MCP server
RCLL Official
ai.rcll/fleet-memory
Checked 26 Oct 2026, 08:31 UTC · Still published on its registry; checked against OSV.dev; never run by us
Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.
Runs on your computerVerified publisher: rcll.ai
At a glance
- Type
- MCP server
- Publisher
- rcll.ai (verified by the MCP Registry)
- Status
- Runs on your computer
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code
- Last checked
- 26 Oct 2026, 08:31 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. It then runs the package on your computer with your permissions. For other apps, copy the setup below.
Claude Code
claude mcp add fleet-memory -- npx -y fleet-memory-mcp@0.1.0
Claude Desktop
{"mcpServers":{"fleet-memory":{"command":"npx","args":["-y","fleet-memory-mcp@0.1.0"]}}}
Codex (config.toml)
[mcp_servers.fleet-memory] command = "npx" args = ["-y","fleet-memory-mcp@0.1.0"]
Gemini CLI
{"mcpServers":{"fleet-memory":{"command":"npx","args":["-y","fleet-memory-mcp@0.1.0"]}}}
Cursor
{"mcpServers":{"fleet-memory":{"command":"npx","args":["-y","fleet-memory-mcp@0.1.0"]}}}
VS Code
{"servers":{"fleet-memory":{"type":"stdio","command":"npx","args":["-y","fleet-memory-mcp@0.1.0"]}}}
Runs on your computer with your permissions: check the package and its source before installing.
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Badge for your README
[](https://aptlynx.net/servers/ai.rcll/fleet-memory)
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