MCP servers for long-term memory and vector search: store notes, embeddings and facts so an AI assistant remembers across sessions. 799 servers in this category.
Provides secure durable memory and bounded context for AI agents through local or hosted knowledge management and hybrid search.
$claude mcp add --transport http graymatter https://api-0.valkyrlabs.com/graymatter/mcp
Provides AI agents with a serverless database for vector search, NoSQL, PostgreSQL, file storage, and persistent memory.
$claude mcp add ainative-zerodb-mcp-server -- npx -y ainative-zerodb-mcp-server
Provides AI agents with self-improving, secure memory through a hash-chained ledger that enforces corrections and prevents reintroducing retired values.
$claude mcp add memory-pulse -- npx -y memory-pulse
Provides persistent semantic memory for AI agents using a local Qdrant vector database on Raspberry Pi 5.
Provides a private memory layer for AI assistants that stores and recalls information locally on your computer.
$claude mcp add modelbrain-mcp -- npx -y modelbrain-mcpProvides a cloud-persistent knowledge graph memory with semantic vector search for AI clients using ZeroDB.
$claude mcp add ainative-memory-mcp -- npx -y ainative-memory-mcp
Provides a long-term memory system for AI agents using a knowledge graph with semantic embeddings and automated memory decay and growth.
Provides a persistent, cross-vendor semantic memory store that allows AI clients to read and write facts across different LLM platforms.
$claude mcp add --transport http gnosem https://gnosem.dev/mcp
Deploy a self-hosted AI agent memory platform with vector search, knowledge graphs, and session management using Docker, Kubernetes, or Helm.
Provides a local long-term memory graph for AI agents to store and retrieve information via MCP and REST.
$claude mcp add anairyspirit -- npx -y anairyspirit
Provides a project-local RAG memory system using a knowledge graph, multilingual vector search, and full-text search within a single SQLite file.
$claude mcp add rag-memory-epf-mcp -- npx -y rag-memory-epf-mcp
Provides an AI client with access to a portable markdown-based working memory using local file searching and reading.
$claude mcp add br8n -- npx -y @br8n/mcp
Provides a local-first, SQLite-based memory layer for AI agents featuring bi-temporal supersession and hybrid retrieval.
Provides AI agents with a local-first, auditable cognitive memory map using SQLite to manage knowledge graphs across multiple workspaces.
Provides AI agents with persistent memory and a shared knowledge graph to remember, recall, and explore information.
$claude mcp add mcp-server -- npx -y @sharedmemory/mcp-server
Provides persistent, cross-tool memory for AI agents to save, search, and connect context across different sessions and projects.
$claude mcp add --transport http empirical-memory-plugin https://empirical.gauzza.com/mcp
Provides AI assistants with persistent, searchable, and portable long-term memory across different conversations and clients.
$claude mcp add --transport http amber https://mcp.ambermem.com/
Provides AI clients with brain-inspired long-term memory through hybrid retrieval, evolving user profiles, and multimodal data ingestion.
$claude mcp add --transport http zhiji-mcp https://ai-know.me/mcp
Exposes the DSH long-term memory library as an independent MCP service for cross-IDE memory sharing between agents.
Provides a semantic memory infrastructure for AI agents to save decisions, context, and sources with quality-gated writes and conflict tracking.
$claude mcp add --transport http cortex-connector https://skynetlab-cortex-saas-mcp.cortex-320.workers.dev/mcp