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n8n releases

n8n@3.0.0

# [3.0.0](https://github.com/n8n-io/n8n/compare/n8n@2.45.0...n8n@3.0.0) (2026-10-27) ### Bug Fixes * Add file-type tooltip to artifact download button ([#41490](https://github.com/n8n-io/n8n/issues/41490)) ([4a74f02](https://github.com/n8n-io/n8n/commit/4a74f027e612f31098b354dd3a77b2c2ab98281c)) * **ai-builder:** Check execution:read in Assistant execution reads ([#41863](https://github.com/n8n-io/n8n/issues/41863)) ([a967486](https://github.com/n8n-io/n8n/commit/a9674866d075e989a5ce896432262c9a7dc8b0c7)) * **ai-builder:** Send Assistant model calls through the configured AI transport ([#41948](https://github.com/n8n-io/n8n/issues/41948)) ([9b63561](https://github.com/n8n-io/n8n/commit/9b63561cbb48f06d216f27be3b77722d97e4e74a)) * Allow custom OAuth2 scopes ([#41249](https://github.com/n8n-

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n8n releases

n8n@2.46.0

# [2.46.0](https://github.com/n8n-io/n8n/compare/n8n@2.45.0...n8n@2.46.0) (2026-10-27) ### Bug Fixes * Add file-type tooltip to artifact download button ([#41490](https://github.com/n8n-io/n8n/issues/41490)) ([4a74f02](https://github.com/n8n-io/n8n/commit/4a74f027e612f31098b354dd3a77b2c2ab98281c)) * **ai-builder:** Check execution:read in Assistant execution reads ([#41863](https://github.com/n8n-io/n8n/issues/41863)) ([a967486](https://github.com/n8n-io/n8n/commit/a9674866d075e989a5ce896432262c9a7dc8b0c7)) * **ai-builder:** Send Assistant model calls through the configured AI transport ([#41948](https://github.com/n8n-io/n8n/issues/41948)) ([9b63561](https://github.com/n8n-io/n8n/commit/9b63561cbb48f06d216f27be3b77722d97e4e74a)) * Allow custom OAuth2 scopes ([#41249](https://github.com/n8

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n8n releases

beta

## [2.45.4](https://github.com/n8n-io/n8n/compare/n8n@2.45.3...n8n@2.45.4) (2026-10-26) ### Bug Fixes * **core:** Recreate removed n8n-sandbox sandboxes and rerun workspace setup ([#41919](https://github.com/n8n-io/n8n/issues/41919)) ([11e279a](https://github.com/n8n-io/n8n/commit/11e279a51d497f8d96f5f9f90bb314dda4f6a49e)) * **core:** Start sub-workflow error workflow when a pre-run check fails ([#41977](https://github.com/n8n-io/n8n/issues/41977)) ([9595142](https://github.com/n8n-io/n8n/commit/95951428c765f3f0b1da9f341a6ab8c75673385a)) * **editor:** Match navigation plus button hover styling ([#41910](https://github.com/n8n-io/n8n/issues/41910)) ([471c006](https://github.com/n8n-io/n8n/commit/471c006fdd46091659f3e1d28d989702049489f0)) * **editor:** Point migration report docs link to the

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n8n releases

n8n@2.45.4

## [2.45.4](https://github.com/n8n-io/n8n/compare/n8n@2.45.3...n8n@2.45.4) (2026-10-26) ### Bug Fixes * **core:** Recreate removed n8n-sandbox sandboxes and rerun workspace setup ([#41919](https://github.com/n8n-io/n8n/issues/41919)) ([11e279a](https://github.com/n8n-io/n8n/commit/11e279a51d497f8d96f5f9f90bb314dda4f6a49e)) * **core:** Start sub-workflow error workflow when a pre-run check fails ([#41977](https://github.com/n8n-io/n8n/issues/41977)) ([9595142](https://github.com/n8n-io/n8n/commit/95951428c765f3f0b1da9f341a6ab8c75673385a)) * **editor:** Match navigation plus button hover styling ([#41910](https://github.com/n8n-io/n8n/issues/41910)) ([471c006](https://github.com/n8n-io/n8n/commit/471c006fdd46091659f3e1d28d989702049489f0)) * **editor:** Point migration report docs link to the

