RCLL

Overview

RCLL is a Model Context Protocol (MCP) server: Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path. In practice that means any MCP-compatible AI assistant can call RCLL's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the npm package fleet-memory-mcp speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v0.1.0, published under the MIT license, with source at Holetron-lab/fleet-memory on GitHub.

RCLL is listed under AI & Agents on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain RCLL for rcll.ai, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "rcll": {
      "command": "npx",
      "args": [
        "-y",
        "fleet-memory-mcp"
      ]
    }
  }
}