n8n@1.123.94
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.
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OpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.
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MemoAIMusic & audioMemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.
分类推荐榜首AAssemblyAI is a speech AI platform for developers, offering pre-recorded, real-time, and short-form synchronous transcription APIs. It enables the building of voice-based applications by integrating capabilities such as speaker identification, emotion analysis, chapter and summary extraction, as well as speech agent functionality, dictation, and sensitive information processing.
待评分 · 分类列表推荐FCLIENT-ORIENTED AI SMART BODY。
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待评分 · 分类列表推荐MMeta's free AI chat assistant
待评分 · 分类列表推荐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.
Article URL: https://github.com/eltmon/overdeck/releases/tag/v0.74.0 Comments URL: https://news.ycombinator.com/item?id=50450704 Points: 1 # Comments: 0
The update addresses CUDA out of memory errors by reducing the VMM pool reservation size to 8 GB on GPUs with combined memory, halving the reservation size and retrying on failure only when encountering CUDA_ERROR_OUT_OF_MEMORY, while also logging a warning when the reservation is less than the maximum size.
The latest release of llama.cpp (b12259) adds support for Kimi K3.1 Vision, includes fixes for preprocessing and projector MLP in both K2.5 and K3.1 models, and features minor renaming changes. The release provides precompiled binaries for multiple platforms including macOS, Linux, Windows, Android, and openEuler, with support for various backends such as CUDA, Vulkan, ROCm, OpenVINO, SYCL, and Snapdragon-specific hardware.
ComfyUI v0.45.0 introduces multiple updates including new partner nodes for Pika, Tencent, Kling, OpenAI, Qwen, Gemini, Grok, Breeze, and ByteDance; performance enhancements for Qwen 3.x; bug fixes for crashes, database issues, and VAE selection errors; improved memory management with adaptive slice lengths; support for new models like Seedance 2.5, Seedream 5.5, and MiniMax-H3-image; added video input for Qwen 3.x, solid mode in mesh extraction, and texture rebaking; updated workflow templates to v0.11.105 and API documentation; default activation of local_web_sso and partner_node_token; and contributions from new developer GACLove.
The update introduces graceful failure handling for unreachable RPC endpoints and failed handshakes in ggml-rpc, replacing fatal aborts with reportable errors. Functions now return appropriate values (e.g., false, nullptr) on connection failures, allowing host applications to handle issues without crashing. A regression test was added for unreachable endpoints, and low-value comments were removed. Mid-stream failures remain unchanged to prevent silent corruption.
On Qualcomm Adreno GPUs, scalar flash attention was limited to 8 rows per workgroup when head size exceeds 128 to prevent register spilling and performance degradation. This change improved performance significantly, reducing execution time from several seconds to milliseconds and enabling completion of the test-backend-ops case.
The n8n 1.123.93 update addresses a bug in the core system by limiting the number of resume attempts for waiting and queued executions, improving stability and preventing potential infinite retry loops.
The n8n 3.2.0 release introduces several bug fixes addressing issues in AI Builder, core functionality, editor UI, and node-specific behaviors, including improved handling of JSON, XML, CSV, and YAML responses, enhanced security through expanded IP blocking, and better error reporting. New features include support for Microsoft Work IQ OAuth2 credentials, a new App bindings UI, and updated default Assistant models. The release also reverts some previous changes due to compatibility or stability concerns.
The n8n 2.48.0 release addresses multiple bugs, including fixes for AI builder, compression node, core functionality, editor improvements, and RabbitMQ node issues. New features include enhanced assistant models, Microsoft Work IQ OAuth2 credential support, app bindings UI, migration report enhancements, and improved user experience elements like chat message unification and credential modal restrictions.
A fix was implemented to ensure the OpenAI-compatible chat completions endpoint correctly processes JSON schema when provided at the top level in response_format.schema, rather than requiring it to be nested within response_format.json_schema.schema. The update also improves error messages, documents the correct usage in the README, and adds test cases to verify behavior, resolving issue #10732.
The Metal kernel for ggml_tri has been updated to use a select operation instead of scaling by comparison, aligning its behavior with the CPU kernel. This change ensures that values outside the triangle are set to zero rather than becoming NaN when encountering ±inf. A new test, test_tri_special, validates this fix across all four triangle types, confirming it passes with the update but failed previously.
The n8n 2.46.7 update addresses a bug related to excessive resume attempts for waiting and queued executions within the core system, improving stability and reliability.
The n8n 2.47.3 update addresses a bug allowing only workflow editors to own migration findings, improves scheduled task cleanup by retiring stale tasks in batches, and adds the ability to open migration reports directly from notification emails.
Open WebUI v0.13.3 introduces agent-based automations with terminal and folder persistence, allows changing terminals and folders mid-chat, adds Brazilian Portuguese translations, and fixes issues including incorrect file tab behavior, agent visibility in model pickers, clipboard functionality over HTTP, DeepSeek reasoning mode compatibility, tool call labeling consistency, knowledge search punctuation handling, and Docker image build reliability.
The llama.cpp release b12193 includes a change to move log-mel computation to the cgraph, removes stray files, updates mtmd_audio_track to include source, and adds tests. It provides precompiled binaries for macOS, Linux, Windows, Android, and openEuler across various architectures and backends including CUDA, Vulkan, ROCm, OpenVINO, SYCL, and Snapdragon-specific platforms.
The latest release of llama.cpp adds support for the MageVL-Cowork model and adjusts how rope frequencies are handled, now stored at the model level within clip_model instead of being copied into each clip_layer. The loader verifies that rope_freqs is a 32-bit floating-point array with dimensions matching d_head, ensuring compatibility with expected 4:6:6 splits in the computational graph.
The latest update to llama.cpp introduces enhanced MoE (Mixture of Experts) cache functionality, enabling computation of cache misses on the CPU with a configurable CPU share. A new tuning script, moe-cache-tune.py, automatically determines optimal cache size and CPU share settings based on system performance. The update also improves scheduling efficiency, removes redundant sync operations, and refactors code for better maintainability, while maintaining compatibility across multiple platforms including macOS, Linux, Windows, and Android.
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