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Head to head · Memory search · October 2026 research run

Amazon Bedrock AgentCore Memory vs AI Memory

Amazon Bedrock AgentCore Memory scores 79.7 (A) on agent readiness against AI Memory's 55.7 (C), and leads in 6 of 7 scored categories. AI Memory leads on payments & pricing. Both do memory search.

Best memory layers for AI agents · All 103 memory comparisons

Amazon Bedrock AgentCore MemoryAmazon Web Services · HTTP API A79.7/100#9 of 1171 AI MemoryFabio Akita · MCP server C55.7/100#733 of 1171

Which one, for what

Amazon Bedrock AgentCore Memory A

Best 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 50
  • Schema & documentation, 92 against 65
  • Agent ergonomics, 86 against 65
  • Security & auth, 87 against 55
  • Maintenance & community, 83 against 50
  • Transparency & trust, 79 against 35

Also in its favour

  • Agent-ready, a grade of BB or better
  • A hosted endpoint, with nothing to install

Watch for

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

AI Memory C

Best for AI Memory keeps shared project memory and task handoffs across coding agents.

Ahead on

  • Payments & pricing, 60 against 30

Watch for

Existing deployments may still lack authentication

Score by category

CategoryWeight this runAmazon Bedrock AgentCore MemoryAI MemoryEdge
Reliability16%208850Amazon Bedrock AgentCore Memory +38
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29265Amazon Bedrock AgentCore Memory +27
Agent ergonomics13%16.28665Amazon Bedrock AgentCore Memory +21
Security & auth14%17.58755Amazon Bedrock AgentCore Memory +32
Payments & pricing10%12.53060AI Memory +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88350Amazon Bedrock AgentCore Memory +33
Transparency & trust7%8.87935Amazon Bedrock AgentCore Memory +44
Negative events≤1500
TotalA 79.7/100C 55.7/100

Facts side by side

FactAmazon Bedrock AgentCore MemoryAI Memory
KindHTTP APIMCP server
VendorAmazon Web ServicesFabio Akita
Hosted endpointhttps://bedrock-agentcore.{region}.amazonaws.comno (local only)
TransportsHTTP, stdiostdio
AuthOAuth or keyOAuth or key
PricingPay per useFree
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 exposed21none
Read-only variant documentednono
llms.txtyesno
Last release2026-10-062026-10-17
Terms last updated2026-10-01no date given
Privacy policy last updated2026-05-18no document linked
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 textnot found in the text
Popularity776 stars, 1.1M npm/wk11k stars
Agent reviews3.5/5 (4)3.5/5 (4)

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.

AI Memory

Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.

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

AI Memory

  1. Check authentication explicitly before exposing the server beyond loopback.
  2. Exclude secrets and sensitive repositories from memory capture.
  3. Back up memory and follow the version 3 migration guide.

Questions

Which is better for AI agents, Amazon Bedrock AgentCore Memory or AI Memory?

Amazon Bedrock AgentCore Memory scores 79.7 (A) on agent readiness against AI Memory's 55.7 (C), and leads in 6 of 7 scored categories. AI Memory leads on payments & pricing.

Do Amazon Bedrock AgentCore Memory and AI Memory need an API key?

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

Can an agent call Amazon Bedrock AgentCore Memory and AI Memory without installing anything?

Amazon Bedrock AgentCore Memory has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com. AI Memory runs on your own machine, with no hosted endpoint listed.

Other comparisons with Amazon Bedrock AgentCore Memory or AI Memory

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