MCP servers for long-term memory and vector search: store notes, embeddings and facts so an AI assistant remembers across sessions. 799 servidores en esta categoría.
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Lets AI clients query Memgraph graphs and store agent memory, knowledge graphs, and document extractions.
Provides AI agents with persistent long-term memory using local SQLite storage and hybrid search.
Lets AI agents save draft memories, route them through a review gate, and recall approved, versioned records stored in a Git repository.
Provides persistent, adaptive memory for AI agents using hybrid search and a neural memory graph to connect knowledge across conversations.
$claude mcp add --transport http memory-cloud https://memory.kagura-ai.com/mcp
Provides AI agents with persistent graph-based memory using SurrealDB to enable multi-hop reasoning and spreading activation recall.
Provides autonomous AI agents with a dual-memory persistence architecture using hybrid search and hierarchical storage for long-term context.
Provides local-first, source-grounded memory that allows AI agents to retain decisions, evidence, and corrections across different sessions.
$claude mcp add talamus -- uvx talamusProvides AI agents with associative memory using a typed knowledge graph stored on Postgres and pgvector.
$claude mcp add engraphy -- docker run -i --rm ghcr.io/devon-clarkk/engraphy:0.3.0
Provides persistent, cross-platform memory for AI agents to recall past discussions, save decisions, and export data as Markdown.
$claude mcp add --transport http aifa-memory-mcp https://aifa.works/api/mcp
Provides shared long-term memory across different LLMs using semantic recall, session management, and multimedia storage via Postgres and pgvector.
$claude mcp add --transport http polymnemo https://polymnemo.purpleground-26f6d744.westus2.azurecontainerapps.io/mcp
Lets an AI client query Neo4j graph databases with Cypher, store knowledge graph memory, and manage Aura cloud instances.
Provides local-first, persistent agent memory using SQLite to store and retrieve facts with hybrid dense and sparse search.
$claude mcp add lean-memory -- uvx lean-memory
Lets AI coding clients store and search long-term project memory in an on-device graph database with semantic vector search.
Provides local-first, governable long-term memory for AI coding agents to store and recall project rules, preferences, and decisions.
$claude mcp add cp-memory -- uvx cp-memory-mcp
Provides a governed experiential-memory ledger that allows AI agents to log task outcomes and promote verified lessons through multi-actor evidence.
$claude mcp add stele -- uvx stele-mcp
Provides an auditable memory layer for AI agents with provable deletion, tamper-evident audit trails, and bi-temporal time-travel recall.
$claude mcp add attestari-147fa6 -- uvx attestariProvides local-first persistent memory for AI agents with sleep-style consolidation, verifiable forgetting, and optional blockchain anchoring.
$claude mcp add padam-nocturne -- uvx padam-nocturne
Provides a local-first cognitive memory engine that uses a property graph to automatically re-evaluate downstream beliefs when upstream facts change.
Gives LLM apps a local-first memory layer that extracts, ranks and resolves facts from conversations with confidence-aware retrieval.
Indexes a Markdown vault into a local SQLite RAG store so AI clients can search notes, walk link graphs, and save memories.
$claude mcp add neurostack -- npx -y neurostack