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Enables persistent memory storage and retrieval for AI conversations using Mem0, with semantic search capabilities backed by local Postgres and Qdrant vector database.

Memara MCP Server provides persistent memory capabilities for Claude Desktop through Server-Sent Events transport. Store conversations, insights, and knowledge with semantic search. Transform Claude from stateless assistant to memory-enabled AI companion.

An enhanced memory management system that wraps memento-mcp with sophisticated features including protocol enforcement, quality scoring, hybrid search strategies, and synthesis reports. Enables intelligent memory storage, retrieval, and analysis with automatic archival and confidence tracking.

MemeStack MCP — hosted MCP server for searching an AI-tagged image gallery (memes, infographics, charts, visual explainers) ranked by Lightning zaps. 19 tools, 6 prompts, 3 resources. Every response includes ready-to-paste citation blocks (markdown / HTML / plain). Free, no auth: https://mcp.memestack.ai/mcp

Enables searching and retrieving Claude Code conversation history that would otherwise expire after 30 days. Supports full-text search, semantic search, and session management with automatic backup of all conversations.

Persistent memory with knowledge graph visualization, semantic/hybrid search, importance scoring, and cloud sync (S3/R2) for cross-session context management.

Persistent memory for AI agents. Store and semantically search memories via REST API or MCP. Free tier available.

MCP protocol server for managing multi-project Markdown documents, supporting project isolation and LLM tool integration.

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 local-first MCP server that exposes personal notes and files as unified semantic context for AI agents via vector search and file monitoring.

Provides persistent memory storage with advanced features like tagging, content search, and expiration settings. It enables users to create directed links between stored memories to build structured relationships and knowledge graphs.

Provides tools for AI agents to manage long-term memories, daily notes, and TODO lists through a structured markdown file system. It enables context awareness by allowing agents to read, write, and search entries for persistent information storage.

Enables persistent storage and retrieval of user preferences, context, and decisions across AI sessions using a structured JSON-based memory system. It provides tools for storing, searching, updating, and managing memories organized by namespaces and tags.

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.

A universal, local-first MCP hub that indexes personal files (documents, code, etc.) and provides private semantic search via hybrid dense+BM25 retrieval, enabling agents like Claude Desktop to query your data without sending it to the cloud.

Persistent memory system for AI agents that records episodic memories with care-weighting and emotional valence, and provides full-text search with temporal chaining and automatic consolidation.

A lightweight, stateless MCP server utilizing Puppeteer for web searches, returning structured JSON results, easily integratable with other MCP-enabled systems.

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.

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.