One of the fastest ways for LangChain agents to become unstable in production is not model...
One of the fastest ways for LangChain agents to become unstable in production is not model quality.
It’s recursive tool loops.
A workflow starts normally:
search
retrieve
aws.amazon.com·Break the context window barrier with Amazon Bedrock AgentCore | Amazon Web Services
aws.amazon.com·Build highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore | Amazon Web Services
Managing context in long-run agentic applications
Add a Specialized Deep Research Skill to Agent Harnesses | NVIDIA Technical Blog
Why your AI agent gets stuck calling the same tool 47 times in a row, and three concrete patterns to break the loop in production.
Autonomous coding agents love getting stuck in tool-use loops. Here's why it happens and four concrete fixes that stop the…
Stop runaway LLM agent loops with hard iteration caps, tool-call deduplication, embedding-based loop detection, and…
I built a static analysis tool that audits LangChain agents for excess tool permissions before they ship. Here's what it found on…
TL;DR: Four high-profile AI agent failures (OpenClaw's inbox speedrun, Meta's Sev-1 forum incident,...
aws.amazon.comIn this post, you will learn how to implement Recursive Language Models (RLM) using Amazon Bedrock AgentCore Code Interpreter and…
aws.amazon.com