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COMPANY · ENTITY #580

Amazon Bedrock AgentCore

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EVENT TIMELINE

36

COMPANIES · 1 SOURCE · AWS Machine Learning

Amazon showcases agentic engineering assistant using Bedrock AgentCore and Nova Multimodal Embeddings

AWS published a how-to demonstrating a multi-agent engineering assistant built on Amazon Bedrock AgentCore that uses Amazon Nova Multimodal Embeddings, Claude 5.5-family models, Strands Agents SDK, and Amazon S3 Vectors to retrieve multimodal datasheets, score candidate parts with deterministic tolerance rules, compare photos, and draft audit-ready substitution assessments while keeping the engineer as decision-maker. The solution also shows managed knowledge bases, a web-search connector for live data, and generation of Integration Impact Assessments aligned with AS9100.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Circle K automates DevOps triage with Amazon Bedrock, cuts mean time to triage to under 15 minutes

Circle K built an automated, agentic triage system on Amazon Bedrock (initially with Bedrock Flows, later migrated to Bedrock AgentCore) that queries logs, services, and internal runbooks and posts structured summaries to Slack; the team reports mean triage time fell to under 15 minutes (a 67–75% reduction by their metrics). The implementation used managed Bedrock features (Agents/AgentCore and Bedrock Knowledge Bases for RAG) to avoid self-hosting models and orchestration code.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Amazon publishes Enterprise Agentic AI Platform blueprint built on Bedrock AgentCore

Amazon published a reference architecture and a companion "Enterprise Agentic AI Platform Blueprint" built on Amazon Bedrock AgentCore that describes a multi-account, governed platform pattern with per-workstream deployments, separate inference and tool gateways, identity and cost controls, and an evaluation pipeline; the blueprint is available as deployable infrastructure-as-code.

7.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Hands-on guide: Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI with AgentCore

Amazon published a hands-on guide demonstrating Multi-Turn Reinforcement Learning (MTRL) on SageMaker AI that uses an agent hosted on Amazon Bedrock AgentCore (or on user infrastructure) to sample policy models and return episode-level rewards. The post walks an end-to-end pipeline (deployment, dataset prep, LoRA training with GRPO, MLflow monitoring, evaluation), uses Wordle as a toy example, reports improving GPT-OSS-20B solve rate from 61% to 84% (and from 15% to 69% at a lower reasoning effort) for about $339 in training tokens, and provides code in an aws-samples repo.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Eon uses Amazon Bedrock AgentCore Gateway to centralize multi-cloud MCP access

Eon implemented a centralized authenticated gateway using Amazon Bedrock AgentCore (Gateway, Runtime, Policy, Identity) to replace per-tool credentials and local MCP processes, giving engineers and autonomous agents unified access to investigation tooling across AWS, GCP, and Azure. The change reduced developer onboarding for investigation tooling from about two days to roughly two minutes and lets Eon's autonomous SRE agent (Claude on Bedrock) access the same tools with separate identities and permissions.

6.0

CODING · 1 SOURCE · AWS Machine Learning

Measured autoscaling for TTS on Amazon SageMaker using Kokoro-82M

A how-to demonstrates deploying Kokoro-82M (an 82M-parameter non-autoregressive TTS) as a custom container on an Amazon SageMaker AI real-time endpoint via AWS CDK and replacing a guessed autoscaling target with one derived from two live measurements: Q_max (max per-instance concurrency inside the SLO) and T_total (end-to-end scale-out time). The deployment uses SageMaker's native ConcurrentRequestsPerModel metric (reported to CloudWatch) and supports both InvokeEndpointWithResponseStream and InvokeEndpointWithBidirectionalStream transports; tooling converts client-measured concurrency into CloudWatch units and the example run reported a 1.0 ratio between measured and published values.

6.0

CODING · 1 SOURCE · AWS Machine Learning

AWS open-sources Deep Insight, a production multi-agent system using Amazon Bedrock AgentCore

The AWS Solutions Architecture team published Deep Insight, an open-source, production-grade multi-agent system and a three-part blog series detailing its architecture, Context Engineering practices, and deployment. Deep Insight (GitHub) includes self-hosted, web, and a managed AgentCore deployment that runs agents in isolated per-user environments inside a private VPC with a Code Interpreter on AWS Fargate.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS blog demonstrates conversational supply-chain workflows using Bedrock AgentCore and Amazon Quick

