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Source channel @githubtrending · Post #15005 · Jul 28

#other#ai_agents#genai You can explore a large collection of AI agent projects and use cases across many industries like healthcare, finance, education, customer service, and more. These AI agents automate tasks such as medical diagnosis, stock trading, personalized tutoring, customer support, product recommendations, and supply chain optimization. The projects include open-source code and frameworks like CrewAI, Autogen, Agno, and Langgraph, which help build, manage, and collaborate AI agents for tasks like coding, multi-agent teamwork, data analysis, and workflow automation. Using these resources can save you time, improve efficiency, and inspire you to create AI solutions tailored to your needs. https://github.com/ashishpatel26/500-AI-Agents-Projects

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@githubtrending · Post #14653 · 05/01/2025, 12:30 PM

#other#english#notebook This English grammar guide breaks down complex rules into easy-to-understand parts, helping programmers and learners improve their skills through clear explanations and practical methods like using apps (e.g., Baicizhan) and textbooks (e.g., New Concept English). By focusing on essential grammar basics first, it builds a strong foundation for better reading, writing, and communication, making learning more efficient and effective. Access it online or locally, and benefit from structured lessons that simplify mastering English. https://github.com/hzpt-inet-club/english-note

Machinelearning

@ai_machinelearning_big_data · Post #7968 · 07/07/2025, 04:44 PM

🧠 MCP сервер для баз данных от Google Он выступает прослойкой между вашим агентом (например, LangChain, LlamaIndex, VertexAI) и базой данных, упрощая работу с базой, подключение, управление, безопасность и мониторинг., Подходит для разработки AI-агентов, которые могут создавать и управлять в реальными БД. Особенности: ✔️ Подключение к БД за < 10 строк Python ✔️ Встроенный pooling и аутентификация ✔️ Простая интеграция в агентов (LangChain, Autogen, и т.д.) ✔️100% open-source ✔️Поддержка разных БД: PostgreSQL, MySQL, SQLite, SQL Server, AlloyDB, Cloud SQL, Spanner, BigQuery, Bigtable, Couchbase, Dgraph, Redis, Neo4j и др. ✔️Удобная конфигурация : простой синтаксис YAML для описания функций и запросов. Если делаете агентов, которые работают с SQL/PostgreSQL/MySQL — точно стоит попробовать. ▪GitHub: https://github.com/googleapis/genai-toolbox @ai_machinelearning_big_data #AI#ML#aiagent#opensource#MCP#databases#genai

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