HEMA builds HAL internal AI assistant on Amazon Bedrock AgentCore with MCP
HEMA, a 100-year-old Dutch retailer, built HAL, an internal AI assistant on Amazon Bedrock AgentCore. Using Model Context Protocol (MCP), HAL delivers governed knowledge inside the tools teams already use, with no AWS credentials on the client and security anchored in Microsoft Entra ID, replacing developer portal-hopping with instant answers.
Sources and evidence
Summary last validated Sep 28, 2026
Reader actions
Report an issue
Use this for an incorrect summary, wrong source, duplicate story, or wrong category. Submissions are private and do not change the story automatically.
Related coverage
- agents
OpenAI Python SDK v3.28.0 adds agent environment suspension and expiration
OpenAI released openai-python v3.28.0 on October 9, 2026. The update adds API support for agent environment suspension and expiration, per the release notes. It also includes routine dependency bumps, including a PyJWT security constraint update to 2.14.0.
- agents
Anthropic ships Claude Code v2.1.296 with gateway code policies and subagent auto-compact
Anthropic released Claude Code v2.1.296. It adds a `code` key to the Claude apps gateway's managed policies, applying CLI settings in Claude Desktop's Code tab and enabling gateway mode. Subagent frontmatter and `--agents` gain `autoCompactWindow`, plus new env vars for workflow subagent models and overloaded-request retry delays. Several managed-hook and gateway sign-in bugs were fixed.
- models
AWS Adds Bedrock Models, Faster AgentCore Agents, Knowledge Base Sync
AWS's September 2026 recap covers Amazon Bedrock, Bedrock AgentCore, and Strands updates: broader model choice, faster serverless agents with built-in evaluation, and automated knowledge base syncing via native enterprise connectors. The post aggregates the month's releases for AI builders across AWS's model and agent tooling.
- agents
Postman runs Agent Mode for 40 million developers on Amazon Bedrock
Postman and AWS detailed the architecture behind Postman's Agent Mode, which serves 40 million developers on Amazon Bedrock. The post covers controlling tool sprawl, exposing schema-based reads, and treating context as the real bottleneck when running an AI agent at scale rather than in a demo.
- agents
NVIDIA Highlights Developers Using Frontier AI Agents With Omniverse Libraries
NVIDIA published a blog post describing how developers combine frontier AI models with NVIDIA Omniverse libraries to build simulation applications. The post says developers direct AI agents to assemble assets, connect physics and rendering, and verify scene behavior, supporting work such as exploring scenarios, investigating failures and improving designs.