An AWS blog post walks through a pattern using Amazon Bedrock AgentCore (the agentic intelligence layer) together with Amazon Quick (a conversational interface) to query live systems of record via Model Context Protocol (MCP) tools and orchestrate end-to-end supply‑chain tasks like disruption impact assessment and emergency RFQs. The post describes architecture, MCP connectors, and a step‑by‑step conversational demo that returns grounded, approval‑gated actions from multiple backends.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS Agent Registry enables runtime discovery of MCP servers and agent skills

AWS describes AWS Agent Registry, a managed catalog for registering and semantically searching Model Context Protocol (MCP) servers, agents, and agent skills so orchestrators can discover and instantiate tools at runtime rather than hardcoding endpoints. The post includes a Python reference that wires Amazon Bedrock AgentCore Gateway, AgentCore runtime A2A agents, and an orchestrator that searches the registry, constructs clients from descriptors, and invokes capabilities (authentication must be obtained separately).

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AtScale C2026.7 walkthrough: build a semantic layer for Amazon Bedrock AgentCore agents

A technical walkthrough demonstrates using AtScale (C2026.7) as a dimensional semantic layer (modeled in SML) for agentic workflows on Amazon Bedrock AgentCore. The post shows a Strands agent running on AgentCore (with Anthropic Claude Sonnet 4.6 for the demo), how AtScale exposes a single model over SQL/XMLA/MCP, identity and RBAC propagation through AgentCore to AtScale, query pushdown to Amazon Redshift Serverless, and deployment on Amazon EKS.

5.0

MODELS · 1 SOURCE · AWS Machine Learning

Strategy Mosaic exposes MCP access for agentic AI with Amazon Bedrock AgentCore (Strategy One, Mar 2026)

A Strategy blog post demonstrates using Strategy Mosaic as a dimensional semantic layer for a customer-360 pattern across Amazon Redshift and Amazon Aurora and exposing certified models via the Mosaic Model Context Protocol (MCP) to a Strands agent hosted on Amazon Bedrock AgentCore. The walkthrough (source of truth: Strategy One, March 2026) covers modeling, metric syntax, linked models with no ETL, per-user RLS/OLS propagation, live vs in-memory execution, and publishing the same governed definitions to BI, notebooks, and custom apps.

5.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS develops production-ready evaluation framework for agents using Bedrock AgentCore

AWS's SMGS Operations team built a continuous quality-evaluation loop for multi-agent systems used by AWS Field Sales, leveraging Amazon Bedrock AgentCore and other AWS services. The system coordinates specialized sub-agents (Performance Insights, Customer Insights, Data Insights), adds pre-release and continuous monitoring, and aims to detect ungrounded or incorrect answers and trace failures to data, prompts, or code.

7.0

CODING · 1 SOURCE · AWS Machine Learning

Build agentic intelligent document processing on Amazon Bedrock AgentCore with Strands Agents

AWS published a how-to for an agentic intelligent document processing (IDP) solution that uses Amazon Bedrock AgentCore and the open-source Strands Agents SDK to classify, extract, validate, and self-learn from business documents. The architecture ties AgentCore runtime and identity capabilities to AWS services (Textract, S3 Vectors, Aurora DSQL, Lambda, EventBridge, DynamoDB, ECS) in multi-agent workflows so new document formats can be processed and reused with minimal manual template configuration.

6.0

CODING · 1 SOURCE · AWS Machine Learning

Amazon Bedrock AgentCore demo automates PowerPoint creation using Claude Sonnet 4.6

AWS published a how-to showing an AI agent system built on Amazon Bedrock AgentCore that automates generating client PowerPoint presentations from enterprise documents. The solution uses a supervisor agent (AgentCore runtime + Strands Agents) with Anthropic Claude Sonnet 4.6 for content, Amazon Titan Text Embeddings v2 and Amazon OpenSearch Serverless for RAG vector search, Stability AI Stable Image Inpaint for images, a .NET 8 REST API and AWS Lambda for generation, and a public code repository; internal testing completed in under 90 seconds.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

ShipStation Global builds 'Deckhand' AI IT help desk on Amazon Bedrock AgentCore

ShipStation Global built Deckhand, an AI-powered IT help desk agent for Slack, using Amazon Bedrock AgentCore and Anthropic’s Claude. Deckhand draws on a consolidated Bedrock-indexed knowledge base, reads error screenshots, and creates/updates Jira Service Management tickets, reportedly resolving 97.5% of incoming channel queries with a 96% positive employee feedback rating.

