Amazon AgentCore: The Secure AI Framework You’ve Been Waiting For

Amazon Bedrock AgentCore (Preview) launched on July 16, 2025, marking a major evolution in how enterprises build and deploy AI agents at scale. With modular components, open framework support, and AWS-level security, AgentCore is engineered for production from day one.

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What Is AgentCore?

Amazon’s fully managed AgentCore platform allows developers to build, deploy, and operate AI agents using any model or agent framework (like CrewAI, LangGraph, Strands Agents, etc.), even if the models are hosted outside Bedrock.

Core modules:

• Runtime: Serverless agent execution with long-session support

• Memory: Long-term and short-term memory with cost tracking

• Gateway: Easily expose internal APIs as agent-ready tools

• Browser: Headless browsing tool for secure web automation

• Code Interpreter: Secure code execution in a sandbox

• Identity: OAuth-based access to internal services

• Observability: Real-time telemetry and debugging

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Why It Matters

✅ From Prototype to Production

AgentCore takes the burden of infrastructure off your hands. No more cobbling together runtime environments, identity layers, or observability dashboards.

✅ Full Flexibility, No Lock-In

Use open frameworks and models—inside or outside AWS—without rebuilding or replatforming.

✅ Secure by Design

With session isolation, identity federation, and audit logging, AgentCore meets even the strictest security and compliance standards.

✅ Marketplace Integration

Deploy agents directly from the AWS AI Agents Marketplace, which now includes over 800 agent templates ready to go.

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Key Modules Explained

Runtime

• Serverless containerized execution

• Up to 8-hour agent sessions

• Multi-step workflow support

Memory

• Persistent memory

• Event-based billing model

• Use across sessions or teams

Gateway

• Wraps internal APIs in a secure, agent-compatible interface

• Model Context Protocol (MCP) ready

Identity

• OAuth-based login

• Integrates with AWS Cognito, Okta, etc.

• Role-based permissioning

Observability

• Tracks token usage, latency, and failure events

• Compatible with CloudWatch and OpenTelemetry

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Real-World Use Cases

🏦 Banking

Itaú Unibanco uses AgentCore to power multilingual customer support bots while complying with strict financial regulations.

🏥 Healthcare

Innovaccer exposes HIPAA-compliant APIs to agents using Gateway, enabling automated medical workflows securely.

📈 Marketing

Epsilon uses Browser and Gateway modules to automate campaign creation and testing—cutting build time by 30%.

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AgentCore vs Bedrock Agents vs DIY

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Quick Start (Simplified)

1. Install SDK:
   pip install bedrock-agentcore

2. Build your agent logic using CrewAI or LangGraph

3. Wrap it:
   BedrockAgentCoreApp()

4. Test locally:
   agentcore launch --local

5. Deploy via console or:
   genesis launch

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Preview Pricing (until Sep 16, 2025)

Billing is modular and tied to usage volume.

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What’s Coming Next

• VPC support for fully isolated environments

• Agent2Agent communication across microservices

• Multi-agent orchestration built-in

• More marketplace integrations with partners

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Final Thoughts

Amazon Bedrock AgentCore unlocks the infrastructure behind true agentic AI—not just simple chatbot interactions. If you’re scaling AI inside a secure enterprise context, AgentCore is the missing platform layer.

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