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
Meta signs deal for millions of Amazon AI CPUs
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Big Tech validates AI infrastructure spending, then raises the bill
Every cloud beat expectations. Every capital expenditure forecast rose. That two-sentence summary captures the biggest earnings day of 2026, and it reveals almost everything you need to know about where Big Tech's AI infrastructure spending actually
Uber latest to embrace Amazon's AI chips
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 🤔
