🚨 GitHub 监控消息提醒 🚨发现关键词：#漏洞#检测#分析 📦项目名称：Open-Audit 👤项目作者：elegent-administrator 🛠开发语言： Python ⭐Star数量： 0 | 🍴Fork数量： 0 📅更新时间： 2026-05-16 03:56:40 📝项目描述： Open Audit是面向企业研发、开发者群体的AI智能明文代码安全审计工具，基于Python语言开发、FastCGI架构搭建，融合Semgrep工具链与自主研发的AI Agent，精准匹配数字时代代码安全审计的市场核心需求。工具直击行业传统审计工具误报率高、扩展能力弱、无法检测逻辑漏洞三大痛点，通过AI Agent深度分析漏洞代码上下文实现误报过滤，开放标准化接口支持企业自定义扩展漏洞检测方向，依托Agent的逻辑推理能力突破常规工具技术瓶颈，实现逻辑漏洞精准审计，同时完成跨平台适配，为中小微企业、互联网研发团队、个人开发者提供高效、可定制、高精准的代码安全审计解决方案，全方位筑牢代码研发安全防线。 🔗点击访问项目地址
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@R4marketing · Post #806 · 2021/08/13 08:00
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@testflightynoti · Post #37780 · 2026/05/07 20:30
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@testflightynoti · Post #37748 · 2026/05/07 08:21
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@githubtrending · Post #15433 · 2026/01/23 14:30
#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles. https://github.com/OpenBMB/UltraRAG