Memory & Vector Stores MCP servers
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.
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 a local-first, bitemporal memory engine for AI agents using SQLite and Markdown vaults to manage long-term knowledge and skills.
Provides AI agents with persistent, searchable memory and an automatically building knowledge graph using PostgreSQL and Ollama.
Provides a local-first shared memory service that allows multiple AI coding agents to index, search, and recall project history and decisions.
Provides a hierarchical markdown-based memory system that allows AI agents to navigate and retrieve specific knowledge from structured directories.
$claude mcp add locus -- uvx locus-mcpProvides a hierarchical markdown-based memory system for AI agents to navigate and retrieve structured knowledge through a memory palace.
$claude mcp add locus -- uvx locus-mcpA self-hosted memory gateway that provides AI companions with long-term memory through vector search, sleep-inspired consolidation, and hierarchical summaries.
Provides a deterministic memory layer for AI agents to build, search, and maintain structured domain-specific context graphs.
Provides a local-first, plain-text memory system for AI assistants using .dai files for history and .cai files for code graphs.
Provides a cognition runtime for AI agents to manage long-term memory, context assembly, and knowledge representation using typed, branchable records.
Provides a distributed vector memory system that allows AI agents to share context across multiple devices and domains with zero prompt bloat.
Provides local grounded memory for coding agents, offering a verdict engine to verify if AI responses are supported by recorded facts.
Provides local-first persistent memory for AI coding agents to share searchable project history across sessions and clients.
Provides a unified memory and skill infrastructure for AI agents by pulling knowledge from connected filesystems into a searchable hybrid index.
Provides a verifiable agent memory system that enforces fact-checking by requiring evidence for every claim and issuing signed certificates for deletions.
$claude mcp add fireweed-mcp -- uvx fireweed-mcpProvides local-first long-term memory for AI agent teams using SQLite to store facts, decisions, and policy-checked knowledge.
Provides Claude Code CLI with persistent long-term memory through semantic search and context retrieval using a PostgreSQL and pgvector backend.
Provides AI agents with a persistent memory store to save and recall information across different conversation sessions.
Lets AI agents record decisions, pitfalls, and specifications in a structured local memory that links directly to code context.
$claude mcp add linklore-mcp -- uvx llreProvides long-term memory for AI agents using a local SQLite database with keyword retrieval and structured memory types.
Provides persistent, local-first long-term memory for AI coding agents to remember project conventions and personal preferences across sessions.
$claude mcp add mindtrail-mcp -- uvx mindtrail