Arbaz | AI Agent DeveloperBuilding AI Agents but feel alone? 🤔
Join AI AGENTS HUB — a Discord community for:
🧠 LLM & AI lovers
🐍 Python coders
🤖 Agent builders
✅ Friendly community
✅ Share ideas
✅ Get help & feedback
Free to join 👇
https://discord.gg/FJNEAQdU8K
🤖 Most businesses are losing 20+ hours/week on repetitive tasks.
I build custom AI Agents that automate:
✅ Lead qualification
✅ Customer support
✅ Data processing
✅ Report generation
Built with LangGraph + RAG — production-ready.
💼 Starting at $20 | First agent FREE for startups
✅ Refund guarantee
DM me or reply below 👇
#AI #Automation #StartupLife #AIAgents #LangChain #Python #Freelancer
Cost-efficiency is everything in production AI! I build custom agents with LangGraph + RAG — affordable alternatives to expensive platforms, starting $20 💼 #AI #LangChain
AI chatbots for government services — this is exactly the kind of use case where custom RAG pipelines shine! Document Q&A + persistent memory = powerful civic tech 🤖 #AIAgents #LangChain
Most developers overcomplicate AI agents.
My production stack 👇
🔀 LangGraph — agent flow control
🔍 RAG + Pinecone — searches your docs
🐍 FastMCP — runs Python code live
🧠 PostgreSQL — persistent memory
✅ Open source | Starting $20
🔗 github.com/Pokemon455/langgraph-multi-agent
Need a custom AI Agent? DM me 💼
Rost GlukhovExplore the top Python libraries for AI workflow automation in 2026, including n8n, Vellum AI, and Make. Learn how to integrate AI models, implement RAG, and build scalable, secure workflows for content creation, lead scoring, and data enrichment.
#n8n #Vellum AI #Make #AI workflow automation #RAG #LangChain #Python #AI agents #enterprise automation #AI integration
https://dasroot.net/posts/2026/02/top-python-libraries-ai-workflow-automation-2026/
Top Python Libraries for AI Workflow Automation in 2026
Explore the top Python libraries for AI workflow automation in 2026, including n8n, Vellum AI, and Make. Learn how to integrate AI models, implement RAG, and build scalable, secure workflows for content creation, lead scoring, and data enrichment.
Thomas Vitale ☀️In this new article, I explain how to integrate your Spring AI application with LangSmith for observability, supported by OpenTelemetry and Arconia.
https://www.thomasvitale.com/spring-ai-observability-langsmith-arconia/
HabrАнатомия ИИ-трейдера: Как создать своего автономного ИИ-агента и зарабатывать на бирже
ИИ может торговать на бирже в плюс — и мы это проверили в ходе эксперимента на 6 моделях. Разбираем автономного ИИ-трейдера по косточкам — архитектура, инструменты, результаты запусков и готовый код. Запустите своего агента торговать на виртуальный капитал 3 млн рублей на «Финам Арене» уже сегодня — лучшим денежные призы.
https://habr.com/ru/companies/finam_broker/articles/1036574/
#ai #aiагент #трейдинговый_бот #алготрейдинг #трейдинг #trade_api #искусственный_интеллект #python #langgraph #langchain
JAVAPRODein #LLM vergisst nach jeder Frage den Kontext? Jean-Claude Brantschen zeigt, wie #LangChain Chat-History, Tools und parallele Chains sauber verbindet.
Lies den Artikel, wenn du aus Prompts echte LLM-Workflows bauen willst: https://javapro.io/de/langchain-2/
#OpenSource #Python @LangChain
Agentenlog.deLangSmith rückt Agenten-Betrieb näher an Software-Lifecycle
LangChain bündelt LangSmith-Funktionen für Kontext, Observability, Runtime und Governance.
https://agentenlog.de/posts/2026-05-15-langsmith-agenten-lifecycle-interrupt
