Opportunity radar
海外机会工作台
把工作机会、创业线索、GitHub 趋势和模型工具发布压成一个可复核队列。先分层,再行动。
现有开源语言模型在相同算力预算下,智能密度较低,难以满足高复杂度任务处理需求。开发者希望找到能以更低资源成本实现更高性能的AI工具,用于提升开发效率。
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高效率Token型AI智能体OpenSquilla,同等预算下性能更优
现有开源语言模型在相同算力预算下,智能密度较低,难以满足高复杂度任务处理需求。开发者希望找到能以更低资源成本实现更高性能的AI工具,用于提升开发效率。
- Python开发能力
- 开源工具使用经验
- 评估产品功能是否符合自身开发需求
- 尝试产品试用并反馈使用体验
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slotstream Run a 105 GB AI model on a 48 GB Mac. Slotstream runs Qwen3.8-Flash-Next on your Mac by keeping most of the model on SSD and loading the parts it needs into memory. After a one-time download, the model works offline. No Python or cloud API account is required. Use it to chat, ask about pictures, or work with files through an agent such as Hermes. Developers can connect their own apps through its APIs or Swift library. Get started · Performance · Guides · Get help I'm building Sevra on Slotstream: private, personal AI optimized for your computer. Sevra will choose a tested model for your hardware and keep that choice current as models improve, with inference, memory and tools tune…
README企业开发自动化AI智能体时面临政策合规、身份安全、执行风险管控等难题,该工具包可提供策略强制执行、零信任身份认证、执行沙箱隔离及可靠性保障能力,覆盖OWASP Agentic Top 10全部10项风险点,可帮助企业降低智能体应用的安全与稳定性问题。
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面向AI智能体的治理工具包,助力企业规范自动化AI应用开发
企业开发自动化AI智能体时面临政策合规、身份安全、执行风险管控等难题,该工具包可提供策略强制执行、零信任身份认证、执行沙箱隔离及可靠性保障能力,覆盖OWASP Agentic Top 10全部10项风险点,可帮助企业降低智能体应用的安全与稳定性问题。
- Python编程能力
- 使用Python实现工具包的功能模块
- 针对企业实际业务场景测试工具包的合规性与稳定性
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OOMWOO Open-source robot vacuum you build yourself Clean well · Hackable · Raspberry Pi · 3D printed · Local / No cloud required · Home Assistant · Arduino · ROS2 · ESP32 OOMWOO is an open-source home robot vacuum you can build yourself, built using Raspberry Pi, 3D-printing, Home Assistant, Arduino and ROS2. It uses an affordable 2D LiDAR to map your home and navigate on its own. Local, no cloud required for regular functionality, no vendor lock-in. Follow us building in public Discord | X | Instagram | Facebook | Reddit | newsletter | YouTube | oomwoo.com | Tutorials Early build instructions will be available in Fall 2026. Reference design images - this is approximately how the finished d…
README