"Persistent" matching MCP servers:

A self-hostable MCP server that provides permanent memory for AI agents using Postgres + pgvector for semantic search and Markdown file sync.

Enables AI agents to store, read, extend, and share encrypted persistent memory, with pay-per-use access via x402 payments on Base.

Enables persistent remote terminal sessions that survive dropped client connections, using pty-mcp and ai-tmux for interactive work and native OpenSSH for structured remote operations. Supports SSH config alias resolution, remote execution, file operations, and secure session management.

Provides AI agents with a single root terminal tool to a permanent Debian VPS, enabling them to run any Linux command, install software, manage services, and deploy applications that persist across sessions.

Enables LLM agents to maintain structured long-term memory and knowledge using SQLite, with graph storage and relational query tools for persistent context.

Enables AI assistants to list and create Google Calendar events using natural language, with persistent OAuth authentication via Redis.

Gives your AI persistent memory across conversations. Stores facts automatically, finds them by meaning using hybrid search with query expansion, and organizes everything into topics without manual tagging.

MCP server for Statewave, an open-source memory runtime for AI agents. Provides persistent memory, context retrieval, and memory compilation through the Model Context Protocol.

Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.

Snipara is the Project Brain for AI coding agents: a shared Project Intelligence layer for persistent context, reviewed memory, code impact, verification evidence, and handoffs through MCP.

Enables persistent, distilled memory for AI assistants, allowing recall and storage of durable facts across sessions and subagents via MCP.

One context engine for every AI. Persistent context from GitHub, Notion, and your decisions, delivered to Claude, ChatGPT, Cursor, VS Code, Gemini, and any MCP-compatible client.

AI memory that works like yours. Neural pathway architecture gives your AI persistent recall, contextual awareness, and cross-session continuity the way human memory actually works. 14 MCP tools. Works with Claude Code, Cursor, Windsurf, and any MCP client. $50/mo unlimited.

Sovereign, encrypted, persistent memory for AI agents. Eight MCP tools — remember, recall, forget (GDPR Art. 17 erasure), share, governance. Anchored on COTI V2 mainnet. Apache-2.0.

Connects AI agents to persistent topological memory on the Volumetric Lattice Network, enabling sub-5ms associative recall and storage of facts, documents, and code.

This MCP server enables image analysis through a single tool that supports multiple vision models and API providers, with automatic failover and persistent state management.

Provides persistent, self-optimizing memory for AI agents, enabling them to remember preferences and context across sessions and share knowledge across multiple agents.

Provides persistent long-term memory for AI agents through semantic search and automated knowledge graph extraction. It enables agents to store, recall, and reason over facts, preferences, and relationships across multiple conversations and sessions.

MCP server that lets agents create and update persistent concept maps via the NodeLand API, returning shareable URLs for humans to view, embed, and keep editing.

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem, supporting session-isolated file operations, cross-session shared stores, and glob/grep search.