Launched this week
AgenticX AI Labs
Enterprise RAG, autonomous agents & production AI books.
10 followers
Enterprise RAG, autonomous agents & production AI books.
10 followers
AgenticX bridges the gap between shallow AI demos and production-grade Architecture. Unlike generic prompt libraries, we deliver full enterprise RAG frameworks, autonomous multi-agent orchestration (LangGraph/MCP), and expert ebooks containing the exact production code needed to deploy scalable, model-agnostic AI with measurable business ROI
honestly the langgraph and MCP stuff looks solid, but a sandbox env where i can spin up the multi-agent setup without messing with my local python install would be a game changer. maybe like a one-click docker compose or hosted trial tier, basically something to test the orchestration before committing
@kenanvfap Thanks Kenan — that's a sharp suggestion, and honestly one of the most-requested things. A one-click docker compose starter to spin up a multi-agent LangGraph setup (no local Python mess) is exactly the kind of "try before you commit" experience we want to ship. It's now high on our roadmap. In the meantime, the LangGraph patterns in Claude Code Mastery + our free tools are a good starting point — and I'd love your input on what the ideal sandbox would include. 🙏
It would be great to see a sandbox or starter repo where you can spin up one of the RAG frameworks locally with sample data already wired in, so teams can quickly evaluate fit before committing to the ebook purchase.
@ayencelr3o1 Love this, Ayşe — a starter repo with sample data already wired in, so teams can run a RAG framework locally and judge fit in 5 minutes, is a fantastic idea. We're planning a free open-source starter exactly for this. Would you prefer it as a GitHub repo, a hosted trial, or both? Your feedback will directly shape it.
the langgraph and mcp integration looks seriously well thought out, like you can tell they actually stress tested this in real production environments rather than just throwing together a fancy demo
@ayfersayhan Thank you, Ayfer — that's exactly the reputation we're going for. Everything we publish comes from real production work, not demo-ware. 🙌 If you build anything with it, I'd genuinely love to hear how it goes.
finally got my hands on proper LangGraph examples instead of the toy stuff everywhere else, and the RAG framework code actually runs cleanly in our staging env.
@cemresgnj Really appreciate this, Cemre 🙏 "No toy examples" is our whole philosophy — production-grade or it doesn't ship. Thanks for the support on launch day!