FalkorDB CEO Guy Korland will demonstrate how to power agentic workflows with a knowledge graph for n8n and LangGraph/LangChain, addressing the fragmented data problem by combining documents, APIs, an…
Data Science, GenAI, and Agentic AI are the three skill layers professionals need to master by 2026, according to Data Science Practitioner and AI Educator Revati Pawar. Pawar warns that knowing Pytho…
A research team conducted a systematic AI security audit across 10 major AI frameworks, uncovering 24 distinct vulnerability patterns affecting production LLM systems. Their MCP penetration testing re…
A developer who ships AI agents weekly compares three approaches to building agent stacks in 2026: plain loops, LangGraph, and custom frameworks. For simple linear agents with fewer than five tools, a…
Handoffs in multi-agent systems can multiply token usage by 15x compared to a single-agent chat, according to Anthropic's June 2025 research. The company reported that multi-agent systems used about 1…
A developer evolved a local RAG assistant into an agentic AI architecture using LangGraph, adding a classifier that routes questions to specialized agents for procedural queries, error code lookup, or…
A developer discovered that AI assistants reflexively offer praise like 'That's a great idea!' during conversations, which undermines critical feedback. By separating conversation structure from analy…
Graph engineering is emerging as a solution to the growing problem of AI-generated code that is locally plausible but globally incorrect, according to a new analysis. LangChain recently described cons…
A developer warns that the term 'agent' is being diluted, causing real engineering mistakes, and argues that most real agent deployments are narrow, purpose-built pipelines. The developer defines an a…
LangChain, LangGraph, LangSmith, Langflow, and other 'Lang' tools are often confused. A developer's guide clarifies the ecosystem: langchain-core is the foundation, langchain offers batteries-included…
A developer's hands-on comparison of AI agent frameworks finds LangGraph best for production due to its precise state machine, despite a steep learning curve, while CrewAI and AutoGen are better suite…
A 2026 analysis identifies five foundational papers—ReAct, Toolformer, Reflexion, Voyager, and an unnamed framework paper—that underpin every modern AI agent architecture, tracing the tool-calling loo…
Amazon Web Services (AWS) demonstrates a market surveillance agent combining LangGraph for macro-level workflow orchestration and Strands for intelligent agent reasoning, deployed on Amazon Bedrock Ag…
Mutagent, an AI engineer that reads traces, diagnoses failures, and ships fixes on a loop, launched today in research preview as a free tool. The company reports that running it on an AI recruiting co…
Agent infrastructure startup Diagrid Inc. released Catalyst 2.0, a managed workflow engine update that adds automatic failure recovery and cryptographic verification to AI agents built on frameworks i…
A developer compares Temporal and Diagrid Catalyst for durable execution in long-running AI research agents, focusing on recovery from failures rather than AI frameworks. Temporal offers a mature work…
A developer proposes an operational definition of an 'agent' as a serializable class/instance split, stress-tested against the 2026-07-28 MCP spec. The definition separates static agent definitions fr…
LangGraph's MapReduce pattern, implemented via Send, enables dynamic parallel processing for LLM workflows, as demonstrated in a book recommendation pipeline where the number of recommendation steps i…
Mutagent, an AI engineer that reads traces, finds failures, and ships fixes on a loop, is now live in research preview and free to try. In production tests, it reduced an AI recruiting company's month…
A developer has built Agentic Ledger, an open-source transparent proxy that records all LLM calls from AI agents without requiring code changes. The tool provides real cost accounting, loop detection,…