AI Agents · Verified 60+

63 / 100

The memory layer for AI agents. Context engineering platform powering enterprise APIs, developer plugins, and a personal app that remembers everything.

Scanned 3h ago · 5 views · Open site

Checks

• HTTPS5/5

  Served over HTTPS.

• llms.txt12/12

  Found /llms.txt (5825 chars).

• Agent manifest0/15

  No /.well-known/ai-agent.json.

  Fix: Publish https://supermemory.ai/.well-known/ai-agent.json with name, description, capabilities, contact, auth, and pricing.

• A2A agent card0/12

  No /.well-known/agent-card.json.

  Fix: Publish https://supermemory.ai/.well-known/agent-card.json with name, url, and skills or capabilities.

• MCP endpoint6/12

  Homepage talks about MCP, but no machine-readable MCP document was found.

  Fix: Publish /.well-known/mcp.json (or an MCP resource metadata document) pointing at your MCP server.

• OpenAPI spec12/12

  Valid OpenAPI/Swagger document.

• Named capabilities8/8

  41 named capabilities (41 with descriptions).

• I/O schemas8/8

  Found 44 schema signals.

• Machine-readable pricing4/8

  Pricing mentioned in llms.txt, but not as structured data.

  Fix: Add a pricing object to ai-agent.json, or publish /pricing.json with currency and product amounts.

• Auth, contact, rate limits8/8

  Contact, auth, and rate limits declared.

4 checks short of a perfect 100. The fix lines above are the report — what to publish, at which path.

How scoring works · Recently graded · Back to the board