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MemoraEU gives your AI a persistent, encrypted memory — sovereign, zero-knowledge, hosted in Europe. Works with Claude, Cursor, Windsurf, ChatGPT via MCP. Self-host for free (AGPL v3) or use the managed EU cloud.

Provides persistent memory and semantic code understanding for AI assistants using MongoDB Atlas Vector Search. Enables intelligent code search, memory management, and pattern detection across codebases with complete semantic context preservation.

Updated 9-16-25 Fixed EV issues Connections should be solid! v3.1.0

Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.

A production-grade memory server for LibreChat that stores conversation turns and distills durable memories like decisions, constraints, and assumptions. It provides hybrid retrieval and consistency auditing to ensure AI plans remain aligned with established context and previous decisions.

Provides cross-device access to a persistent knowledge graph via Cloudflare Workers, enabling memory storage and retrieval through both MCP protocol and REST API with full-text search capabilities.

Persistent memory and handoff intelligence layer for MCP agents. Most memory servers retrieve text — Memory Nexus compounds operational context, learning from usage and progressively synthesizing observations into higher-order intelligence across sessions and tools.

Persistent long-term memory for AI agents. Local proxy + MCP memory layer for Claude, Codex, and OpenAI-compatible clients.

A Model Context Protocol integration for the MemOS memory system, optimized for personal AI assistant scenarios with intelligent memory management and retrieval capabilities.

Provides persistent memory for AI models by enabling the storage and retrieval of episodic, semantic, and procedural information through the memro protocol. It allows assistants to maintain long-term context via semantic search and chronological memory management.

Provides persistent long-term memory for AI agents through semantic search and automated knowledge graph extraction. It enables agents to store, recall, and reason over facts, preferences, and relationships across multiple conversations and sessions.

MCP server that enables AI assistants to semantically search Memtech's memory-ASIC engineering knowledge base (RTL, lab logs, DFM rules) stored in a Qdrant vector database.

Enables AI applications to use advanced memory management capabilities through the memU AI framework. Supports storing conversation memories, semantic retrieval, multi-user management, and memory statistics via standardized MCP protocol.

Enables AI agents to use persistent, file-based memory through Memvid, supporting project-based memory management, content storage, and semantic search with optional natural language querying.

AI memory layer with 3 types — semantic (facts), episodic (events), procedural (workflows that evolve from failures). 21 MCP tools.

Enables control of MentraOS smart glasses through tools for managing text displays, audio output, and input transcriptions. It integrates with Mentra Cloud to facilitate seamless interaction with smart glass hardware using natural language commands.

A Python-based MCP server that enables querying Cisco's Meraki Dashboard API to discover, monitor, and manage Meraki environments.

This MCP (Model Context Protocol) Server provides a communication interface for the Meraki Dashboard API, auto-generated using AG2's MCP builder from the Meraki OpenAPI specification.

Provides dynamic access to 400+ Meraki Dashboard API endpoints with intelligent discovery, plus advanced compliance auditing (PCI DSS, HIPAA, SOC2, ISO 27001, NIST), backup/restore operations, and network security analysis. Enables natural language queries to manage Meraki networks without pre-defined tools.

Mercury Banking MCP server with full Invoicing API support. Read accounts/transactions and create/manage recurring invoices via Model Context Protocol.