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 LLM agents with a temporally ordered, persistent semantic memory graph backed by Neo4j to track observations, hypotheses, and concepts across sessions.
Creates a local-first personal dossier that provides AI clients with long-term context about your goals, history, and constraints.
Provides a self-organizing, shared memory vault that allows AI agents to remember decisions, preferences, and history across different sessions.
Provides native Android builds of codebase-memory-mcp for Termux to enable AI clients to index and interact with codebases on mobile devices.
A self-hosted memory infrastructure that turns conversations and application events into traceable, searchable knowledge graphs for AI agents.
Provides AI agents with local temporal memory using a markdown-based vault and hybrid search for tracking timelines, entities, and patterns.
Provides a local memory vault for AI agents to save and recall project decisions, preferences, and sources across different sessions.
Provides structured memory management for AI agents using a local SQLite-based system with hierarchical storage, knowledge graphs, and keyword retrieval.
Provides local long-term memory for AI agents using hybrid keyword and embedding search with a managed forgetting curve.
Provides agent workflows with persistent, governed, and scope-aware operational memory using local SQLite storage.
Provides an evidence-first local store for AI agents to manage current facts, claims, and tasks using Markdown files.
Provides AI assistants with a local SQLite-based memory to save, recall, and delete facts or preferences directly on your computer.
Provides AI agents with long-term memory through semantic search, asynchronous fact extraction, and an integrated MCP stdio server.
Provides a relational 3D grid memory substrate for AI agents to store and query structured data using the MTSV format.
Provides long-term semantic memory for AI agents by storing and searching facts locally using Chroma and FastEmbed.
Provides persistent, semantically-searchable memory for AI agents using wallet-based namespaces and per-call USDC payments on Base.
Provides local, deterministic memory for AI coding agents using a weighted concept graph and explainable recall.
A local-first AI context engine that manages project knowledge, code maps, and episodic memories to provide structured context to AI assistants.
Provides persistent memory and a searchable engineering knowledge base through a Rust-based MCP server.
Provides a lightweight SQLite-based vector database and hybrid RAG engine for AI agents to store and retrieve persistent memories.
