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AWS Launches Bedrock AgentCore: Open-Source Platform for Enterprise AI Agent Development

AWS Launches Bedrock AgentCore: Open-Source Platform for Enterprise AI Agent Development

September 10, 2025
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AWS Launches Bedrock AgentCore: Open-Source Platform for Enterprise AI Agent Development

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AWS Launches Bedrock AgentCore for Enterprise AI Agents

Amazon Web Services (AWS) is betting big on AI agents transforming business operations, introducing Amazon Bedrock AgentCore—an enterprise-grade platform enabling secure, large-scale agent development and deployment.

The Future of Enterprise AI

At its New York Summit, AWS unveiled AgentCore as a comprehensive solution bridging the gap between AI experimentation and production implementation. "AgentCore provides the foundation for trustworthy agent systems capable of handling mission-critical operations," explained Swami Sivasubramanian, AWS VP of Agentic AI.

Breaking Down AgentCore Components

The platform offers seven core modules:

  1. AgentCore Runtime: Serverless environment supporting complex workloads
  2. AgentCore Memory: Short/long-term contextual retention capabilities
  3. AgentCore Identity: Secure OAuth-based access management
  4. AgentCore Observability: Comprehensive monitoring tools
  5. AgentCore Gateway: API conversion functionality
  6. AgentCore Browser: Automated web interaction
  7. AgentCore Code Interpreter: Secure code execution

Competitive Landscape

AWS enters a heated market competing with:

  • OpenAI's Agents SDK
  • Google's Gemini-based solution
  • Specialized startups like Cognition

Real-World Implementations

Early adopters demonstrate diverse applications:

Company Industry Use Case
Box Cloud Storage Secure content management
Itaú Unibanco Banking Personalized digital banking
Innovaccer Healthcare Medical protocol management

Pricing Structure

AgentCore adopts consumption-based pricing across all modules:

  • Runtime: $0.0895/vCPU-hour
  • Gateway: $0.005/1k API calls
  • Memory: $0.25/1k short-term events
  • Free trial available until September 2025

Getting Started

AWS provides multiple onboarding resources:

  • Comprehensive documentation
  • GitHub code samples
  • Dedicated Discord community
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Comments (5)
0/500
SophiaJones
SophiaJones May 7, 2026 at 8:00:50 PM EDT

AWS這步棋下得真大!開源平台讓企業開發AI代理門檻降低好多,感覺中小公司也能玩得起了。不過資料隱私和成本控制還是讓人有點擔心,希望別變成另一個燒錢黑洞🕳️。有人實際試過了嗎?求分享經驗!

BrianWalker
BrianWalker April 18, 2026 at 8:00:53 PM EDT

Interesting move by AWS! I've been following the AI agent space closely, and this open-source approach could really lower the entry barrier for smaller teams wanting to build custom solutions. The 'enterprise-grade' label makes me wonder about the pricing model though – will it be truly accessible or just another premium service? 🤔 Also curious how this stacks up against frameworks like LangChain or AutoGen in real-world use.

RogerJackson
RogerJackson February 23, 2026 at 11:00:47 PM EST

AWS가 오픈소스로 에이전트 개발 플랫폼을 내놓다니, 기업용 AI 시장 경쟁이 점점 더 치열해지네요. 🤔 하지만 이런 오픈소스 접근 방식이 정말 '기업급' 기준을 충족할 수 있을까? 보안과 확장성 측면에서 아직 검증이 필요해 보여요. 개인적으로는 더 많은 기업이 AI 에이전트를 도입하게 되면서 일자리 영향에 대한 논의도 본격화되어야 한다고 생각합니다.

GregoryRamirez
GregoryRamirez January 1, 2026 at 5:30:40 PM EST

Na toll, jetzt baut AWS auch sein eigenes AI-Agent-Framework 🤔 Habe erst letztens den OpenAI-Agenten-Generator getestet... wird das jetzt ein Standard-Krieg wie zwischen React und Vue? Interessant, ob die das wirklich offener gestalten als Microsoft/Google. Vor allem die 'Enterprise-Grade'-Versprechen machen mich skeptisch – heißt das am Ende wieder Vendor-Lock-in? Aber immerhin könnte es den Markt beschleunigen. Mal sehen, ob mein Team das nächste Quartal testen darf.

GeorgeWilson
GeorgeWilson November 27, 2025 at 1:30:37 PM EST

AWS가 또 AI 에이전트 플랫폼을 출시했네요. 이제 진짜 경쟁은 데이터 통합과 실제 비즈니스 적용 가능성에서 벌어질 것 같아요. 한국 기업들도 당연히 관심 있을 테지만, 기존 시스템과 어떻게 연결할지가 더 중요할 듯 🤔

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