MCP servers for long-term memory and vector search: store notes, embeddings and facts so an AI assistant remembers across sessions. 799 servers in dieser Kategorie.
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Provides local-first persistent memory for AI coding agents to remember, recall, and manage project context across sessions.
$claude mcp add norn -- npx -y @samad001z/norn-server
Provides a self-hosted, markdown-first memory vault that enables LLM agents to capture facts and resume sessions across different devices and platforms.
Provides a persistent multi-agent memory and coordination engine that lets AI agents store, retrieve, and share contextual knowledge using SQLite.
Provides persistent long-term memory for AI agents to recall facts, retrieve state summaries, and maintain context across sessions.
$claude mcp add memori-mcp -- npx -y @memorilabs/memori-mcp
Provides persistent conversational memory, behavioral code search, and bug localization for AI coding agents.
$claude mcp add ml-memory-e066a7 -- npx -y @slashml/mcp
Provides a shared remote memory for AI tools to recall and store information across different client applications.
$claude mcp add --transport http tephra-mcp https://tephra.obsidian-metrics.com/mcpProvides persistent conversational memory, behavioral code search, and automated bug localization for AI coding agents.
$claude mcp add --transport http ml-memory https://api.slashml.ai/mcp
Provides a local-first long-term memory layer for AI clients to record, recall, and consolidate context and preferences.
$claude mcp add hypermarrow-mcp -- npx -y hypermarrow-mcp
Provides a persistent cognitive substrate for AI systems to manage long-term memory, identity, emotional processing, and subconscious metabolism.
Lets AI agents create, share, and synchronize decentralized P2P storage drives using a peer-to-peer mesh network.
Provides a local-first memory engine for AI agents to store and retrieve facts, decisions, and concepts using hybrid semantic and full-text search.
Allows AI agents to access a portable memory vault to retrieve context, search entries, and propose new facts or preferences for human review.
Provides a bitemporal memory engine for AI agents to store and query historical facts and versioned knowledge at specific points in time.
Stores knowledge graphs and runs semantic search, reasoning, and multi-agent debate over a single local brain file for AI clients.
Provides AI agents with persistent memory, a bi-temporal knowledge graph, and semantic search capabilities across multiple sessions.
Provides a long-term cross-session memory layer for AI agents with 3D visualization and privacy-focused user isolation.
Provides an external memory and divergence substrate that allows AI clients to retrieve multi-intelligence corpora and cross-model disagreement records.
Provides persistent, auditable memory for MCP clients with provenance tracking, instruction quarantine, and durable task recording.
Provides a self-hosted long-term memory layer for AI agents to maintain project continuity, traceable evidence, and scoped knowledge across sessions.
Provides a shared Markdown-based memory repository for coding agents using Git to store and audit agent decisions and session history.