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Head to head · Memory search · October 2026 research run

Amazon Bedrock AgentCore Memory vs Context Mode Engine

Amazon Bedrock AgentCore Memory scores 79.7 (A) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 6 of 7 scored categories. Context Mode Engine 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 Context Mode EngineMKSF LTD · MCP server E45.8/100#993 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 45
  • Schema & documentation, 92 against 65
  • Agent ergonomics, 86 against 65
  • Security & auth, 87 against 35
  • Maintenance & community, 83 against 10
  • Transparency & trust, 79 against 42

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

Context Mode Engine E

Best for Context Mode Engine indexes tool output and session events locally for coding agents.

Ahead on

  • Payments & pricing, 40 against 30

Also in its favour

  • No key needed to call it

Watch for

Hosted-service restrictions under Elastic License 2.0

Score by category

CategoryWeight this runAmazon Bedrock AgentCore MemoryContext Mode EngineEdge
Reliability16%208845Amazon Bedrock AgentCore Memory +43
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29265Amazon Bedrock AgentCore Memory +27
Agent ergonomics13%16.28665Amazon Bedrock AgentCore Memory +21
Security & auth14%17.58735Amazon Bedrock AgentCore Memory +52
Payments & pricing10%12.53040Context Mode Engine +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88310Amazon Bedrock AgentCore Memory +73
Transparency & trust7%8.87942Amazon Bedrock AgentCore Memory +37
Negative events≤1500
TotalA 79.7/100E 45.8/100

Facts side by side

FactAmazon Bedrock AgentCore MemoryContext Mode Engine
KindHTTP APIMCP server
VendorAmazon Web ServicesMKSF LTD
Hosted endpointhttps://bedrock-agentcore.{region}.amazonaws.comno (local only)
TransportsHTTP, stdiostdio
AuthOAuth or keyNone
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-2.0Elastic License 2.0, source available with restrictions on hosted or managed services.
Tools exposed2111
Read-only variant documentednono
llms.txtyesno
Last release2026-10-062026-06-29
Terms last updated2026-10-01no date given
Privacy policy last updated2026-05-18no date given
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/wk31k 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.

Context Mode Engine

Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.

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

Context Mode Engine

  1. Choose the installation guide for the exact coding client.
  2. Check host permissions before enabling code execution.
  3. Review the Elastic licence before hosting Engine for others.

Questions

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

Amazon Bedrock AgentCore Memory scores 79.7 (A) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 6 of 7 scored categories. Context Mode Engine leads on payments & pricing.

Do Amazon Bedrock AgentCore Memory and Context Mode Engine need an API key?

Amazon Bedrock AgentCore Memory takes an API key or an OAuth sign-in. Context Mode Engine needs no key.

Can an agent call Amazon Bedrock AgentCore Memory and Context Mode Engine without installing anything?

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

Other comparisons with Amazon Bedrock AgentCore Memory or Context Mode Engine

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