A Model Context Protocol (MCP) server that provides AI agents with persistent memory and semantic file discovery.
Recursive Large Model (RLM) Memory System - A Model Context Protocol (MCP) server that provides AI agents with persistent memory and semantic file discovery.
The core philosophy: The AI Agent is intentionally blinded to the file system. Instead of using ls, grep, find, or dir, the AI relies on the MCP to be its eyes and memory.
┌─────────────────────────────────────────────────────────────────┐
│ YOU (Developer) │
│ │
│ npm start → Opens UI at http://localhost:3848 │
│ View all projects and memories in real-time │
│ Test all tools via the testing interface │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ projects/ directory │
│ rlm-memory-mcp-server/projects/ │
│ ├── jumpinotech/.rlm/ │
│ ├── my-app/.rlm/ │
│ └── another-project/.rlm/ │
└─────────────────────────────────────────────────────────────────┘
▲
│
┌─────────────────────────────────────────────────────────────────┐
│ AI Agents (Claude Code, Codex, etc) │
│ │
│ NEW! Bi-directional communication: │
│ Agent asks: "What files for this task?" → MCP answers │
│ MCP asks: "Is indexing complete?" → Agent confirms │
└─────────────────────────────────────────────────────────────────┘
cd rlm-memory-mcp-ser
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