v1.5.4 fixes contenteditable handling and adds wildcard support in `includeAttributes` for more flexible DOM attribute matching.
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andrej-karpathy-skills:技术项目简述
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claude-mem:技术项目简述
TypeScript - jamiepine/voicebox18,084 星标
voicebox:技术项目简述
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editor:技术项目简述
TypeScript - microsoft/markitdown109,385 星标
markitdown:技术项目简述
Python
技术动态流
Release v0.24.0 details are unavailable; the project remains a highly active open-source RAG and agentic AI platform with over 73K stars.
Desktop Nightly v2.2.0-nightly.202602220620 is an automated, unstable build from the main branch intended for testing only—back up data and avoid production use.
Version 1.4.0 adds support for the MiniMax-M2.5 model and fixes a startup error display bug in resumed conversations, alongside contributions from two new developers.
v1.3.32-vscode adds limited MCP App support, LM Studio agent-mode compatibility, CN-specific CLI checks, improved Windows remote terminal detection, security upgrades (axios, OpenAPI generator), React best-practice consolidation, and extensive documentation updates—including new getting-started guides, workflow docs, and AI checks best practices.
Release 1.14.0-rc1 introduces a new Agent x Skills experience featuring a sandboxed runtime, inline Skill Editor with @tool syntax, file upload and command execution in sandbox, dynamic variable assembly via 'Pull a Variable', and beta collaboration tools with shared editing and mentions—enabling rapid development of production-grade agentic workflows.
JeecgBoot v3.9.1 significantly upgrades its AI capabilities: LangChain4j updated to 1.9.1 with support for inference models, streaming, multi-session, and file parsing; Qwen model now allows parameter tuning and web search; adds multimodal features like text-to-image, image-to-image, and AI poster generation. AI applications evolve into intelligent agents with memory, variables, plugins, workflows, and MCP support. New AI workflow nodes include variables, loops, SQL, timers, and knowledge base writes. Chat2BI enables natural language to chart conversion across multiple data sources. The releas
LlamaFactory v0.9.4, titled 'Goodbye 2025', marks a major update with breaking changes: renamed from LLaMA-Factory to LlamaFactory, dropped Python 3.9–3.10 support (now requires 3.11–3.13), and migrated to uv for package management. Key additions include Orthogonal Fine-Tuning (OFT), Semantic Initialization for new tokens, Megatron-LM via MCoreAdapter, KTransformers backend, FP8 training, Transformers v5, DeepSpeed AutoTP, and efficient NPU kernels. Over 20 new models are supported, such as Qwen3 series, GLM-4.5V/4.6V, MiniCPM-V 4.0/4.5, InternVL-3.5, ERNIE-4.5, and Hunyuan-mt. The official bl