# Amazon Bedrock AgentCore Published articles for Amazon Bedrock AgentCore. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Optimizing agent system prompts with Amazon Bedrock AgentCore DevFeed: [Optimizing agent system prompts with Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Han Ding Published: 2026-09-16T15:47:39Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock AgentCore](), [Prompt optimization](), [Prompt Engineering](), [Traces](), [Benchmark](), [A/B Testing](), [Automated prompt engineering]() Tags: [a-b-testing](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [benchmark](), [best-practices](), [evaluation](), [intermediate-200](), [open-source](), [prompt-optimization](), [system-prompts](), [traces]() ### AI overview This technical companion explains how Amazon Bedrock AgentCore's system prompt optimizer uses production agent traces and reward signals to propose revised system prompts. It describes the reflector engine, recommendation explanations, offline batch evaluation, online A/B testing, and promotion workflow, and reports benchmark results for Single Agent Reflector and the experimental open source Sub-Agent Reflector. ### Source excerpt AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt optimizer's reflector engine works and shares benchmark results for the Single Agent and Sub-Agent Reflectors. ## AWS agents will suggest your new flights. Code decides what gets booked. DevFeed: [AWS agents will suggest your new flights. Code decides what gets booked.]() Original publisher: [Read original article]() Author: Meredith Shubel Published: 2026-09-15T21:27:21Z Content type: news Language: en Sources: [The New Stack]() Topics: [AWS Step Functions](), [Amazon Bedrock AgentCore](), [Orchestration](), [Generative AI](), [Amazon Web Services]() Tags: [ai-agents](), [ai-engineering](), [airline](), [amazon-bedrock-agentcore](), [aws](), [aws-step-functions](), [cloud-services](), [generative-ai](), [orchestration]() ### AI overview AWS published a Step Functions pattern for airline rebooking in which Amazon Bedrock AgentCore agents propose itineraries and compensation messages, while deterministic workflow steps validate proposals before reservations change or payments are issued. ### Source excerpt AWS published a new Step Functions pattern this week that gives AI agents a role in airline rebooking while keeping The post AWS agents will suggest your new flights. Code decides what gets booked. appeared first on The New Stack. ## Abnormal AI: Amazon Bedrock AgentCore for agentic email security at scale DevFeed: [Abnormal AI: Amazon Bedrock AgentCore for agentic email security at scale]() Original publisher: [Read original article]() Author: Aswin Vasudevan Published: 2026-09-14T21:22:45Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock AgentCore](), [threat detection](), [Amazon Bedrock](), [Security](), [Serverless](), [API](), [Amazon Web Services](), [AWS CloudTrail](), [Amazon CloudWatch](), [Amazon S3]() Tags: [advanced-300](), [agentic](), [agents](), [amazon-bedrock-agentcore](), [amazon-cloudwatch](), [amazon-s3](), [analysis](), [api](), [aws](), [aws-cloudtrail](), [code](), [customer-solutions](), [data](), [data-processing](), [security](), [serverless](), [threat-detection]() ### AI overview Abnormal AI uses Amazon Bedrock AgentCore Code Interpreter as an ephemeral, serverless compute scratch pad for real-time inline email threat detection. The article describes its sandbox isolation, networking and file-handling options, preloaded Python capabilities, observability integrations, and use at billion-message scale. ### Source excerpt Learn how Abnormal AI deployed Amazon Bedrock AgentCore Code Interpreter as an ephemeral compute scratch pad for the agents behind its real-time email threat detection at billion-message scale, plus the sandbox design decisions and practical lessons for builders deploying Code Interpreter in production. ## Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore DevFeed: [Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Swara Gandhi Published: 2026-09-14T20:35:45Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock AgentCore](), [OAuth](), [Amazon Web Services](), [AWS CloudTrail](), [GitHub](), [Slack](), [Model Context Protocol](), [ide]() Tags: [amazon-bedrock](), [amazon-bedrock-agentcore](), [announcements](), [aws](), [aws-cloudtrail](), [claude-code](), [cursor](), [github](), [intermediate-200](), [kiro](), [model-context-protocol](), [oauth](), [slack](), [visual-studio-code]() ### AI overview This tutorial explains how Amazon Bedrock AgentCore Identity's Consent portal manages end-user OAuth consent and session binding for AI agents. It covers configuring GitHub and Slack targets through an AgentCore Gateway, storing user tokens, supporting IDE and MCP clients, and reviewing activity in AWS CloudTrail. ### Source excerpt Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a portal, configuring GitHub and Slack 3LO targets, and the end-user consent flow, and shows how to review activity in AWS CloudTrail. ## Validating multi-agent decisions with Step Functions and Bedrock AgentCore DevFeed: [Validating multi-agent decisions with Step Functions and Bedrock AgentCore]() Original publisher: [Read original article]() Author: Ben Freiberg Published: 2026-09-14T16:47:23Z Content type: article Language: en Sources: [AWS Compute Blog]() Topics: [Amazon Bedrock AgentCore](), [AWS Step Functions](), [Artificial Intelligence](), [Generative AI](), [Automation]() Tags: [ai-agents](), [amazon-bedrock-agentcore](), [audit-trail](), [automation](), [aws-step-functions](), [generative-ai](), [regulatory](), [technical-how-to](), [workflow]() ### AI overview The article presents a pattern for validating multi-agent airline rebooking decisions. Amazon Bedrock AgentCore agents propose options, while AWS Step Functions applies deterministic validation, supports large-scale parallel processing, enables human review, and maintains an execution history for auditing. ### Source excerpt Orchestrating specialized Amazon Bedrock AgentCore agents with AWS Step Functions gives you the reasoning power of generative AI with the guardrails of deterministic validation. Agents propose options, and deterministic code validates them before any action is taken, demonstrated here with an airline rebooking workflow. ## How Ninth Wave built AI-powered open finance onboarding on Amazon Bedrock DevFeed: [How Ninth Wave built AI-powered open finance onboarding on Amazon Bedrock]() Original publisher: [Read original article]() Author: Shawn Kelly Published: 2026-09-14T15:58:57Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock AgentCore](), [Artificial Intelligence](), [API](), [Architecture & Design](), [Security](), [Finance](), [Amazon Web Services](), [data]() Tags: [advanced-300](), [ai](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [apis](), [customer-solutions](), [fintech](), [onboarding](), [pci-dss](), [security](), [soc-2]() ### AI overview The article describes how Ninth Wave built Compass, a multi-agent AI onboarding assistant powered by Amazon Bedrock AgentCore. Compass helps financial institutions validate bank APIs, map fields to Financial Data Exchange standards, and score production readiness while supporting secure, compliant open finance connectivity. ### Source excerpt Learn how Ninth Wave built Compass, a multi-agent AI onboarding assistant on Amazon Bedrock AgentCore that validates bank APIs against Financial Data Exchange (FDX) standards, scores compliance, and compresses open finance onboarding from weeks to minutes while meeting SOC 2 and PCI DSS requirements. ## Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations DevFeed: [Monitoring production agent lifecycle with AWS DevOps Agent and AgentCore Evaluations]() Original publisher: [Read original article]() Author: Meghana Ashok Published: 2026-09-11T18:26:38Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [ai observability](), [AWS IAM](), [incident](), [Orchestration](), [telemetry]() Tags: [advanced-300](), [agent](), [agents](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [aws](), [aws-identity-and-access-management-iam](), [best-practices](), [devops](), [incident](), [infrastructure-monitoring](), [logs](), [metrics](), [monitoring](), [orchestration](), [production](), [tracing]() ### AI overview The article describes monitoring production multi-agent systems with Amazon Bedrock AgentCore Evaluations for continuous quality assessment and AWS DevOps Agent for autonomous infrastructure incident investigation. ### Source excerpt Multi-agent systems fail in ways traditional monitoring misses. This post presents a dual-layer approach to