AI Memory Explained: SuperMemory MCP for Cursor, Claude & Windsurf

Описание: Are you tired of losing context when switching between Cursor AI, Claude, and Windsurf? This video tutorial introduces SuperMemory MCP: a universal AI memory layer that keeps your projects, prompts, and context synced across every AI IDE and LLM you use.

What You’ll Learn in This Video:
• Why AI memory matters for multi-agent workflows.
• How SuperMemory MCP solves memory persistence across Cursor AI, Claude, and Windsurf.
• Step-by-step installation guide (with fix for MCP URL errors).
• Live demo: building a pixelated plant water tracker in Cursor, storing project context in MCP, and retrieving it later in Claude.
• Setting up memory rules for automatic updates in Cursor AI.

Key Benefits of SuperMemory MCP
• It acts as a universal memory box for AI tools.
• It shares context seamlessly across multiple agents.
• It works in any IDE with persistent memory storage.
• It makes vibe coding workflows smoother and more efficient

🌍 Why this Matters?
AI is upgrading from tools to full collaborators. With the memory layers like SuperMemory MCP, you can develop apps where context persists across sessions, agents, and platforms.

Tools Covered in this Tutorial:
• Cursor AI memory setup
• Claude + SuperMemory MCP integration
• Windsurf MCP installation
• LLM memory persistence explained

If you’re exploring AI memory, cursor memory, or MCP tools, this video tutorial mentions exactly how to make your AI agents smarter and more reliable.

👉 Link: https://mcp.supermemory.ai/

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👍 If this video helps, drop a comment with what YOU would build using persistent AI memory.
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