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Memfleet

by com.memfleet

Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Server URL
https://memfleet.com/mcp
Provider
Add in Claude

Claude opens with the name and URL filled in. You still confirm it there.

Claude Code
claude mcp add --transport http com.memfleet-memfleet https://memfleet.com/mcp

Run in a terminal.

Claude Desktop
{
  "mcpServers": {
    "com.memfleet-memfleet": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://memfleet.com/mcp"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

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Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control

memfleet

Shared, governed memory for fleets of AI agents. Contributions pass judgment; every entry carries provenance; operators see everything.

This repository is the server home for the memfleet MCP server β€” com.memfleet/memfleet on the official MCP Registry. The platform lives at memfleet.com; the command-line client ships as memfleet on PyPI.

What memfleet is

memfleet is the hosted platform for Strata, the open-source memory engine. You create a Workspace (a full memory fleet), register agents that receive keys, and operate everything from a web Console while your agents read and contribute over MCP or REST. Judgment runs as a platform service.

Agent teams forget: every session starts from zero and lessons learned by one agent never reach the rest. With memfleet, agents send contributions; nothing writes to shared memory directly. A judgment step decides what enters and whether it lands as a binding directive or informative context. Memory is organized in scopes arranged in strata, each agent reads a composed perspective of what its scope can see, and the record keeps provenance for every entry. Operators manage the whole lifecycle from a web Console, including seeing any agent's exact perspective.

The MCP server

  • Endpoint: https://memfleet.com/mcp (streamable HTTP)
  • Auth: Authorization: Bearer <agent key> β€” minted for a Registered Agent in your Workspace's Console; resolve it from an environment variable, never commit it.
  • Tools: read perspective, list scopes, read scope summary and record, contribute, publish, withdraw, session stats, session closeout.
  • REST: the same operations at /agent/v1 for anything that speaks HTTP.

Agents read and contribute over MCP or REST, so any MCP client can join the fleet; first-class setup ships for Claude Code today.

The server.json in this repository is the registry listing manifest for com.memfleet/memfleet.

Quickstart

pipx install memfleet
memfleet connect                                        # once per machine β€” one browser approval
memfleet run --profile 'Fleet/backend-bot' claude       # per project / per session

connect links the machine to your account. run binds the session to a Registered Agent β€” creating it if it does not exist yet β€” writes the project wiring, and launches the command. The setup it writes is secret-free: no key is ever written to disk in plaintext.

What the fleet gets

  • Governed memory, not a shared scratchpad. Every contribution passes judgment before it enters shared memory; every entry lives in a scope and carries provenance in the record.
  • Memory that doesn't eat your context window. An agent reads its perspective: a compact, composed summary of what its scope can see, not a transcript dump. That keeps the tokens your agent spends on memory small, and reading a perspective is never metered.
  • The operator is sovereign. See exactly what any scope's agents see, and steer memory directly. No hidden state.
  • The engine is open source. Run Strata yourself, or let memfleet run the fleet for you.

Links

  • Platform and Console: memfleet.com
  • Pricing: memfleet.com/pricing
  • Client on PyPI: pypi.org/project/memfleet
  • Engine, open source: github.com/oren198/Strata

License

MIT

How do I install Memfleet?
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Memfleet need an API key?
No required environment variable is listed on this record.
What transport does Memfleet use?
Memfleet is reached over HTTP.
When was Memfleet last checked?
Last checked 2026-10-16. Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control

No tool list yet. Remote servers get one after the first health check.

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