(Caption: Early morning at a coffee shop—croissant, coffee, and conversations about AI Agents and life. Taken at Anchorhead Coffee, Seattle. Image source: Ernest.)
✳️ tl;dr
- Back in late August, I traveled to North America thinking I’d catch the tail end of summer. Instead, everywhere I went—Bay Area, Seattle—everyone was talking about AI Agents and Agentic Workflows.
- I was fortunate to get hands-on with Amazon Bedrock AgentCore after the AWS New York Summit.
- Lucky for me, I had presented on Firecracker microVMs at COSCUP a few years back, so I already knew how powerful and secure this isolation technology is.
- Back then, I spun up an i3.metal EC2 bare metal instance and managed to launch 4,000 microVMs with Firecracker in under 90 seconds 1, visualizing the entire boot process. Startup speed? Not a concern. (Though it depends on your use case—but I’d argue we don’t need to remind AI Agents that “haste makes waste” :p)
- Even Cloudflare Containers borrowed Firecracker’s open-source project to power their services 2.
- Today (2025-10-13), AWS officially launched Amazon Bedrock AgentCore—an enterprise-grade agentic platform designed to help organizations move AI agents from prototype to production 3.
- The AgentCore SDK has been downloaded over 1 million times, with early adopters including Clearwater Analytics, Ericsson, Sony, Thomson Reuters, and other cross-industry enterprises.
- Built on microVM technology for enterprise-grade security isolation—each agent session runs in its own isolated virtual machine instance, preventing data leakage and cross-tenant attacks.
- AgentCore offers composable services supporting multiple frameworks: CrewAI, Google ADK, LangGraph, LlamaIndex, OpenAI Agents SDK, Strands Agents, and more.
- Works with models on Amazon Bedrock, as well as external models like OpenAI and Gemini.
- AgentCore Code Interpreter enables agents to safely generate and execute code in isolated environments.
- AgentCore Browser allows agents to interact with web applications at scale.
- AgentCore Gateway transforms existing APIs and AWS Lambda functions into agent-compatible tools.
- Gateway connects to existing MCP servers and integrates third-party tools like Slack, Jira, Asana, and Zendesk.
- AgentCore Identity enables agents to securely access and operate various tools using OAuth standards.
- AgentCore Memory helps build context-aware agents without managing complex memory infrastructure.
- Provides industry-leading security through microVM technology, with each agent session in its own isolated compute environment.
- AgentCore’s MCP server integrates with IDEs like Kiro or Cursor AI.
- Offers an industry-leading 8-hour runtime for long-running tasks.
- Now that it’s GA (Generally Available), no more waiting in queue—just spin it up and start playing!
- Deploying AI Agents requires integration with existing workflows, fine-tuning, and alignment with organizational goals.
- For those interested in Process Automation whiteboards, check out the extended reading 4.
- P.S. On my return trip through Tokyo in September, I actually got hit by the tail end of summer there—scorching hot… Major respect to the Japanese salarymen in full suits. Orz…
✳️ Knowledge Graph
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