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Cathedral — Persistent Memory for AI Agents

OfficialLive

by AILIFE1 · Python

Persistent memory and drift detection for AI agents across session restarts.

io.github.AILIFE1/cathedral-mcp MCP Server

This MCP server provides persistent memory and drift detection for AI agents across session restarts. Its described scope is memory persistence and detecting changes over time, using Python tooling in the MCP ecosystem.

🛠️ Key Features

  • Persistent memory for AI agents across session restarts
  • Drift detection to identify divergence across runs
  • Built around Python and FastAPI (per readme excerpts)

🚀 Use Cases

  • Maintaining agent memory between sessions
  • Detecting behavioral or state drift after restarts

⚡ Developer Benefits

  • Support for agent workflows that require continuity over time
  • FastAPI-based service foundation (per badges/excerpt)
  • MCP integration via mcp/mcp-server project context (topics)

⚠️ Limitations

  • Source data does not specify toolCount, available MCP tools, or concrete API/endpoint details beyond the memory and drift-detection purpose.

Topics

agentsaiclaudefastapiidentityllmmemorypersistencepythonai-agentscrewaidrift-detectionlangchainmcpmcp-server