monitoring production agents: Amazon Bedrock AgentCore Evaluations for continuous quality scoring and AWS DevOps Agent for autonomous infrastructure investigation, shown on a four-agent airline reservation system. ## Build interactive MCP Apps using Amazon Bedrock AgentCore DevFeed: [Build interactive MCP Apps using Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Dantis Stephen Published: 2026-09-11T18:23:17Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [AI Chat](), [Web Development]() Tags: [amazon-bedrock-agentcore](), [chatgpt](), [claude](), [how-to](), [html](), [intermediate-200](), [mcp](), [model-context-protocol](), [serverless](), [technical-how-to](), [ui]() ### AI overview Tutorial on building and deploying an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore for use across supported AI hosts. ### Source excerpt Learn how to build and deploy an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore. Because MCP Apps is a host-agnostic standard, the same server delivers the same rich experience across AI hosts like ChatGPT and Claude that support the extension. ## From zero-shot forecast to purchase order with Amazon Bedrock AgentCore DevFeed: [From zero-shot forecast to purchase order with Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Hyunsoo Kim, Ph.D. Published: 2026-09-11T14:08:01Z Content type: article Language: en Sources: [AWS Architecture Blog]() Topics: [AI Bots](), [Training AI Models](), [SDKs]() Tags: [advanced-300](), [agents](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [automation](), [best-practices](), [orchestration](), [strands-agents](), [time-series](), [training](), [zero-shot]() ### AI overview An architecture article on using Amazon Chronos2 zero-shot forecasting and Bedrock AgentCore multi-agent orchestration to turn demand forecasts into validated purchase orders without per-product model training. ### Source excerpt Combine zero-shot forecasting with Amazon Chronos2 and multi-agent orchestration on Amazon Bedrock AgentCore to turn demand forecasts into validated purchase orders. No per-product model training, with business rules, auditability, and cost that scales to zero. ## How AvioBook builds turnaround insights from operational data with Amazon Bedrock AgentCore DevFeed: [How AvioBook builds turnaround insights from operational data with Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Petra Lafond Published: 2026-09-10T15:53:05Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [data](), [Software]() Tags: [agentic](), [agents](), [airline](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [analytics](), [apis](), [customer-solutions]() ### AI overview AvioBook prototyped Connected Analytics on Amazon Bedrock AgentCore to turn flight and ground-operations data into evidence-based answers about airline turnaround delays. ### Source excerpt AvioBook, a Thales Group Company, prototyped Connected Analytics on Amazon Bedrock AgentCore to turn AvioBook Connect's operational data into plain-language, evidence-based answers for airline managers and dispatchers, helping them find and act on the causes of flight turnaround delays. ## ICYMI: What landed for AI builders in August 2026 DevFeed: [ICYMI: What landed for AI builders in August 2026]() Original publisher: [Read original article]() Author: Tanvi Girinath Published: 2026-09-09T20:01:03Z Content type: news Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock](), [Inference](), [Caching](), [SDKs](), [Deployment]() Tags: [agents](), [ai](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [announcements](), [caching](), [deployment](), [govcloud](), [inference](), [intermediate-200](), [latency](), [open](), [robots](), [updates]() ### AI overview A recap of August 2026 Amazon Bedrock, AgentCore, and Strands updates for AI builders, including expanded context windows, inference, long-running agents, GovCloud availability, and robot deployment. ### Source excerpt A recap of August 2026 launches for AI builders across Amazon Bedrock, Amazon Bedrock AgentCore, and Strands: million-token context for OpenAI models, cross-Region inference, agents that run for up to 14 days on dedicated compute, expanded AWS GovCloud availability, and Strands Robots for physical deployment. ## How Heurist Finance built an AI-native investment workbench on Amazon Bedrock AgentCore DevFeed: [How