6.0

MODELS · 1 SOURCE · AWS Machine Learning

AWS updates Bedrock, AgentCore, and Strands — OpenAI models on Bedrock and new agent tooling (Sep 2026)

AWS announced September 2026 updates to Amazon Bedrock, Bedrock AgentCore, and the open-source Strands toolkit: Amazon Bedrock Managed Agents (powered by OpenAI) entered public preview; the AgentCore runtime reduced cold-start latency and memory overhead for serverless agents; Strands released an open-source harness that uses ~28% fewer tokens and the Decider 2B local decision model (~115 ms); and OpenAI’s Astra, Sol, and Luna families (including GPT-6 Astra and Astra Ultrafast) became available on Bedrock alongside updated Claude versions (Fable 5.1, Opus 5.5).

8.0

MONEY · 1 SOURCE · AWS Machine Learning

Amazon Bedrock AgentCore payments used by Incarna to enable pay-per-inference with BlockRun

Incarna integrated Amazon Bedrock’s AgentCore payments to let its AI agents pay BlockRun for individual model inferences via the x402 payment flow. AgentCore payments provisions wallets (via Coinbase CDP or Stripe Privy), signs x402 payment requests, enforces spending limits outside the model, and settles transactions in USDC on the Base network.

6.0

COMPANIES · 1 SOURCE · The Decoder

Zenity finds chain of flaws letting one prompt hijack all AWS Bedrock AgentCore agents in a region

Security researchers at Zenity Labs reported a chain of vulnerabilities they call 'AgentCorruption' in Amazon's Bedrock AgentCore that let a single chat prompt to a publicly reachable agent expose instance metadata and temporary credentials, then pivot to take over every AgentCore agent in the same AWS account and region. AWS has partially mitigated the issue by making IMDSv2 the default for new AgentCore deployments and tightening the default execution role, and Zenity recommends manually scoping agent roles to minimal permissions.

8.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Six-week playbook helps non-engineers build multi-agent AI prototypes with Amazon Bedrock and Strands

A six-week structured program paired business professionals with mentors and production-grade tools (Amazon Bedrock AgentCore, Strands Agents SDK, DynamoDB, Node.js/Python Flask) to close the gap between AI knowledge and hands-on capability; participants built WealthWise, a multi-agent financial advisory prototype using Amazon Nova models and won first place. The article lays out the program structure, barriers encountered, and five principles that supported rapid learning and prototype delivery.

4.0

CODING · 1 SOURCE · AWS Machine Learning

AWS blog: guide to building a context-aware assistant with OpenClaw on AgentCore

A how-to blog post demonstrates building a personal, memory-enabled AI assistant (example: ‘Sprout’ gardener) by combining OpenClaw with Amazon Bedrock AgentCore runtime and AgentCore memory, with deployment packaged as a single CloudFormation template. The guide shows architecture, cost/consumption tradeoffs, required components (including Claude Haiku 4.5 / Claude Sonnet 4.5 access), and a one-command deploy path for personal use.

7.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS publishes tutorial to build a voice travel concierge with Bedrock AgentCore and Nova 2.5 Sonic

AWS published a how-to demonstrating a voice travel concierge built with Amazon Bedrock AgentCore (runtime and Gateway), Amazon Nova 2.5 Sonic for real‑time speech, and Amazon Bedrock Knowledge Bases, using the AWS CDK and the Model Context Protocol (MCP) to connect the agent to backend services. The post details architecture, components (authentication, data stores, Lambdas, API Gateway), and a sample airline implementation that keeps the agent loosely coupled to existing systems.

5.0

CODING · 1 SOURCE · AWS Machine Learning

Amazon publishes Quick Resource Migrator — MCP server on Bedrock AgentCore to automate cross-account promotion

Amazon posted a sample Quick Resource Migrator — an idempotent, auditable Model Context Protocol (MCP) server running on Amazon Bedrock AgentCore that automates promotion of Amazon Quick resources (agents, connectors, knowledge bases, flows, spaces) across AWS accounts. The tool reads resources and permissions via the Amazon Quick API, upserts them into a target account, writes versioned backups to S3, and provides a read-only preview; source code is available in the aws-samples repository.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Amazon Bedrock AgentCore adds Evaluations to measure multi-agent helpfulness and explainability

Amazon describes Amazon Bedrock AgentCore Evaluations, a fully managed capability for assessing multi-agent system performance with built-in and custom evaluators for dimensions like helpfulness, task success, and explainability, and shows how it pairs with Bedrock Guardrails for runtime safeguards. The post includes a reference implementation using Strands Agents SDK, an orchestrator and specialized sub-agents, Bedrock runtimes, and MCP Server to demonstrate evaluation and explainability in a supply‑chain scenario.

