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。
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Awesome Prompt Engineering 🧙♂️ A hand-curated collection of resources for Prompt Engineering and Context Engineering — covering papers, tools, models, APIs, benchmarks, courses, and communities for working with Large Language Models. https://promptslab.github.io 🚀 Start Here New to prompt engineering? Follow this path: Learn the basics → ChatGPT Prompt Engineering for Developers (free, 90 min) Read the guide → Prompt Engineering Guide by DAIR.AI (open-source, comprehensive) Study provider docs → OpenAI Prompt Engineering Guide · Anthropic Prompt Engineering Guide Understand where the field is heading → Anthropic: Effective Context Engineering for AI Agents Read the research → The Prompt Re…
README该方案基于GPU加速的参考架构,可帮助开发者构建具备实时验证警报、可视化问答及自动报告功能的视频分析系统,整合了视觉语言模型、大语言模型、RAG技术及NIMs相关能力。
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NVIDIA推出的视频搜索与摘要生成AI架构方案
该方案基于GPU加速的参考架构,可帮助开发者构建具备实时验证警报、可视化问答及自动报告功能的视频分析系统,整合了视觉语言模型、大语言模型、RAG技术及NIMs相关能力。
- C++编程能力
- AI框架应用能力
- 开源项目开发经验
- 学习该方案的架构设计思路
- 尝试基于其框架开发简单的视频分析功能
- 调研相关技术组件的适配性
现有开源开发工具难以满足AI开发团队的自动化协作需求,缺乏对开发流程的统一调度、任务状态跟踪及知识记忆功能,亟需一款可集成Discord控制、Linear任务管理并具备认知记忆能力的专用工具。
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基于Claude Code的自主AI开发团队协调工具OpenSwarm
现有开源开发工具难以满足AI开发团队的自动化协作需求,缺乏对开发流程的统一调度、任务状态跟踪及知识记忆功能,亟需一款可集成Discord控制、Linear任务管理并具备认知记忆能力的专用工具。
- TypeScript开发能力
- 开源工具开发经验
- AI开发流程理解
- 研究OpenSwarm的功能设计及实现方案
- 分析同类工具的市场竞争情况
- 评估该产品的商业化落地路径
- 项目处于早期阶段,缺乏明确的商业变现规划
- 开源社区活跃度较低,迭代速度不确定
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蒸留蔵 — distill-kura A long-term memory for agents that is distilled, not accumulated. Recall works by meaning, writing is gated by evidence, and one server can hold several separate memories — one per agent mode — so switching mode switches what the agent remembers. Ships as a DeepSeek Harness plugin, an MCP server for any other host, an HTTP service, and a Python library. Standard library only; no vector database, no embeddings, no framework. Why this exists Two failures kill an agent's long-term memory, and they kill it from opposite sides. Retrieval by keyword misses the thing you needed. A question about "SSD inference chips" shares no word with a memory titled "running the 2.6T model of…
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cuVSLAM: CUDA-Accelerated Visual Odometry and Mapping Latest release | ArXiv paper | Python API | C++ API | ROS2 Overview cuVSLAM is the library by NVIDIA, providing various Visual Tracking Camera modes and Simultaneous Localization and Mapping (SLAM) capabilities. Leveraging CUDA acceleration and a rich set of features, cuVSLAM delivers highly accurate, computationally efficient, real-time performance. cuVSLAM works out of the box. All internal algorithms use carefully engineered defaults or adapt automatically to the environment and motion profile — no parameter tuning is required or expected. To get started, provide two things: accurate camera calibration (intrinsics and extrinsics) and…
README