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.

A powerful context management system that maintains persistent context across coding sessions, helping development teams track project structure, dependencies, and progress.

MemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, updating, and scheduling these memories.

Multi-user, file-backed MCP memory server enabling isolated namespaces and persistent memory across sessions and AI clients.

A zero-dependency, file-based persistent memory system for AI agents with tiered memory, Ebbinghaus decay, and keyword retrieval.

A persistent semantic memory system for Claude Code, using vector search and a judgment ledger to surface prior decisions and calibrate predictions.

Turns Claude into a structured interviewer with a collective evolution system that gets smarter with each conversation.

An MCP server implementation that enables interaction with the Letta API for managing agents, memory blocks, and tools in the Letta system.

A simple memory system that allows LLMs to store and retrieve information via the Model Context Protocol.

A system for defining, composing, and managing task-specific contexts for AI-powered development, enabling consistent, high-quality results.

A personal knowledge management system built on the Model Context Protocol that transforms daily notes into organized, searchable knowledge.

A personal knowledge management system that transforms daily notes into organized, searchable knowledge using the Model Context Protocol.

About Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app.

Scalable, high-performance knowledge graph memory system with semantic search, temporal awareness, and advanced relation management.

A comprehensive Model Context Protocol (MCP) server for Obsidian on macOS. It provides extensive tools for interacting with Obsidian vaults, notes, and application state through AppleScript, URI schemes, and direct file system access.

Captures and retrieves Markdown records for a personal recording system, enabling journaling, input tracking, search, and date-range review.

A read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.

Enables AI assistants to interact with TheBrain's knowledge management system for creating, searching, and organizing thoughts, notes, and attachments using natural language. It provides comprehensive tools for managing hierarchical thought structures, link relationships, and file attachments through TheBrain's API.

Provides a centralized MCP-based system for managing and accessing multi-project memory banks remotely, with features like project isolation, file structure validation, and type-safe operations.