This update delivers crucial bug fixes for a smoother smart home experience. Philips Hue MotionAware sensors now properly detect motion once again, and any leftover broken switch entities from old Hue automations are automatically removed. The feedreader integration correctly fires events even when your feeds aren’t sorted, and media players will now give you a […]
The latest release of llama.cpp, build b10227, introduces a specialized parser for the Qwen3 model family, enhancing how the chat interface handles tagged thinking tools. This update refactors internal chat processing and adds a permute helper, streamlining the codebase for future expansions. Self-hosted users will benefit from more accurate tool calling, as the update adds
llama.cpp Build b10227 Brings Qwen3 Parser and Improved Tool Calling Support Read More »
The latest release of Zigbee2MQTT marks the end of Node.js 20 support, aligning with its end-of-life status. Self-hosted users running on bare metal should now upgrade to Node.js 24 or 26 to continue receiving updates. This version also introduces a handy clear_cache option when removing devices, making it easier to fully purge old device data
Zigbee2MQTT Update Delivers 51 New Devices and Drops Node.js 20 Support Read More »
The latest llama.cpp release, build b10217, enables tool calling during the thinking phase for DeepSeek (DS4) models in chat mode. This enhancement allows the model to seamlessly invoke external tools while it is still reasoning, producing more coherent and effective multi-step interactions. For self-hosted users running DeepSeek, this means smarter assistant behavior and improved reliability
Llama.cpp Build b10217 Introduces Tool Calling in Thinking Mode for DeepSeek (DS4) Read More »
Home Assistant Core has released a fresh set of updates, focusing on squashing bugs and refining existing integrations. The frontend sees a bump to version 20260729.3, incorporating the latest minor enhancements and fixes. Several notable bugs have been addressed: Music Assistant now correctly returns results when searching within a specific artist and no longer mistakenly
Home Assistant Core Rolls Out New Bug Fixes and Integration Updates Read More »
This Traefik release addresses several important issues that self-hosted users will appreciate. The ACME certificate management library has been updated to ensure smoother Let’s Encrypt integrations, and a subtle bug causing authentication middleware to fail under concurrent requests has been fixed, preventing random 401 errors. For teams running Traefik with Kubernetes, two long-standing problems are
Traefik Release: Key Bug Fixes and Security Updates for Self-Hosted Setups Read More »
Security researchers have uncovered multiple vulnerabilities in Google Chrome, with the most critical ones potentially allowing attackers to execute arbitrary code. If these severe flaws are successfully exploited, malicious actors could run code within the context of the logged on user. Depending on the user’s privilege level, an attacker could then install programs; view, change,
Critical Google Chrome Flaws Could Enable Arbitrary Code Execution Read More »
The latest n8n patch, version 2.33.3, addresses a couple of key issues that improve security and workflow reliability for self-hosted users. This release fixes a problem with the security audit feature where risk reporters were not imported with the correct file extension. With this fix, security audits run as expected, helping administrators more easily spot
n8n 2.33.3 Patch: Security Audit Fix and MCP Workflow Reliability Read More »
The langchain-core library has been updated to version 1.5.3, delivering a small but crucial fix for self-hosted users. A previous issue could cause gateway authentication failures when an API key wasn’t explicitly configured in certain environments. This release patches that behavior by automatically falling back to the LANGSMITH_API_KEY environment variable, ensuring seamless connectivity and reducing
LangChain Core 1.5.3 Fixes Gateway Authentication Fallback Read More »
New Feature: SYCL q2_0 Mul_Mat The latest build of llama.cpp, version b10203, introduces support for the q2_0 quantization scheme in the matrix multiplication (mul_mat) operation when using the SYCL backend. This enables efficient inference with 2-bit quantized models on Intel GPUs and other SYCL-compatible hardware, reducing memory footprint and potentially boosting throughput. Both the basic
llama.cpp Build b10203 Adds SYCL q2_0 Mul_Mat Support and Wide Platform Binaries Read More »
