HomeAWS 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:
- AgentCore Runtime: Serverless environment supporting complex workloads
- AgentCore Memory: Short/long-term contextual retention capabilities
- AgentCore Identity: Secure OAuth-based access management
- AgentCore Observability: Comprehensive monitoring tools
- AgentCore Gateway: API conversion functionality
- AgentCore Browser: Automated web interaction
- 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]()
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]()
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]()
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]()
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]()
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 🤔
Here is the rewritten HTML content:
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:
- AgentCore Runtime: Serverless environment supporting complex workloads
- AgentCore Memory: Short/long-term contextual retention capabilities
- AgentCore Identity: Secure OAuth-based access management
- AgentCore Observability: Comprehensive monitoring tools
- AgentCore Gateway: API conversion functionality
- AgentCore Browser: Automated web interaction
- 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
Big Tech validates AI infrastructure spending, then raises the bill
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Amazon announced on Tuesday that Uber is expanding its AWS cloud contract to run more of its ride-sharing features on Amazon's own processors. Uber will extend its use of AWS Graviton, a low-power ARM-based server CPU, and begin testing Trainium3, AW
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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！
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.
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.
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.
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 🤔