Heurist Finance built an AI-native investment workbench on Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: JW Wang Published: 2026-09-09T18:11:12Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock](), [Claude](), [Orchestration](), [tracing]() Tags: [advanced-300](), [agent](), [ai](), [amazon-bedrock-agentcore](), [anthropic-claude](), [customer-solutions](), [identity](), [memory](), [observability](), [sandbox](), [tracing]() ### AI overview Heurist Finance uses Amazon Bedrock AgentCore to run a conversational investment workbench that accesses premium data per query and produces auditable, personalized research responses. ### Source excerpt Learn how Heurist built Heurist Finance, a conversational AI investment workbench, on Amazon Bedrock AgentCore. This customer story shows how AgentCore payments, Identity, Memory, Code Interpreter, and Observability let a small team buy premium market data per query, isolate analysis in a sandbox, and keep every action auditable. ## Two Goals I Missed in August DevFeed: [Two Goals I Missed in August]() Original publisher: [Read original article]() Author: Prasad Rao Published: 2026-08-27T16:39:00Z Content type: opinion Language: en Sources: [Big Tech Careers]() Topics: [Tech Careers](), [Amazon Bedrock AgentCore](), [Amazon Web Services](), [OpenAI]() Tags: [amazon-bedrock-agentcore](), [aws](), [bias](), [careers](), [claude](), [funding](), [hiring](), [linkedin](), [promotion](), [tech-careers]() ### AI overview The author reflects on missing a weekly publishing goal and completing none of three planned Claude certifications. The article also argues that LinkedIn highlights successes while concealing the setbacks behind them, creating a distorted view through survivorship bias. ### Source excerpt LinkedIn is lying to you. What you don't see behind the scene! ## Closing the AI agent trust gap with graduated autonomy DevFeed: [Closing the AI agent trust gap with graduated autonomy]() Original publisher: [Read original article]() Author: Dev Arora Published: 2026-08-26T17:33:03Z Content type: article Language: en Sources: [AWS Architecture Blog]() Topics: [Artificial Intelligence](), [AI Agent](), [Authorization](), [Amazon Bedrock](), [Amazon Web Services](), [Large Language Model](), [tracing](), [configuration](), [Provisioning]() Tags: [agent](), [agents](), [ai](), [ai-agent](), [ai-agents](), [amazon](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [api](), [aws](), [compliance](), [evaluation](), [infrastructure](), [large-language-model](), [logs](), [model](), [policy](), [production](), [thought-leadership](), [tracing]() ### AI overview This article presents graduated autonomy as an architectural pattern for closing the trust gap in AI agents. Agents gain permissions through sustained reliability and lose them when performance degrades, using trust scoring, autonomy tiers, pre- and post-execution controls, policy enforcement, provenance, reversibility, and delivery gates. The design uses Amazon Bedrock AgentCore, Amazon DynamoDB, and AWS CodePipeline. ### Source excerpt Most teams give AI agents either full access or read-only, leaving value unused or risk unmanaged. This post describes graduated autonomy, an architectural pattern in which agents earn expanded permissions through sustained reliability and lose them when performance degrades, built on Amazon Bedrock AgentCore, Amazon DynamoDB, and AWS CodePipeline. ## How AgentFlo built AI sales agents with Amazon Bedrock AgentCore - Part 2 DevFeed: [How AgentFlo built AI sales agents with Amazon Bedrock AgentCore - Part 2]() Original publisher: [Read original article]() Author: Muhammad Musab Iqbal Published: 2026-08-21T10:01:18Z Content type: article Language: en Sources: [AWS Architecture Blog]() Topics: [AI Bots](), [ai observability]() Tags: [advanced-300](), [agents](), [ai](), [ai-agents](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [architecture](), [autonomous](), [autonomous-agents](), [aws](), [aws-fargate](), [customer-solutions](), [observability](), [policy](), [sales](), [security](), [serverless]() ### AI overview AgentFlo's second architecture post explains how it uses Amazon Bedrock AgentCore and AWS serverless components to operate AI sales agents with layered safeguards. It emphasizes controls before requests, during tool execution, and after responses, while