Memory Knowledge Servers

Memorybear is an MCP server on MCP.so — view details, tools, and install instructions.

Basic Memory is a Model Context Protocol server designed to extend AI agent capabilities. It exposes tools, resources, and prompts that allow AI assistants like Claude and Cursor to perform specialized tasks.

Structured 3-layer memory system for AI trading agents. L1 records every trade automatically. L2 discovers patterns via reflection engine. L3 evolves strategy in real-time. Built on MCP. Supports MT5, Binance, Alpaca. Python/FastAPI/SQLite. MIT licensed.

Memory Bank Mcp is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Mcp Knowledge Graph is an open-source MCP server that gives AI assistants access to specialized functionality. Compatible with Claude Desktop, Cursor, and other MCP clients for enhanced AI agent workflows.

Memorymesh is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Yourmemory is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, 9 file formats, file watcher, and 12 MCP tools. Zero external servers. pip install knowledge-rag

Persistent memory for AI agents — 55 MCP tools, spreading activation recall, neuroscience-inspired consolidation

A graph-based Model Context Protocol (MCP) server that gives AI coding agents persistent memory. Originally built for Claude Code, MemoryGraph works with any MCP-enabled coding agent. Store development patterns, track relationships, and retrieve contextual knowledge across sessions and projects.

Universal, local-first persistent memory for AI assistants. SQLite-based knowledge graph with zero cloud dependencies. Works with 17+ tools (Claude, Cursor, Windsurf, VS Code, etc.). 100% free forever.

Persistent memory for AI coding agents with semantic search, contradiction detection, memory decay, and cross-session learning. 25 MCP tools, local-first, #1 on LongMemEval (95.4%).

Premium, consistent memory and long-term storage across AI applications. Remote MCP server.

Mcp Server Weaviate is an open-source MCP server that gives AI assistants access to specialized functionality. Compatible with Claude Desktop, Cursor, and other MCP clients for enhanced AI agent workflows.

🔥🖥️ MCP Memory is a MCP Server that gives MCP Clients (Cursor, Claude, Windsurf and more) the ability to remember information about users (preferences, behaviors) across conversations.

Read and write to a Pinecone vector database using the Model Context Protocol.

Mcp Ragdocs MCP server provides AI agents with powerful tools and integrations for automation workflows. Connect your AI assistant to Mcp Ragdocs capabilities through the Model Context Protocol standard.

A server for persistent context management in Claude AI coding assistants, using a local SQLite database for storage.

Vectorize Mcp Server is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

A Model Context Protocol server that provides knowledge graph management capabilities.

Memory Mcp Server Go is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Ragie Mcp Server MCP server provides AI agents with powerful tools and integrations for automation workflows. Connect your AI assistant to Ragie Mcp Server capabilities through the Model Context Protocol standard.

t stores your project context, decisions, and knowledge locally in SQLite - no cloud, no telemetry. Your data stays on your machine.

MCP server that helps build Memory Bank - structured documentation system for context preservation

Ask your home. Your AI assistant's memory for everything in and around your home.

Simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.

MCP RAG Server is an MCP server on MCP.so — view details, tools, and install instructions.

Connect AI tools with Pinecone projects to search, configure indexes, generate code, and manage data.

This is a MCP server I built to interact with my hybrid graph rag db.

MCP Memory Server with PostgreSQL and pgvector for long-term memory capabilities

A memory system for Cline that tracks progress between conversations.

A memory system for Cline that tracks progress between conversations. Avoid large token usage!

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

MCP Memory Server with DuckDB backend

🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who

This MCP server provides tools for listing and retrieving content from different knowledge bases.

Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead and visual hallucination loops.

Storm MCP Server with Sionic AI serverless RAG is an MCP server on MCP.so — view details, tools, and install instructions.

mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language Models (LLMs) to answer questions based on your document content by indexing and retrieving relevant information efficiently.

MCP Server with Remote SSH support

It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking

MCP Neo4j Memory Server is an MCP server on MCP.so — view details, tools, and install instructions.

An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment their responses with relevant documentation context.