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n8n releases

stable

## [2.44.7](https://github.com/n8n-io/n8n/compare/n8n@2.44.6...n8n@2.44.7) (2026-10-26) ### Bug Fixes * **core:** Start sub-workflow error workflow when a pre-run check fails ([#41978](https://github.com/n8n-io/n8n/issues/41978)) ([67d0e65](https://github.com/n8n-io/n8n/commit/67d0e65f5d5d01d49b1d14ea2c26a6b803bf058b)) * **Email Trigger (IMAP) Node:** Back off reconnects when the server drops each new connection ([#41927](https://github.com/n8n-io/n8n/issues/41927)) ([10a9518](https://github.com/n8n-io/n8n/commit/10a9518f0d9d470e619b500383b5b76fc1870662)) * **Microsoft SharePoint Node:** Fix the column mapper 403 and empty items in Map Automatically ([#41906](https://github.com/n8n-io/n8n/issues/41906)) ([e67d278](https://github.com/n8n-io/n8n/commit/e67d278ef0ae3c15493e74813ecce972e384ff1

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n8n releases

n8n@2.44.7

## [2.44.7](https://github.com/n8n-io/n8n/compare/n8n@2.44.6...n8n@2.44.7) (2026-10-26) ### Bug Fixes * **core:** Start sub-workflow error workflow when a pre-run check fails ([#41978](https://github.com/n8n-io/n8n/issues/41978)) ([67d0e65](https://github.com/n8n-io/n8n/commit/67d0e65f5d5d01d49b1d14ea2c26a6b803bf058b)) * **Email Trigger (IMAP) Node:** Back off reconnects when the server drops each new connection ([#41927](https://github.com/n8n-io/n8n/issues/41927)) ([10a9518](https://github.com/n8n-io/n8n/commit/10a9518f0d9d470e619b500383b5b76fc1870662)) * **Microsoft SharePoint Node:** Fix the column mapper 403 and empty items in Map Automatically ([#41906](https://github.com/n8n-io/n8n/issues/41906)) ([e67d278](https://github.com/n8n-io/n8n/commit/e67d278ef0ae3c15493e74813ecce972e384ff1

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n8n 官方博客

A Multi-Layered Approach to AI Agent Hallucination Detection: A Practical Framework for Production Environments

This paper systematically categorizes four typical types of hallucinations exhibited by AI agents in real-world workflows—factual, contextual, fictional, and self-contradictory—and proposes that detection should rely on a multi-dimensional approach, incorporating credibility checks, source verification, self-consistency assessment, semantic entropy analysis, and human–machine collaboration thresholds, rather than on a single scoring metric. It underscores that such detection must be embedded within the workflow’s closed loop and deeply integrated with observability, error handling, and human review pathways.

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n8n 官方博客

Self-Hosted Large Models vs. Cloud APIs: How to Route Requests Intelligently

This article compares the trade-offs between self-hosted large language models and cloud APIs in terms of data privacy, cost, latency, and capabilities. It outlines the hardware requirements (such as VRAM and quantization) for open-source deployable models, discusses typical technology stacks, and uses n8n as an example to demonstrate how to build hybrid routing workflows that dynamically distribute requests between on-premises and cloud-based models based on task sensitivity, complexity, or compliance requirements.

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n8n 官方博客

API Versioning Strategy: Ensuring Workflow Integration Stability

This article compares four mainstream API versioning strategies—URI, HTTP headers, dates, and query parameters—analyzing their differences in readability, cache compatibility, and debugging convenience, and provides a detailed explanation of how to achieve a smooth migration by actively monitoring deprecation/sunset headers, response codes (such as 410 Gone), and n8n’s built-in workflow mechanisms.

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n8n 官方博客

Stateful vs Stateless: Context Management Strategies in AI Agent Development

This article explores the core differences between stateful and stateless architectures in AI agent systems, analyzes their practical impacts on scalability, fault tolerance, and contextual continuity, and uses the n8n platform as an example to demonstrate how to design memory nodes and state stores in a layered manner to achieve flexible, controllable state management.

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n8n 官方博客

n8n completes its 2026 brand refresh: a new logo, a new typeface, and an evolving pink primary color.

On October 14, 2026, at the In The Loop conference, n8n officially unveiled its brand refresh, featuring a new dynamic logo, a custom typeface that balances technological sophistication with humanistic appeal, and an optimized pink-based color scheme complemented by grayscale accent colors. These updates are designed to reflect its strategic positioning as it evolves from a workflow automation platform into a responsive system that supports agentic AI.

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n8n 官方博客

12 Enterprise-Grade Workflow Automation Platforms Compared: n8n, ServiceNow, Power Automate, and Others Selected

The n8n blog has published an in-depth guide comparing 12 mainstream enterprise-grade workflow automation platforms, focusing on five key dimensions: deployment models, integration capabilities, governance mechanisms, AI/agent support, and cost models. The guide underscores the core demands of technical teams regarding data sovereignty, multi-AI vendor switching, and code extensibility.

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