reporting an early 12% net-revenue uplift. ### Source excerpt Part 2: how AgentFlo built trusted, reliable AI sales agents on Amazon Bedrock AgentCore and AWS serverless architecture. Learn the three-layer guardrails, grounded data foundation, and end-to-end observability behind a +12% net revenue uplift, plus what's next for real-time voice and server-side tool execution. ## How AgentFlo built AI sales agents with Amazon Bedrock AgentCore - Part 1 DevFeed: [How AgentFlo built AI sales agents with Amazon Bedrock AgentCore - Part 1]() Original publisher: [Read original article]() Author: Muhammad Musab Iqbal Published: 2026-08-20T00:32:52Z Content type: article Language: en Sources: [AWS Architecture Blog]() Topics: [AI Bots](), [AI Chat]() Tags: [ai-agents](), [amazon-bedrock-agentcore](), [customer-solutions](), [sales](), [scalability](), [strands-agents](), [whatsapp]() ### AI overview AgentFlo describes building always-on AI sales agents with Amazon Bedrock AgentCore and the Strands Agents SDK. Part 1 focuses on velocity, standardization, and scalability for commerce conversations. ### Source excerpt Learn how AgentFlo built always-on AI sales agents on Amazon Bedrock AgentCore and the Strands Agents SDK. Part 1 covers three pillars of production-grade agents--velocity, standardization, and scalability--including recipe-based deployment, tool routing through AgentCore Gateway, and elastic, stateful commerce conversations. ## Propagate user authorization context in AI agents with Amazon Bedrock AgentCore DevFeed: [Propagate user authorization context in AI agents with Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Anshu Bathla Published: 2026-08-19T17:24:15Z Content type: article Language: en Sources: [AWS Security Blog]() Topics: [Amazon Bedrock AgentCore](), [AI Agent](), [Authorization](), [AWS Identity and Access Management (IAM)](), [Amazon Bedrock Knowledge Bases](), [Amazon DynamoDB](), [Amazon S3](), [prompt injection](), [Amazon Web Services](), [Software as a service]() Tags: [access-control](), [advanced-300](), [ai-agents](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [amazon-bedrock-knowledge-bases](), [amazon-dynamodb](), [amazon-s3](), [artificial-intelligence](), [authorization](), [aws](), [prompt-injection](), [security-blog](), [security-identity-compliance](), [technical-how-to]() ### AI overview This article explains how to propagate user authorization context through AI agents built with Amazon Bedrock AgentCore. It presents a pattern for enforcing least-privilege access in downstream data services and infrastructure, so agents can access DynamoDB, Bedrock Knowledge Bases, S3-backed documents, and other sources only within the requesting user's permissions. ### Source excerpt Many teams now deploy AI agents that pull from Amazon DynamoDB tables, document repositories, software as a service (SaaS) platforms, and internal knowledge bases to answer questions and automate workflows. A key risk in these deployments is that the agent has no awareness of who's asking, so it might return data the user shouldn't see. [...] ## AI-powered clinical trial eligibility and safety using Amazon Bedrock AgentCore DevFeed: [AI-powered clinical trial eligibility and safety using Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Sachin Jain Published: 2026-08-19T13:11:51Z Content type: tutorial Language: en Sources: [AWS Architecture Blog]() Topics: [AI Bots]() Tags: [advanced-300](), [agent](), [agents](), [ai](), [ai-agents](), [amazon](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [aws](), [data](), [how-to](), [knowledge-graph](), [llm](), [reasoning](), [safety](), [thought-leadership]() ### AI overview An AWS architecture tutorial for a clinical-trial eligibility and safety agent. It uses Amazon Bedrock AgentCore, AWS HealthLake, knowledge-graph evidence, evaluations, and human-in-the-loop review to support clinician-led screening decisions. ### Source excerpt AI agents built on Amazon Bedrock AgentCore help clinical trial teams make fast, accurate enrollment decisions while keeping clinicians in control. This post shows how to architect an eligibility and safety screening agent using AWS HealthLake, AgentCore, and AgentCore Evaluations. ## Implement custom authentication for tools integration using request Lambda interceptor in AgentCore Gateway DevFeed: [Implement