Supermemory MCP
Stores and retrieves learned context for agents using a vector graph database, injecting relevant memories into model prompts in real time.
74/100
- Entity0/25
- Machine-readable33.9/35
- Retrieval access20/20
- Footprint20/20
- Supermemory MCP74
- LLM operations medianof 35 rated62
- Atlas medianof 537 rated61
- Retrieval botsopenverify
Whether the bots that decide citations are let in. Training bots are a separate list and are not counted here.
- llms.txtyesverify
A plain-text index at /llms.txt. Optional; read by some tools.
- Organization schemayes
schema.org Organization markup on the homepage, which is what a resolver reads a company's name and links from.
- Wikidata itemnone
Matched on the official website, never on the name. The substrate under the knowledge graph an engine resolves names against.
- Server-rendered words923swept
What a reader without JavaScript receives from the homepage.
- Identity score97/100swept
The analyzer's crawl-only section, 0-100: identity files, schema, crawler policy, sitemap. Not the analyzer score.
- Footprint49.2k GitHub stars
97/100
identity score
Not measured with the analyzer.
The full run asks four engines about this company by name. It runs on request, not on a schedule.
What is Supermemory MCP?
Stores and retrieves learned context for agents using a vector graph database, injecting relevant memories into model prompts in real time.
What is Supermemory MCP's Atlas Readiness?
74 of 100 on 2026-09-16, computed from four parts — entity, machine-readable, retrieval access, footprint — all four parts read. It places #10 of 35 rated LLM operations tools.
Does Supermemory MCP let AI retrieval bots in?
Yes. On 2026-09-16, robots.txt at supermemory.ai disallowed none of the retrieval crawlers we check.
Does Supermemory MCP publish an llms.txt?
Yes: supermemory.ai/llms.txt was present on 2026-09-16.
Is Supermemory MCP a Wikidata entity?
No item whose official website is supermemory.ai was found on 2026-09-16.
How to read a row
- swept
- Read by a crawler: HTTP and parsing, no model call. Every row, every week.
- measured
- The full analyzer run, asked of four engines. Shown only where the company agreed to show it.
Can a retrieval engine find, resolve and quote this site? Four parts, each read by the sweep, each shown beside the total.
Entity 25 · Machine-readable 35 · Retrieval access 20 · Footprint 20
A part that was never read is left out and the total is rescaled to what was. It is never counted as zero.