n8n@2.47.7
The n8n 2.47.7 update resolves a bug where executions using global credentials were incorrectly redacted, ensuring proper visibility of credential data in execution logs.
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待评分 · 分类列表推荐The n8n 2.47.7 update resolves a bug where executions using global credentials were incorrectly redacted, ensuring proper visibility of credential data in execution logs.
The n8n 2.48.4 update resolves a bug where executions using global credentials were incorrectly redacted, ensuring proper visibility of credential data in execution logs.
Bug fixes included in the n8n 3.2.2 release, published on November 13, 2026.
Cap public API requests per API key in n8n, with 429 headers that tell clients when to retry and idempotency keys for safe retries.
The n8n 1.123.96 update addresses a bug that made JSON highlight color invisible on light themes and includes an update to the @modelcontextprotocol/sdk.
The n8n 2.48.3 update addresses several bugs related to Redis caching, prompt caching, legacy data handling, and UI visibility, introduces a new feature to display Gateway credits promotions in the editor, and includes performance enhancements by optimizing character map inclusion and reducing per-item setup in the expression runtime.
The n8n 2.47.6 update includes bug fixes for Redis cache handling, prompt caching, legacy data reading, JSON highlighting, and Pinecone Vector Store integration. New features enable Gateway credits promotions to be displayed in the editor. Performance improvements focus on reducing runtime bundle size and optimizing expression evaluation.
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Release notes for n8n version 1.123.95, including a guided diff and auto-fix options via Cubic.
The n8n 2.48.2 update addresses several bugs, including rejecting edits to read-only credential nodes via the Public API, aligning animated node border corners in the editor, and ensuring agent tabs remain accessible for new drafts.
The n8n 2.47.5 update addresses a bug that allowed edits to read-only credential nodes via the Public API and fixes alignment issues with animated node borders in the editor.
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A bug fix in n8n version 1.123.94 ensures that retry backoff settings are preserved when a trigger fails immediately after being reactivated, improving reliability in workflow execution.
The n8n 2.48.1 update addresses several bugs, including issues with expression transfers after built-in replacements, matching bare node references across expression engines, optimizing font registration in the Edit Image Node, and widening the migration report notify owner column in the editor.
The n8n 2.47.4 update addresses several bugs, including maintaining expression transfers after built-in replacements, ensuring observational memory continues running after stopping a HITL card, matching bare node references across expression engines, optimizing font registration in the Edit Image Node, and widening the migration report notify owner column in the editor.
arXiv:2611.12933v1 Announce Type: new Abstract: Closed-loop autonomous experimentation can accelerate scientific discovery, but implementation effort limits accessibility. Agentic systems may lower this barrier, although sustained operation on physical instruments remains largely unexplored. Here, using coding-agent infrastructure grounded in validated scientific methods, we demonstrate autonomous synchrotron X-ray experiments on nanoparticle superlattices under evolving, human-defined objectives. Complete human-agent and agent-agent transcripts enable an audit that reconstructs decision provenance and characterizes the division of cognitive labor. Across three experiments, 61-67% of messages involved interpretation or judgment, while the share of methodological and scientific contributions increased from 46% in the setup-focused first experiment to 56-61% in later experiments. Provenance showed that 59-68% of error corrections involved multiple participants and that about half of all decisions incorporated the input of another participant. These results may guide design principles for multi-agent scientific systems and inform future agent harnesses, model training, and accessible autonomous experimentation.
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