NVIDIA released SkillSpector, a tool that scans AI skills for security risks using static analysis and SARIF reports. The tool evaluates skills through a LangGraph workflow, organizes findings with pa…
RootSign, a new SDK that produces cryptographic audit logs for CrewAI and LangGraph agents, was released on GitHub. The tool adds a SHA-256 hash chain to every tool call to detect log tampering, addre…
A developer has published a step-by-step guide for building a LangGraph-based customer support agent called ShopBot, which uses memory patterns, human-in-the-loop approval, and real tools to handle e-…
Amazon Bedrock AgentCore, generally available since late 2025, enables developers to deploy AI agents in four commands using any framework and model, handling operational infrastructure like session m…
Researchers formalized and verified four concurrency anomalies in multi-agent LLM systems, establishing a machine-checked consistency hierarchy from L0 to L4. They implemented verified detectors and r…
LangChain agents built on LangGraph use a tool-calling loop until a final answer is returned. The high-level createAgent function accepts a model, tools defined with tool(), and an optional system pro…
A developer built an AI workforce for insurance using n8n, OpenAI, LangGraph, and Supabase. The system comprises multiple specialized agents that handle discovery, research, policy comparison, recomme…
A developer built tracesage, an open-source local-first observability tool for LangChain and LangGraph agents. It hooks into LangChain's callback stream to capture events, stores them locally, and ren…
Agent orchestration spans three distinct layers—expression, runtime, and observability—that are often conflated in debates about multi-agent systems. A June 2025 clash between Cognition's 'Don't Build…
Multi-agent orchestration, where multiple AI agents collaborate on complex tasks, introduces significant operational challenges beyond single-agent systems. A developer explains that while frameworks …
LangGraph developers often struggle with code organization despite understanding the library's concepts. A new standardized architecture guide introduces the SIDE framework (State, Instructions, Decis…
A new open-source project called SAMF introduces machine-readable validation contracts for LLMs, translating MoSCoW prioritization into deterministic guardrails for multi-agent loops. The tool aims to…
Researchers reformulated the autoresearch pattern as a stateful ReAct agent using LangGraph, achieving 90% fewer tokens on hyperparameter tuning and 52% fewer on code optimization compared to stateles…
OpenAI's 'Practical Guide to Building Agents' has sparked a debate with LangChain CEO Harrison Chase, who called it 'misguided' and published a detailed rebuttal. The conflict highlights a core tensio…
LangChain.js provides a standardized framework for building LLM applications in TypeScript and Node.js, enabling developers to compose prompts, models, tools, and retrievers into reusable pipelines an…
An engineer built a LangChain agent that reads an inbox, summarizes threads, and drafts replies, but faced production issues with OAuth and privacy. The solution uses Nylas Agent Accounts to create a …
A production Agentic RAG system encountered five failure modes—latency cliffs, memory drift, reflection loops, injection attempts, and evaluation overhead—that architecture diagrams failed to predict.…
A developer identified a critical failure mode in the Model Context Protocol (MCP) where agents log success despite tasks never executing. The issue occurs when MCP servers return null results inside …
Researchers at HKUST have identified a new denial-of-service attack against LLM safety layers, called reasoning-extension DoS, where crafted inputs cause guardrails to enter infinite reasoning loops. …
Agent frameworks like LangGraph, Google ADK, and Mastra advertise durable execution through checkpointing, but their state-snapshot approach only recovers to the last boundary, not the exact failing s…