Best 1002 Knowledge management and memory Tools in 2025

MCP Atlassian is a Model Context Protocol server designed for Atlassian products (Confluence and Jira), supporting both cloud and on-premises deployments and providing AI assistant integration functions.

This project implements an MCP server for the Notion API, allowing access to and operation of Notion content through the model context protocol, supporting functions such as searching, commenting, and adding pages.

Each wiki file should store additional resources (such as images) corresponding to its path in the .resource directory and use git lfs for version management.

Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.

Changesets is an automated tool to help manage the version control and release process of multi-package or single-package codebases.

DevDocs is an intelligent document crawling and processing tool designed to help developers quickly understand and implement technical documents, significantly shortening the R & D cycle.

Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.

sitemcp is a tool that can crawl the content of an entire website and use it as an MCP server. It supports functions such as custom page matching and content selectors, and is suitable for quick retrieval of documentation and blog - type websites.

This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.

A structured thinking server based on the MCP protocol that helps break down complex problems and generate summaries by defining thinking stages

The MCP LLMS - TXT Documentation Server is an open - source tool that allows developers to control IDE and application access to llms.txt document resources through the MCP protocol.

A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.

A TypeScript-based MCP server that implements a simple note system and supports note creation and summarization functions

An MCP server for interacting with the LogSeq note-taking app, providing various API tools to operate on note content.

The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.

MCP Notes is an intelligent note - taking application based on the MCP protocol, supporting AI - driven note management and web interface operations, and using DynamoDB to store data.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text role - playing games and interactive narratives. It helps AI maintain consistent and structured memory in conversations through dynamic schema definition and automatic tool generation, enabling a richer and more dynamic interactive experience.

A simple to - do list management service connecting Notion and Claude

MCP-Mem0 is a template implementation that provides long-term memory functions for AI agents, integrating the Model Context Protocol (MCP) server and Mem0, supporting memory storage, retrieval, and semantic search.

This project is a collection of learning resources about Model Context Protocol (MCP), including guides, tools, and server implementations, aiming to help developers understand and apply the MCP standard. The project provides multiple example implementations of MCP servers, such as file system operations, Git management, GitHub integration, etc., as well as development guides and practical tools.

A local server based on the MCP protocol that implements semantic search and RAG functions for Apple Notes, which can be called by AI assistants such as Claude.

LLM Context is a tool that helps developers quickly inject code/text project content into the chat interface of large language models, supporting intelligent file selection and multiple integration methods.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text RPGs and interactive narratives, helping AI maintain structured memory across conversations.

A MacOS application for managing the MCP server of the Claude desktop application, providing various preset service configurations and local data management.

A remote memory bank management server based on the MCP protocol, supporting multi - project isolation and centralized management

The MCP Memory Service is a semantic memory storage system based on ChromaDB and sentence transformers, providing long - term memory and semantic search functions for Claude Desktop.

The Graphlit MCP Server is an integration tool that connects MCP clients with Graphlit services, supporting the ingestion, processing, and retrieval of multiple data sources.