Semantic code search for AI agents — hybrid vector + BM25 with cross-encoder reranking, AST-aware chunking for 14 languages, conversation memory, code annotations, and search analytics. Zero config, zero API keys. Just bunx.

This MCP server is used to provide Godot documentation to the Godot RAG model.

Persistent memory MCP for AI agents — Knowledge graph + Hebbian learning + Anti-hallucination. 12 tools, 1 dependency, zero manual setup.

MCP Memory Gateway is a pre-action gate engine for AI coding agents. Unlike memory servers that store and retrieve context (Mem0, Zep), this server enforces behavior change: repeated failures are auto-promoted into prevention rules, and PreToolUse hooks physically block tool call

Serverless document and media processing with AI chat.

MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database

MCP Memory Server with Neo4j backend for AI knowledge graph storage

MCP server for enabling persistent knowledge storage for Claude through a knowledge graph with multiple storage backends and fuzzy search

MCP server designed to help you search and analyze your photo library (iCloud)

Byteask Embedded Docs is an MCP server on MCP.so — view details, tools, and install instructions.

Dragonmcp is an MCP server on MCP.so — view details, tools, and install instructions.

MCP RAG Server is an MCP server on MCP.so — view details, tools, and install instructions.

A project management and session memory tool for AI agents to track projects, tasks, and context during chat sessions.

Deno/TypeScript MCP Server providing context related to Terragrunt documentation.

Create private, local RAG libraries that work offline—no API keys, no cloud services. Share them as single files your whole team can use.

Memory MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

Simple RAGFlow MCP. Only useful until the RAGFlow team releases the official MCP server

Local-first, auditable memory for AI agents, with durable SQLite, MCP recall, and opt-in governed writeback.

Local-first agent memory MCP — Claude Code, Cursor, OpenAI Codex, and Gemini CLI share one SQLite brain. 6-layer structured memory (goal/context/emotion/implementation/caveat/learning), drift detection with pre-action re-injection guard, and an AST-aware diff cache saving 50-99%

Manages work memories and shares context between AI tools using a local SQLite database.

A knowledge graph-driven persistent memory layer for coding agents and LLM workflows.

Provides local repo-intelligence by indexing source, symbols, call graphs, Git/GitHub history, and source-bound repo memories into a local database for coding agents.

Storacha MCP storage server - self-sovereign data for your AI applications.

A easy-to-use and minimal server implementation for the Model Context Protocol (MCP) in Ruby.

Make it easy for agents to build their context about your projects over time

A Ruby gem for building Model Context Protocol (MCP) servers to expose tools, resources, and prompts to LLM clients.

User-owned memory for AI agents over remote MCP. Save, search, recall, update, and manage scoped memories across Copilot, Claude, ChatGPT, IDEs, and CLIs.

Persistent local memory for Claude, Cursor & Codex. 21 MCP tools, hybrid retrieval (BM25 + vector RRF), bi-temporal queries, contradiction detection. SQLite + Knowledge Graph. No cloud, no API keys. npx @studiomeyer/local-memory-mcp

toon-memory es un servidor MCP de memoria persistente 100% local diseñado para asistentes de código con IA (Cursor, Claude Code, Windsurf, etc.). Utiliza el formato ultraeficiente TOON para reducir el consumo de tokens hasta en un 30%, permitiendo a los agentes guardar, buscar y consolidar el contexto y las decisiones del proyecto entre sesiones de forma privada y cifrada (AES-256).

An mcp server that you can use to store and retrieve ideas, prompt templates, personal preferences to use with you favourite AI tool that supports the modelcontextprovider protocol.

Velocirag is an MCP server on MCP.so — view details, tools, and install instructions.

Two-layer memory for AI agents with an immune system — episodes compress into identity through citation-validated graduation. Zero dependencies, 5 MCP tools.

MCP server for enabling memory for Claude through a knowledge graph

A semantic search server for codebases using Qdrant, featuring intelligent GitHub issue and project management.

An open-source MCP server providing real-time observability for IBM Storage Insights assets.

A RAG-based Q&A server using a vector store built from Gemini CLI documentation.