custom authentication for tools integration using request Lambda interceptor in AgentCore Gateway]() Original publisher: [Read original article]() Author: Nishant Mainro Published: 2026-08-18T20:46:26Z Content type: tutorial Language: en Sources: [AWS Security Blog]() Topics: [Amazon Bedrock AgentCore](), [Amazon Bedrock](), [AI Agent](), [Security](), [IAM](), [Model Context Protocol](), [OAuth 2.0](), [Architecture & Design](), [JSON Web Tokens]() Tags: [advanced-300](), [ai-agents](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [artificial-intelligence](), [aws-identity-and-access-management-iam](), [aws-lambda](), [model-context-protocol](), [oauth](), [prompt-injection](), [secrets](), [security](), [security-blog](), [security-identity-compliance](), [technical-how-to]() ### AI overview This tutorial explains how to use a request Lambda interceptor in Amazon Bedrock AgentCore Gateway to support legacy Basic Authentication for downstream tool APIs. The interceptor retrieves service credentials from AWS Secrets Manager and constructs the authentication header while keeping credentials isolated from the AI agent. The article also describes the inbound MCP request flow and cautions that Basic Auth should be treated as an interim measure, with modernization toward OAuth 2.0, SAML, OpenID Connect, or IAM recommended. ### Source excerpt When deploying AI agents with Amazon Bedrock AgentCore, organizations benefit from built-in modern support for OAuth 2.0, AWS Identity and Access Management (IAM), and API key authentication through Amazon Bedrock AgentCore Gateway. However, some enterprise environments still use legacy authentication mechanisms such as HTTP Basic Authentication (Basic Auth) (RFC 7617). The extensible architecture of AgentCore [...] ## AWS Weekly Roundup: AWS Heroes Summit, Web Search on Amazon Bedrock, Dogwood, Kiro Crew, and more (August 10, 2026) DevFeed: [AWS Weekly Roundup: AWS Heroes Summit, Web Search on Amazon Bedrock, Dogwood, Kiro Crew, and more (August 10, 2026)]() Original publisher: [Read original article]() Author: Channy Yun (윤석찬) Published: 2026-08-10T15:45:03Z Content type: article Language: en Sources: [AWS News Blog]() Topics: [Amazon Bedrock](), [Amazon Web Services](), [Artificial Intelligence](), [Amazon Bedrock AgentCore](), [Amazon DynamoDB](), [AWS Transform](), [Embeddings](), [Containers](), [Serverless](), [Mainframe](), [OpenAI]() Tags: [ai](), [amazon](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [amazon-dynamodb](), [applications](), [aws](), [aws-lambda](), [aws-transform](), [bedrock](), [containers](), [embeddings](), [kiro](), [modernization](), [news](), [open-source](), [product](), [serverless](), [week-in-review]() ### AI overview This AWS Weekly Roundup covers the AWS Heroes Summit and selected launches, including web search for OpenAI models in Amazon Bedrock, dedicated runtime instances for agents in Amazon Bedrock AgentCore, vector search in Amazon DynamoDB, and general availability of AWS Transform continuous modernization. ### Source excerpt Last week, we brought together AWS Heroes from around the world to connect, collaborate, and celebrate the builders who go above and beyond for the AWS community. The AWS Heroes Summit, an invite-only annual gathering, brings global experts specializing in fields like AI, serverless, and containers together for direct collaboration, technical deep-dives, and feedback sessions [...] ## Runtime instances: persistent compute for production AI agents on Amazon Bedrock AgentCore DevFeed: [Runtime instances: persistent compute for production AI agents on Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Sébastien Stormacq Published: 2026-08-06T22:58:00Z Content type: release Language: en Sources: [AWS News Blog]() Topics: [Amazon Bedrock](), [Artificial Intelligence](), [Amazon EC2](), [Amazon Web Services](), [GPU](), [observability]() Tags: [agents](), [ai](), [ai-agents](), [amazon](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [apis](), [aws](), [bedrock](), [compute](), [developers](), [framework](), [infrastructure](), [launch](), [memory](), [model](), [monitoring](), [news](), [os](), [production](), [storage](), [tools]() ### AI overview Amazon Bedrock AgentCore runtime instances provide persistent, AWS-managed EC2 infrastructure for production AI agents. The feature