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Fresh intelligence
Introducing n8n 3.0
n8n 3.0 beta is out, focused on reliability, stability and security. Here’s what’s changing and how to get ready.
n8n 工作流自动化 · Published 10/27/2026, 19:53AI Agent Memory: How LLM Agents Manage State in Production
Learn 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.
n8n 工作流自动化 · Published 10/23/2026, 20:20Hallucination Detection Methods for AI Agent Workflows
AI agent hallucinations are hard to catch because they usually look like normal answers. An agent can invent a fact, misread retrieved context, or contradict itself without signaling that anything went wrong. Once that output triggers anoth
n8n 工作流自动化 · Published 10/23/2026, 01:21API Versioning Strategies for Stable Workflow Integrations
Compare API versioning strategies like URI, header, and date-based approaches, and learn how to handle a provider’s deprecation without breaking integration
n8n 工作流自动化 · Published 10/23/2026, 00:15Stateful vs. Stateless: Managing Context in AI Agent Builds
Stateful versus stateless design changes how systems scale and remember context. Learn when to use memory nodes, state stores, or both.
n8n 工作流自动化 · Published 10/22/2026, 23:44Self-Hosted LLM vs. Cloud APIs: How to Route Between Them
A 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.
n8n 工作流自动化 · Published 10/22/2026, 23:01
