ai.rcll/fleet-memory

fleet-memory-mcp

Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.

38/wk 10 tools GitHub npm

No known CVEs

MIT license

Maintained

Last commit 30d ago

Works with most clients

Transport: stdio, sse, http

10 tools · ~500 tok

Grade A · 0.3% of 200K ctx

MCPpedia last refreshed this data 1d ago

Edit this pageView history

ai.rcll/fleet-memory is an MCP server that self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 85/100 on MCPpedia's security, maintenance and efficiency rubric.

AI / ML

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "rcll": {
      "env": {
        "FLEET_URL": "http://localhost:5100",
        "FLEET_BANK": "my-agent-bank"
      },
      "args": [
        "/path/to/mcp-server/server.js"
      ],
      "command": "node"
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/ai-rcll-fleet-memory)](https://mcppedia.org/s/ai-rcll-fleet-memory)

Read me

What ai.rcll/fleet-memory does

Self-hosted shared memory for a team of AI agents. Rooms, L0-L3 depth, no LLM on the read path.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.

npx -y 'fleet-memory-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

85/100across 5 weighted dimensions

How we score →

0255075100

−15

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked fleet-memory-mcp against OSV.dev.

Inventory

Tools (10)

Click any tool to inspect its schema.

~500 tokens total

Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is ai.rcll/fleet-memory safe to use?: ai.rcll/fleet-memory has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install ai.rcll/fleet-memory?: ai.rcll/fleet-memory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can ai.rcll/fleet-memory do?: ai.rcll/fleet-memory provides 10 tools: Status, Measured, Embeddings, Tools, Setup and 5 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with ai.rcll/fleet-memory?: ai.rcll/fleet-memory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is ai.rcll/fleet-memory actively maintained?: ai.rcll/fleet-memory is recently maintained - last commit was 30 days ago.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

{ "mcpServers": { "rcll": { "env": { "FLEET_URL": "http://localhost:5100", "FLEET_BANK": "my-agent-bank" }, "args": [ "/path/to/mcp-server/server.js" ], "command": "node" } } }

Frequently Asked Questions

Is ai.rcll/fleet-memory safe to use?

ai.rcll/fleet-memory has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install ai.rcll/fleet-memory?

ai.rcll/fleet-memory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can ai.rcll/fleet-memory do?

ai.rcll/fleet-memory provides 10 tools: Status, Measured, Embeddings, Tools, Setup and 5 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with ai.rcll/fleet-memory?

ai.rcll/fleet-memory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is ai.rcll/fleet-memory actively maintained?

ai.rcll/fleet-memory is recently maintained - last commit was 30 days ago.