supports multi-agent collaboration, shared sessions lasting up to 14 days, GPU acceleration, containerized deployments, session stop/restart, and integration with EBS, AgentCore Memory, existing APIs, identity controls, and observability. ### Source excerpt Announcing runtime instances in Amazon Bedrock AgentCore--persistent, managed EC2 infrastructure for production AI agents with multi-agent collaboration, GPU support, and sessions lasting up to 14 days. ## Introducing Dogwood: runtime verification for AI agents DevFeed: [Introducing Dogwood: runtime verification for AI agents]() Original publisher: [Read original article]() Author: Marc Brooker Published: 2026-08-06T16:30:54Z Content type: release Language: en Sources: [AWS Open Source Blog]() Topics: [AI Bots]() Tags: [agent](), [agentic](), [agents](), [ai](), [ai-agents](), [amazon](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [automated-reasoning](), [open-source](), [policy](), [safety](), [tool](), [tools](), [workflows]() ### AI overview Dogwood is an open-source governance language for runtime verification of AI-agent tool use. It supports policies over sequences of actions, such as approval prerequisites, rate limits, ordering, and restrictions after accessing confidential information. ### Source excerpt Part of what makes AI agents so useful is their ability to interact with the external world by running tools. But these tool calls are also the source of the biggest risks when it comes to making agents safe to use. The best way to address these risks in a dependable and reliable manner is [...] ## AWS Weekly Roundup: Local Zone in Athens, Claude Opus 5 on AWS, Lambda durable execution for .NET, and more (July 27, 2026) DevFeed: [AWS Weekly Roundup: Local Zone in Athens, Claude Opus 5 on AWS, Lambda durable execution for .NET, and more (July 27, 2026)]() Original publisher: [Read original article]() Author: Daniel Abib Published: 2026-07-27T14:54:41Z Content type: news Language: en Sources: [AWS News Blog]() Topics: [Amazon Web Services](), [AWS Local Zones](), [Latency](), [Amazon Bedrock](), [Amazon EC2](), [Amazon S3](), [Claude](), [cloud-infrastructure](), [Amazon Elastic Container Service](), [anthropic](), [data-governance]() Tags: [amazon-bedrock](), [amazon-bedrock-agentcore](), [amazon-connect](), [amazon-ec2](), [amazon-s3](), [amazon-sagemaker-ai](), [announcements](), [anthropic](), [aws](), [aws-lambda](), [aws-local-zones](), [claude](), [data-governance](), [latency](), [news](), [week-in-review]() ### AI overview An AWS weekly roundup covering a new Local Zone in Athens, Greece, and selected AWS launches and updates, including Claude Opus 5 on Amazon Bedrock. The article highlights local data processing, data residency, low latency, and infrastructure for regional workloads. ### Source excerpt Last week I had the privilege of spending three days in São Paulo with technical builders from across Latin America, brought together for a regional tech event full of deep-dive sessions, hands-on workshops, and conversations with customers and partners. What struck me most wasn't any single session, it was the energy of a technical community [...] ## Amazon is investing in the Lean Focused Research Organization DevFeed: [Amazon is investing in the Lean Focused Research Organization]() Original publisher: [Read original article]() Author: Byron Cook; Shawn Bice Published: 2026-07-26T08:00:00Z Content type: news Language: en Sources: [Amazon Science homepage]() Topics: [AI Bots](), [AI Chat]() Tags: [agents](), [ai-agents](), [amazon](), [amazon-aurora](), [amazon-bedrock](), [amazon-bedrock-agentcore](), [amazon-web-services-aws](), [automated-reasoning](), [aws](), [developer](), [formal-verification](), [generative-ai](), [large-language-models-llms](), [llm](), [programming](), [programming-language](), [research](), [responsible-ai](), [safety](), [software-testing](), [testing](), [trustworthy-ai]() ### AI overview Amazon is making a long-term investment in the Lean Focused Research Organization to advance Lean, a programming language for mathematical correctness proofs. The article highlights Lean-based verification for safer AI agents and AWS systems. ### Source excerpt As AI agents take on higher-stakes decisions, Lean programming language makes it possible to mathematically prove they will behave safely. [Next page]()