Neural Memory vs Cathedral — Persistent Memory for AI Agents
In-depth architectural comparison of the Neural Memory and Cathedral — Persistent Memory for AI Agents MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Neural Memory
Knowledge & Memory · Local stdio
Quality: 45/100 (Fair) | Auth: No auth required
Cathedral — Persistent Memory for AI Agents
Knowledge & Memory · Local stdio
Quality: 39/100 (Fair) | Auth: No auth required
Verdict Summary: Choose Neural Memory if you need specialized Knowledge & Memory tools running via a local process. Choose Cathedral — Persistent Memory for AI Agents if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Neural Memory when:
You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Neural Memory is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Cathedral — Persistent Memory for AI Agents belongs to Knowledge & Memory using local stdio subprocess. Select Neural Memory when you need capabilities focused on knowledge & memory and Cathedral — Persistent Memory for AI Agents when you require tools for knowledge & memory.