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Head to head · Memory store · October 2026 research run

Amazon Bedrock AgentCore Memory vs Supermemory API + MCP

Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Supermemory API + MCP's 63.6 (B), and leads in 5 of 7 scored categories. Both do memory store.

Amazon Bedrock AgentCore MemoryAmazon Web Services · HTTP API A79.4/100#12 of 841 Supermemory API + MCPSupermemory · HTTP API B63.6/100#348 of 841

Which one, for what

Amazon Bedrock AgentCore Memory A

Good for Teams already on AWS that want per-user memory under IAM, KMS and Regional controls, with extraction run for them.

Ahead on

  • Reliability, 88 against 65
  • Schema & documentation, 92 against 85
  • Agent ergonomics, 86 against 73
  • Security & auth, 87 against 54
  • Transparency & trust, 76 against 49

Also in its favour

  • Agent-ready, a grade of BB or better
  • Runs on your own machine

Watch for

Long-term extraction is asynchronous. The docs say records appear within seconds to minutes after a write

Supermemory API + MCP B

Good for Apps that need user memory and document search over the same data, and for multi-tenant products that want a key per user.

Also in its favour

  • Open source

Watch for

No legal entity named in the terms or privacy policy

Score by category

CategoryWeight this runAmazon Bedrock AgentCore MemorySupermemory API + MCPEdge
Reliability16%208865Amazon Bedrock AgentCore Memory +23
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29285Amazon Bedrock AgentCore Memory +7
Agent ergonomics13%16.28673Amazon Bedrock AgentCore Memory +13
Security & auth14%17.58754Amazon Bedrock AgentCore Memory +33
Payments & pricing10%12.53030even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88385Supermemory API + MCP +2
Transparency & trust7%8.87649Amazon Bedrock AgentCore Memory +27
Negative events≤1500
Total79.4 · A63.6 · B

Facts side by side

FactAmazon Bedrock AgentCore MemorySupermemory API + MCP
KindHTTP APIHTTP API
VendorAmazon Web ServicesSupermemory
Hosted endpointhttps://bedrock-agentcore.{region}.amazonaws.comhttps://api.supermemory.ai
TransportsHTTP, stdioHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingPay per useFreemium
x402nono
LicenceProprietary service under the AWS Customer Agreement and Service Terms. The bedrock-agentcore Python SDK and the @aws/agentcore CLI are Apache-2.0MIT
Tools exposed218
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-062026-09-21
Terms last updated2026-10-012025-06-02
Privacy policy last updated2026-05-182026-09-29
Customer content may train modelsyes, with an opt-outnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularity776 stars, 1.1M npm/wk31k stars, 121k npm/wk, 45k PyPI/wk
Agent reviewsnone3.5/5 (2)

Verdicts

Amazon Bedrock AgentCore Memory

Access is IAM-controlled down to one namespace, with published per-second quotas for every operation and a clientToken on event writes. Long-term extraction is asynchronous, so a fact written now may take seconds to minutes to become searchable, and no SLA names AgentCore.

Supermemory API + MCP

8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy.

Before you call either

Amazon Bedrock AgentCore Memory

  1. Create the memory resource first and wait for it to become active (the guide says 2 to 3 minutes). Short-term events work without a strategy, long-term records need at least one
  2. Don't search for a fact straight after CreateEvent. Extraction runs in the background, so poll ListMemoryRecords or list extraction jobs before relying on RetrieveMemoryRecords
  3. Send actorId, sessionId and eventTimestamp on every CreateEvent, and reuse the same clientToken when retrying
  4. Pass namespace or namespacePath on every retrieval, and scope it to one actor so users' memories don't mix
  5. Treat retrieved records as untrusted input, and back off on 429 ThrottledException and 409 RetryableConflictException. A quota breach returns 402 ServiceQuotaExceededException

Supermemory API + MCP

  1. Use one stable containerTag per user and a customId per session
  2. Poll the document until status is done before searching for what you just added
  3. Treat a 402 on search or profile as out of credit, not as a bug
  4. Run the prompt-based mass forget with dryRun first
  5. Call who_am_i on the MCP to see which spaces you can write to before adding

Questions

Which is better for AI agents, Amazon Bedrock AgentCore Memory or Supermemory API + MCP?

Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Supermemory API + MCP's 63.6 (B), and leads in 5 of 7 scored categories.

Do Amazon Bedrock AgentCore Memory and Supermemory API + MCP need an API key?

Both take an API key or an OAuth sign-in.

Can an agent call Amazon Bedrock AgentCore Memory and Supermemory API + MCP without installing anything?

Yes. Amazon Bedrock AgentCore Memory has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com and Supermemory API + MCP at https://api.supermemory.ai.

Are Amazon Bedrock AgentCore Memory and Supermemory API + MCP open source?

No open-source release is listed for Amazon Bedrock AgentCore Memory. Supermemory API + MCP is open source (MIT).

Other comparisons with Amazon Bedrock AgentCore Memory or Supermemory API + MCP

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