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Memlo

Hosted shared memory for AI agents over MCP, with search, version history, and sharing.

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Install Memlo

Pick your client, then add it in one click or paste the config.

Streamable HTTP (Remote)
Server URL
https://memlo.ai/mcp

Remote servers are added in the app, not the config file: Customize → Connectors → Add custom connector, then paste this URL.

Hosted endpointLive · 1d agoLive Remote EndpointOur automated health check connected to this remote MCP endpoint successfully.Last checked 1d ago · Nov 12, 2026, 21:30 UTC

Clients with native remote MCP support can connect directly to this URL.

Remote endpoint
https://memlo.ai/mcp

Overview

Memlo MCP server gives AI agents access to hosted memory over the Model Context Protocol. A single memory can be shared across agents, with search, version history, and sharing capabilities. Reach for Memlo when multiple agents need to use or maintain the same persistent memory. The service is currently invitation-only and free during its beta.

Use cases

  • Share memory across multiple AI agents
  • Search hosted memory from an MCP-compatible agent
  • Review changes through memory version history
  • Share agent memory with other collaborators or agents

Key features

  • Hosted memory over MCP
  • One memory shared across agents
  • Memory search
  • Version history
  • Memory sharing
  • Invitation-only beta access

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked

Recent health check succeeded.

4/4 checks healthy over the last 13d

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

MaintenanceActively maintainedStatus declared by the project or listing owner.
Availability100%Our rolling endpoint + install checks that succeeded.

How Memlo works

What Memlo does

Memlo provides hosted memory for AI agents through MCP. Instead of keeping separate memory in each agent or client, Memlo supports one shared memory that multiple agents can use. Its documented capabilities include searching memory, reviewing version history, and sharing memory.

The shared-memory model is the main reason to consider Memlo. It fits workflows where several agents need access to the same accumulated information, rather than isolated context maintained by a single agent. Because the memory is hosted, agents connect to a common service instead of relying only on local state.

How it works

Agents interact with Memlo over the Model Context Protocol. MCP provides the connection between compatible AI agents and Memlo’s hosted memory service. Through that connection, agents can search the shared memory and work with its version history and sharing features.

The service is designed around a single memory shared by all of your agents. This makes Memlo relevant for multi-agent workflows in which information created or retained by one agent should remain available to others.

Tools and capabilities

  • Hosted memory for AI agents
  • Shared memory accessible to all connected agents
  • Memory search
  • Version history
  • Memory sharing

Limitations and notes

Memlo is currently available by invitation only, so access depends on receiving an invitation to the beta. The service is free during the beta period. Its focus is hosted, shared agent memory rather than a broad collection of unrelated MCP tools.

Before adopting Memlo for a production workflow, confirm that the beta access model and service availability fit the intended use. The shared-memory design also makes it important to choose deliberately which agents should connect to the same memory.

Read the full README

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Frequently Asked Questions about Memlo

Memlo is an MCP server that connects AI agents to hosted shared memory. Its main tools and capabilities cover searching memory, viewing version history, and sharing memory across agents. It is intended for workflows where multiple agents need access to the same persistent information through the Model Context Protocol.

You need access to Memlo’s invitation-only beta before using the service. Memlo is delivered as hosted memory over MCP, so agent access depends on connecting to the hosted service rather than installing a local memory database.

Yes, multiple AI agents can share one Memlo memory. The service is designed around a single memory available to all of your agents, allowing them to search the same hosted information and use its version history and sharing capabilities.

Yes, Memlo is free during its beta. Access is currently invitation-only, so you need an invitation to use the hosted memory service during this period.

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