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AI News

17,308 stories from 2868 sources · 1175 in the last 24 hours · refreshed hourly. Every story links to the original publisher.

Today's AI news from trusted publishers and official AI lab blogs, refreshed about every 30 minutes.

News today: 1,758Last updated:
  1. Why We're Moving n8n's Automation Team Beyond the Service Desk Modeln8n · toolsRomina da Costa, head of internal AI and automation at n8n, shares the four principles her team uses to help every team build and own its automations.
  2. AI Agent Memory: How LLM Agents Manage State in Productionn8n · toolsLearn how AI agent memory works, explore short-term and long-term memory architectures, and discover how to combine n8n and Cognee to build AI workflows that retain context, share knowledge, and learn across sessions.
  3. Hallucination Detection Methods for AI Agent Workflowsn8n · toolsLearn practical hallucination detection methods for AI workflows. See how your team can identify unreliable outputs before they spread.
  4. Stateful vs. Stateless: Managing Context in AI Agent Buildsn8n · toolsStateful versus stateless design changes how systems scale and remember context. Learn when to use memory nodes, state stores, or both.
  5. Self-Hosted LLM vs. Cloud APIs: How to Route Between Themn8n · toolsA self-hosted LLM isn’t always cheaper than an API. Learn when on-prem wins, what your hardware can run, and how to route between local and cloud models.
  6. Run your n8n AI workflows on NVIDIA DGX Spark, with no cloud APIn8n · toolsMost small businesses want the same handful of AI jobs. They want to draft emails, summarize calls, read invoices, search their own documents, and make the odd image. Plenty of them can t send customer data to a cloud API to do it. Often the reason is data privacy
  7. 12 Best Enterprise Workflow Automation Platformsn8n · toolsCompare the top enterprise workflow automation platforms for technical teams. See how each tool handles control, scale, and AI workflows.
  8. Build n8n workflows with Gemini 4 Argon: MCP, the Assistant, and Agentsn8n · toolsGemini 4 Argon just dropped, and n8n is one of the first companies to use and integrate the model. Check out how you can use it with your existing n8n workflows and how to build new ones. Here are the benchmarks Google published: Benchmarks reported by Google. Source: Gemini 4
  9. Build a morning AI news brief with You.com, Jev, and n8nn8n · toolsEvery weekday at 8am, this workflow searches the day's AI news, scores every article for materiality at about $0.00004 apiece, and posts one cited brief per topic to Slack. Topics with no real news get no post.
  10. 11 Best DevOps Automation Tools for Engineering Teamsn8n · toolsCompare 11 DevOps automation tools for modern engineering teams. Learn how to choose the right platforms for each layer of your stack.
  11. IT Automation Software: 6 Tools for Different IT Jobsn8n · toolsThe best IT automation software depends on what you’re automating. Here’s where six popular tools fit and what each brings to your IT stack.
  12. How API Contract Testing Prevents Production Failuresn8n · toolsAPI contract testing helps you catch breaking changes before they disrupt your workflows. See how n8n validates API responses while your automations run.
  13. iPaaS vs. API Management: What Engineers Choose When Both Fall Shortn8n · toolsCompare iPaaS versus API management tools. See why engineering teams that need execution control, self-hosting, and code-level extensibility reach for n8n.
  14. When to Use an LLM Knowledge Graph or a Vector RAGn8n · toolsAn LLM knowledge graph and vector RAG ground models differently. See when to use each, how to build a knowledge graph from text, and how to run both smoothly.
  15. You can now top up your n8n Assistant creditsn8n · toolsOn n8n Cloud, you can now buy extra Assistant credits when you run out - manually or with auto top-up. Here's how it works.
  16. Introducing n8n Agentsn8n · toolsn8n now has a new type of Agent. Describe what an agent should do, choose a model, the tools and workflows it can use, and it's ready to go!
  17. Prompt Testing Frameworks for Production AI Workflowsn8n · toolsStill guessing if your prompts work? Learn how to build a systematic prompt testing framework that catches regressions before they reach production.
  18. Reducing AI Workflow Latency: Patterns That Actually Workn8n · toolsLearn how to reduce AI workflow latency with production patterns for latency optimization: model routing, caching, parallel execution, timeouts, and budgets.
  19. How the Transactional Outbox Pattern Guarantees Event Deliveryn8n · toolsLearn how the transactional outbox pattern prevents dual writes and enables reliable event publishing for scalable event-driven architectures.
  20. API Rate Limiting for More Reliable Workflowsn8n · toolsAPI rate limiting doesn't have to mean failed workflows. Learn how limits work and how to handle 429s with retries, batching, and smart pacing.
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