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 an AI agent with durable, git-backed persistent memory using semantic search and cryptographic provenance.
Provides local-first conversation memory and evidence retrieval for AI coding assistants using a searchable corpus and RAG.
Provides citation-grounded document memory for AI assistants using offline RAG with verifiable verbatim quotes and page numbers.
Provides a verifiable shared memory for AI agents and humans using sourced statements with full revision history and human review.
Provides AI agents with long-term memory by encrypting and embedding facts locally before storing them as ciphertext and vectors.
Provides an open-source memory layer for AI agents to share customer identity, facts, and context across different channels and platforms.
Provides long-term memory for AI agents using a local SQLite database with hybrid vector and text search recall.
Provides a unified SQLite-based memory system for AI agents featuring lossless context management, graph-based recall, and semantic search.
Provides persistent semantic memory for Claude using a local HNSW vector index and an on-device ONNX embedding model.
Provides local-first semantic memory for AI agents that manages conflicting notes, tracks record supersession, and flags near-misses.
Provides a hierarchical memory vault with semantic search and knowledge graphs for AI agents via MCP and REST servers.
Provides a cross-vendor persistent memory layer using the .fafm format to allow AI agents to store and recall facts across different sessions.
Provides coding assistants with persistent project memory, including decisions, warnings, and history with source citations.
Provides a private local knowledge graph and persistent memory for AI coding agents like Claude Code and Codex.
Provides a provenance-first memory layer for AI agents with tools for fact assertion, correction, contradiction detection, and junk auditing.
Provides a shared, persistent vector memory for AI coding agents using Qdrant to maintain context across different tools and sessions.
Provides persistent semantic memory for AI agents using PostgreSQL and pgvector to enable cross-session context and retrieval.
Provides a self-hosted memory server that lets AI agents read and propose updates to a personal knowledge base stored as a git repository of markdown files.
Provides a shared memory and thought layer for fleets of AI agents to synchronize knowledge through episodic, conceptual, and curated memory planes.
Provides a typed, local-first context graph engine that acts as durable, shared memory for AI agents via MCP.
