"Persistent" matching MCP servers:

Enables AI assistants to execute shell commands and manage long-running processes within persistent tmux sessions across isolated workspaces. It features a dual-window architecture to separate raw command execution from interactive terminal output.

Persistent AI memory with SQLite hybrid search (FTS5 + semantic), built-in Qwen3 embedding, and rclone sync across machines.

Structures debugging processes into a persistent knowledge graph, enabling problem decomposition, hypothesis testing, and reusable solution discovery.

Persistent semantic memory for your SQL databases. The name is ironic — it remembers everything.

Gives AI assistants a persistent memory across conversations, allowing them to remember user preferences, notes, and facts between chats.

Persistent long-term memory for AI agents — semantic recall across Claude, Cursor, ChatGPT & MCP.

Delegates coding tasks to your locally installed pi CLI, inheriting providers, models, and extensions, with persistent sessions and cancellable calls.

Persistent memory management for AI assistants like Claude, enabling creation, search, and retrieval of memories with tagging and triggers.

Exposes persistent, stateful remote Bash sessions to AI agents via SSH, enabling command execution with preserved working directory and environment.

AutoMem MCP provides persistent memory for AI assistants, enabling them to recall information across conversations and platforms with graph-vector retrieval.

Semantic codebase search + persistent working memory for AI code editors. Local, zero-config, MCP. No API key.

A persistent memory MCP server for AI assistants, storing and retrieving notes using local JSONL files with BM25 search.

Persistent local semantic memory for MCP tools, enabling storing and searching notes by meaning using local embeddings and SQLite.

Enables AI assistants to execute Julia code efficiently with persistent sessions, avoiding startup costs and maintaining state across calls.

Multi-user, file-backed MCP memory server enabling isolated namespaces and persistent memory across sessions and AI clients.

Exposes a materialized service dependency graph as an MCP toolset for persistent, queryable root-cause analysis via Cypher queries.

Captures ideas from conversations and organizes them into a persistent, hierarchical mindmap. Supports search, deduplication, export, import, and cloud sync.

MCP server giving AI agents full SSH access with persistent sessions, structured command output, SFTP file transfer, and port forwarding.

Provides persistent, client-side-encrypted memory for AI coding assistants via SAIHM, enabling tools to remember, recall, and forget with provable erasure.

Graph-based MCP server for persistent AI memory, session checkpointing, context compression, and cross-session context management for LLM applications.