LangSmith BYOC on AWS is generally available
LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.
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Promptim: an experimental library for prompt optimization
Automate prompt engineering with Promptim's optimization library. Save time, improve AI performance, and switch models faster.
What Is Eval-Driven Development? How to Improve AI Agents
Eval-driven development helps you build AI agents against a consistent set of metrics. Define good behavior, write the eval first, then compare experiments.
How to Build Proactive, Always-On Agents with the Schedules SDK in Managed Deep Agents
Most proactive agents run on a simple cron. Learn what scheduled runs unlock, from memory to smart triage, and how to add them to Managed Deep Agents.
How to build evidence-grounded agent memory with OpenWiki and Graphs
LangChain used OpenWiki, its open-source wiki compiler, and an evidence graph to build a persistent memory layer that preserves knowledge for agents to reuse across tasks. Learn how.
Bayer Crop Science has built the multi-agent decision-making engine ADE based on Amazon Bedrock AgentCore.
Bayer Crop Science has built the Agentic Decision Engine (ADE) on Amazon Bedrock AgentCore—a natural-language multi-agent platform for breeding experts, analysts, and researchers—as an enhancement layer rather than a replacement for its existing Connected Decision Engine (CDE). The system is now live in production, serving over 100 R&D users and enabling approximately 80% of issues to be resolved independently through 22 domain-specific agents and about 20 API tools.
Deep Insight: How AWS’s Open-Source Multi-Agent System Addresses Five Major Production-Grade Challenges
AWS Solutions Architecture Team has launched Deep Insight, an open-source multi-agent system designed for automated CSV data analysis and natural-language report generation. It systematically addresses five common challenges in production environments—agent orchestration, role-based model selection, stable operation, secure code execution, and observability—and has been validated in real-world scenarios such as LG Electronics and the re:Invent 2025 TechRecon.