Atlaso vs mcp-memory

Quick Answer

Atlaso and mcp-memory both give AI agents persistent memory through MCP, but they sit at opposite ends of the build-vs-buy spectrum. mcp-memory is a self-hosted, open-source MCP server: free to run, full control, more setup. Atlaso is a managed, commercial product: connect once, no infrastructure to manage, cross-tool memory out of the box, in exchange for a subscription past its limited free tier.

At a Glance

Atlasomcp-memory
TypeManaged, commercial productSelf-hosted, open-source MCP server
SetupConnect once per tool, no infrastructureDeploy yourself (Cloudflare Workers, D1, Vectorize)
Natively supported toolsClaude Code, Cursor, Codex, Claude Desktop, OpenCode, AntigravityAny MCP client (Cursor, Claude, Windsurf, and more)
MCP supportYes, plus native integrations beyond MCPYes, built directly on MCP
PricingFree (1 device, 1 tool) / $10/mo Pro / $25/mo BuildFree, within Cloudflare’s free-tier quota (~1,000 memories, ~28,000 queries/month)
Data locationAtlaso’s infrastructureYour own Cloudflare account
Retrieval methodAmbient Memory (proactive context surfacing) plus recallVector search (semantic memory matching)
Open-sourceNot statedYes

What Is Atlaso?

Atlaso is a cross-tool AI memory layer: connect it once to each of your AI tools, and it recalls relevant context automatically before each session and captures new, durable facts afterward. It’s built as a managed product, no infrastructure to run yourself, with a free tier limited to one device and tool, and paid tiers that unlock unlimited devices, tools, and a developer memory API.

What Is mcp-memory?

mcp-memory is an open-source MCP server that gives any MCP-compatible client (Cursor, Claude, Windsurf, and others) the ability to remember information about users, preferences and behaviors, across conversations. It uses vector search to find relevant memories by meaning rather than exact keyword matching, and it’s built on Cloudflare Workers, D1, Vectorize, Durable Objects, Workers AI, and Agents, all of which you deploy and control yourself.

Managed vs. Self-Hosted: The Core Tradeoff

This is the real decision. Atlaso removes the operational burden entirely: you connect a tool, and memory just works, with a polished experience (Ambient Memory, background enrichment) built on top. That convenience costs a subscription past the free tier, and your data lives inside Atlaso’s infrastructure rather than yours. mcp-memory flips that: you deploy and maintain the server yourself, which takes real setup effort and Cloudflare account familiarity, but the data stays inside infrastructure you control, and the software itself is free.

Tool Coverage

Atlaso’s native integrations, Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity, cover the major AI coding tools directly, with broader MCP compatibility as a fallback for anything else; ChatGPT and Meta AI aren’t natively supported yet. mcp-memory, built directly on the MCP standard from the start, works with any MCP client without needing tool-specific integration work, which in principle gives it broader reach as new MCP-compatible tools appear, though without Atlaso’s polish around cross-tool orchestration and Ambient Memory.

Cost at Scale

For light, individual use, both are effectively free: Atlaso’s single-device free tier, or mcp-memory within Cloudflare’s free quota (roughly 1,000 memories and 28,000 queries a month). Past that, the cost models diverge: Atlaso’s Pro plan is a flat $10/month regardless of usage within its scope, while mcp-memory’s cost past the free Cloudflare quota depends on your actual Cloudflare Workers, D1, and Vectorize usage, which could be cheaper or more expensive depending on your volume.

Privacy and Data Control

mcp-memory has the structural privacy advantage: your memory data lives in your own Cloudflare account, not a third party’s infrastructure. Atlaso makes specific privacy commitments, secrets scrubbed before storage, encryption in transit and at rest, no training on or selling your memory, but by design your data lives on Atlaso’s servers. If keeping data entirely within infrastructure you directly control is a hard requirement, that points toward mcp-memory; if you trust Atlaso’s stated privacy practices and want to skip infrastructure work, its convenience is real.

Which Should You Choose?

Choose mcp-memory if you’re a developer comfortable deploying and maintaining a Cloudflare-based service, want memory data to stay entirely within infrastructure you control, and don’t mind more setup work for that control. Choose Atlaso if you want cross-tool memory working within minutes, without touching infrastructure, and the $10/month Pro plan is a reasonable cost for that convenience and its native, polished tool integrations. For a solo developer already comfortable with Cloudflare, mcp-memory is a genuinely free, self-owned option; for anyone who’d rather not manage another service, Atlaso is built to remove that entirely.

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Frequently Asked Questions

Is mcp-memory the same thing as Atlaso?

No, though they solve a related problem. mcp-memory (the Puliczek project referenced here) is a specific open-source MCP server you self-host, using Cloudflare Workers, D1, and Vectorize for vector search. Atlaso is a commercial, managed product that handles infrastructure for you across a wider set of natively supported tools, in exchange for a subscription past its limited free tier.

Which is free?

mcp-memory is free and open-source; self-hosting it uses Cloudflare's free quota for Workers, Vectorize, Workers AI, and D1, covering roughly 1,000 memories and about 28,000 queries per month before you'd need to pay for more Cloudflare usage. Atlaso has a free tier limited to one device and one AI tool; unlimited devices and tools require the $10/month Pro plan.

Which tools does each one support?

Atlaso natively supports Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity today, plus any MCP-compatible tool; ChatGPT and Meta AI aren't natively supported yet. mcp-memory works with any MCP client, including Cursor, Claude, and Windsurf, since it's built directly on the MCP standard rather than maintaining tool-specific integrations.

Which is more private?

mcp-memory keeps your memory data inside infrastructure you control (your own Cloudflare account). Atlaso states that secrets are scrubbed before storage, data is encrypted in transit and at rest, and it doesn't train on or sell your memory, but your data lives in Atlaso's infrastructure rather than your own. If keeping data entirely within infrastructure you control matters most, self-hosting has the structural advantage.

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