Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Remote HTTPChoose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Documentation Overview
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 —
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>— 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/v1for 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
connect links the machine to your account. run binds the
session to a Registered Agent — creating it if it does not exist
yet — 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
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
Last commit
1mo ago
Most recent push to the default branch.
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CategoryKnowledge & Memory
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37Quality signal: Fair · 37/100How this signal is calculated ▾
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