经 AI Skill Hub 精选评估,星空态势感知 获评「强烈推荐」。这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
星空态势感知 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
星空态势感知 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:npm 全局安装 npm install -g satlas # 方式二:npx 直接运行(无需安装) npx satlas --help # 方式三:项目依赖安装 npm install satlas # 方式四:从源码运行 git clone https://github.com/PremaanshVyas/satlas cd satlas npm install npm start
# 命令行使用
satlas --help
# 基本用法
satlas [options] <input>
# Node.js 代码中使用
const satlas = require('satlas');
const result = await satlas.run(options);
console.log(result);
# satlas 配置说明 # 查看配置选项 satlas --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export SATLAS_CONFIG="/path/to/config.yml"
Real-time space situational awareness, with an AI agent at the front door.
A live, open platform that lets anyone explore what's happening in Earth orbit — every tracked satellite, rocket body, and piece of debris, visualised in 3D and queryable in plain English.
Live demo: satlas.app · (also getsatlas.vercel.app) Open the site — 30,000+ tracked objects orbit Earth in real time across their actual altitudes (LEO, MEO, GEO shells visually distinct), fetched from the US Space Force catalog and propagated in a web worker. A real-time cloud layer drapes the globe; a star field from NASA's Gaia DR2 catalog fills the background. Ask: "When does the ISS pass over Melbourne tonight?" — it does real orbital mechanics to answer. Ask: "Show me where the ISS is right now" — it answers and flies the 3D globe camera to the ISS, pulsing it three times. Ask: "Show all Starlink satellites" — it highlights every Starlink dot in violet while dimming everything else. Ask: "How many GPS satellites are tracked?" — reads the live count from the globe, no tool call needed. Ask: "What satellites are overhead right now from Sydney?"_ — it queries the catalog and tells you. Hover any dot for name + altitude. Click to select (multiple selections supported) — see the info card with live lat/lon/altitude/velocity, orbital parameters, and satellite metadata (owner, launch date, launch site). Hit "Ask AI" to query it. Category filter pills toggle entire groups on/off. Cloud layer and Debris toggles in the top-right. Enable the Borders toggle to switch to map mode — country fills, graticule, and country name labels appear; click any country to see which satellites are overhead right now. Open the Pass Prediction panel from any satellite info card — enter or geolocate your position; see every visible pass in the next 24 hours with times, max elevation, and approach direction. The agent remembers conversation context — follow-up questions work. API docs at satlas.app/docs — curl-ready examples for every endpoint. Status: V1 live — custom domain (satlas.app), HTTPS on ALB, ECS Fargate + S3/CloudFront/RDS all deployed, pass prediction for any location, satellite metadata (owner/launch date/site) from Space-Track, public API docs.
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git clone https://github.com/PremaanshVyas/satlas.git
cd satlas
npm install # root deps (Anthropic SDK, satellite.js)
cd apps/web && npm install # frontend deps
npm install -g vercel
高质量的AI工作流项目,实时空间态势感知
该工具未明确声明开源协议,商业使用前请联系原作者确认授权范围,避免侵权风险。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
AI Skill Hub 点评:星空态势感知 的核心功能完整,质量优秀。对于自动化工程师和运维人员来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | satlas |
| 原始描述 | 开源AI工作流:Real-time space situational awareness, with an AI agent at the front door.。⭐14 · TypeScript |
| Topics | AI空间态势实时感知 |
| GitHub | https://github.com/PremaanshVyas/satlas |
| 语言 | TypeScript |
收录时间:2026-05-25 · 更新时间:2026-05-26 · License:未公布 · AI Skill Hub 不对第三方内容的准确性作法律背书。
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