6.0

CODING · 1 SOURCE · AWS Machine Learning

Amazon Bedrock AgentCore Gateway adds secure Web Search access to Claude Desktop

AWS shows a step-by-step walkthrough to connect Claude Desktop on Amazon Bedrock to AgentCore Gateway’s managed Web Search, using JWT-based inbound authentication with Amazon Cognito and AWS IAM Identity Center so query traffic stays within AWS. The guide covers configuration, SAML/OAuth federation, and notes regional availability in us-east-1, eu-west-1, and ap-northeast-1.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS documents Amazon Bedrock AgentCore multi-agent workflows and integrations for cloud migrations and agent workloads

An AWS technical post explains how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate end-to-end enterprise cloud migrations and reduce infrastructure-as-code development time from weeks to minutes. The post also covers related how-tos and integrations — Live Data in Amazon QuickSight, using Amazon S3 Vectors as persistent memory with NVIDIA NeMo Agent Toolkit on EKS, ambient/ambient-agent patterns, Claude Platform configuration on AWS, personalization with SageMaker AI, fine-tuning Nova 2 Lite for uniopen, a Bedrock Knowledge Bases conversational claims assistant, and AgentCore Runtime Instances for colocated GPU agent workflows.

7.0

CODING · 1 SOURCE · AWS Machine Learning

Amazon Bedrock AgentCore guide for ambient agents with event-driven, human-in-the-loop workflows

AWS published a walkthrough and reference implementation showing how to build "ambient" agents on Amazon Bedrock AgentCore that react to event streams (S3, EventBridge, scheduled tasks), pause for human approval via a single ask_human tool, and resume—using AgentCore Runtime plus serverless AWS components (Lambda, DynamoDB, SQS) and Bedrock foundation models. The post includes a sample deployment path requiring AWS CLI, CDK v2, Docker, and an ECR-hosted agent container, and notes session timeouts align with Lambda's 15-minute limit in the reference.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

HEMA builds internal assistant HAL using Model Context Protocol and Amazon Bedrock AgentCore

Dutch retailer HEMA created HAL, an internal AI assistant that consolidates fragmented internal knowledge and delivers answers inside existing tools by exposing sources as MCP tools and running agents on Amazon Bedrock AgentCore. Identity is anchored with Microsoft Entra ID, and AgentCore features (Gateway, Runtime, Memory, Guardrails) were used to avoid custom MCP server infrastructure.

5.0

CODING · 1 SOURCE · AWS Machine Learning

Strands Evals SDK and Amazon Bedrock AgentCore add skill-focused evaluators

Strands Evals SDK and Amazon Bedrock’s AgentCore Evaluations now include skill-focused evaluators that measure whether an agent chose the appropriate skill (Skill Selection Accuracy) and how fully it followed that skill’s instructions (Skill Instruction Following). Strands also provides a deterministic SkillInvoked check; evaluations can run from Strands trajectories or OpenTelemetry traces and be used via the AgentCore CLI.

6.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Reactiv automates mobile app updates with Amazon Bedrock AgentCore, cutting configuration time 80%

Reactiv says it built a three-agent AI Scheduler using Amazon Bedrock AgentCore and the Strands Agents SDK to autonomously update Shopify merchants' native apps; the company reports an 80% reduction in merchant configuration time and 33% faster path to production. The implementation uses AgentCore runtime, memory, and identity for managed agent execution, persistent per-merchant memory, and native hosting of their Config MCP.

5.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Benchling runs multi-tenant AI agent code using Amazon Bedrock AgentCore Code Interpreter in VPC mode

Benchling described a defense-in-depth architecture to run AI agent‑generated scientific code across thousands of life‑sciences tenants using Amazon Bedrock AgentCore’s Code Interpreter in VPC mode. The setup places untrusted executions in a separate AWS account (the “Untrusted Code Account”), enforces DNS-level controls with Route 53 Resolver DNS Firewall, restricts network paths to specific VPC endpoints, injects per-job credentials via AWS STS, and runs continuous validation; the architecture reportedly handles >600 code execution sessions per day across >250 tenants per week with zero security incidents.

6.0