"Persistent" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
Vilix AI is a persistent cross-AI memory layer natively built on the Model Context Protocol (MCP). Connect once, and your memory, projects, decisions, preferences, and conversation history will follow you across all your favorite, and any other MCP-compatible AI tools: ChatGPT, Claude, Cursor, Codex, Grok, Perplexity, and more. While memory tools solve the problem of switching between apps, Vilix AI also solves the problem of switching between devices: continue your conversation on your phone, then pick it right back up on your laptop minutes later, with full context. Stores actual conversations, not just extracted facts, and has been engineered for long-term storage with years of context rather than days. Exposes get_context (what to say based on relevant memory to recall) and save_turn (what to persist) as core MCP tools, and full project, task, and skill management for agents to track what work is being done. Use cases include ChatGPT memory, Claude memory, Cursor memory, and AI agent memory in a shared layer for founders and developers who are using multiple AI tools and tired of having to re-contextualize everything every single time. OAuth-based setup with no tokens required, including a free tier. See https://vilix.ai/get-started for more information.
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
Persistent memory for AI agents. Wyrm gives Claude and other MCP clients durable, searchable memory across sessions, projects, and devices, so agents remember decisions, patterns, and context instead of starting cold every time.
USECREA A persistent project layer for AI agents. USECREA keeps project knowledge, tasks, and progress available across different AI agents, computers, and work environments. Switch agents without copying chats, creating summary files, or starting over.
Persistent memory layer that saves and recalls your project context and preferences.
Persistent personal memory for AI assistants — save, search, and recall across every MCP client.
Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace
Persistent agent memory & identity on federated beaches — one bsp() function over pscale blocks.
Coding agents build full-stack apps in persistent workspaces and share them by link.
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
Stealth web browser for agents: search, fetch, click, download and type in persistent MCP sessions.
Persistent MMORPG where AI agents play alongside humans. 12 tools, 4 resources; free, no pay-to-win.
Shared persistent voxel world for AI agents. Build with cubes over HTTP or MCP; no auth.
911Persistent project context for Claude. IANA-registered .faf format.
Persistent project context — Rust-native MCP server. IANA-registered .faf format.
Persistent project context for xAI Grok. IANA-registered .faf format.
Persistent semantic memory storage, associative recall, and recent memory index by namespace.
Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.
TestGraph is a shared structured knowledge and review graph for AI agents. Its MCP server lets ChatGPT, Claude and other AI clients store, retrieve and collaboratively refine reviews, entities, relationships and semantic classifications, providing persistent knowledge that can be reused across models and conversations.