Model Context Protocol (MCP) server allowing LLMs to store and search knowledge in a SQLite database

MCP Server for long term memory graph

Share one memory store across all your AI coding tools. Memory Arbiter is a lightweight, fully local MCP Server with built-in dual-timeline conflict arbitration. No cloud, no LLM calls — just SQLite.

Provides shared memory for agentic teams to improve token efficiency and coordination.

A CLI tool for personal RAG that retrieves data from Notion, Obsidian, Apple Notes, etc., stored in Qdrant and exposed as an MCP server.

AI memory server with 56 tools. Knowledge Graph, semantic search, session tracking, multi-agent support. Free tier available.

Ragmap is an MCP server on MCP.so — view details, tools, and install instructions.

optimized-memory-mcp-server is an MCP server on MCP.so — view details, tools, and install instructions.

MCP Memory Service (Rust Implementation) is an MCP server on MCP.so — view details, tools, and install instructions.

Search concept relationships in the Unreal Engine official documentation using a Neo4j-powered knowledge graph.

An MCP server that gives Claude Code persistent memory across sessions (open source, SQLite)

A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across sessions. Features an auto-adaptation engine that syncs global instructions to ensure operational cohesion and optimize token usage across any LLM or multi-agent workflow.

A powerful, production-ready context management system for Large Language Models (LLMs). Built with ChromaDB and modern embedding technologies, it provides persistent, project-specific memory capabilities that enhance your AI's understanding and response quality.

A simple MCP server of knowledge base for RAGFlow.

A shared memory and coordination server for multiple AI coding agents, built on the Model Context Protocol

AI-powered knowledge base for your Terraform modules.

A MCP (Model Context Protocol) server for interacting with LimeSurvey.

Converts QuantConnect PDF documentation into searchable markdown, enabling fast, context-aware search.

This is an MCP server for retrieving all files in the memory-bank directory at once. Its purpose is to reduce AI tool invocation frequency when loading memory-bank, saving both time and money.

simple memory mcp server with custom memory location

A powerful Model Context Protocol (MCP) server using gemini embedding 3 that transforms any local directory into an ultrafast, visually-aware spatial search engine for AI agents.

A TypeScript and SQLite-based server enabling AI to remember personal data for personalized communication.

Extends the Memory server with PouchDB for robust document-based storage, custom memory file paths, and interaction timestamping.

Graph visualization tools for exploring and analyzing Claude's memory data.

Thrift Memory is a cost-first MCP memory server for coding agents that stop reloading large MEMORY.md, AGENTS.md, and project context files every session. It recalls only task-relevant memory under a hard token budget and returns a savings receipt: baselineTokens vs injectedTokens vs savedTokens.

Memory Mcp is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Jenkins Mcp is an MCP server on MCP.so — view details, tools, and install instructions.

Easy Memory MCP - Dual-engine embedding service with Qdrant vector store

MCP Server that serves knowledge from a Neo4J Database

This repository implements an MCP (Model Context Protocol) server that exposes various functionalities on an Azure Blob Storage account. It is based on the MCP SDK from Anthropic, which can be found at: https://github.com/modelcontextprotocol/python-sdk. It has sample code for an

Simplest example of MCP client-server architecture over HTTP using Python & Golang

RAGFlow MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

Local MCP server that allows your agent to track documentation coverage over code repository.

Mcp Server Mariadb Vector is an MCP (Model Context Protocol) server that enables AI agents and assistants to interact with external tools, data sources, and services. It provides standardized tools and resources for seamless integration with Claude, Cursor, and other MCP-compatible clients.

Basic Memory MCP server integration, for Zed Editor's Assistant.

Brain-inspired persistent memory MCP server with hybrid BM25+vector search, ACT-R activation scoring, FadeMem decay, and knowledge graphs — 17 tools, fully local via Ollama, zero API keys.

Persistent identity and memory across AI tools - mcp-native, local-first, framework-agnostic, production-ready.

Model Context Protocol (MCP) server to access an instance of TrueRAG

AI-powered Chat System with multiple MCP servers.

Memory Bank MCP Server is an MCP server on MCP.so — view details, tools, and install instructions.

AI-powered Chat System with multiple MCP servers.