Boxlang ai : a dynamic jvm approach to ai agents

If you missed our live BoxLang AI session, the full recording is now available — and it’s packed with everything you need to start building production-grade AI applications on the JVM.

What’s In the Session

Ortus Solutions CEO Luis Majano walks you through BoxLang AI from first principles to live, working code.

Agenda:

• 00:00 — Introduction & Announcements
• 03:07 — Phase 1: Core AI Concepts
• 19:10 — Phase 2: Introduction to BoxLang AI
• 31:47 — Live Coding Demos
• 1:05:59 — Conclusion & Q&A

What is BoxLang AI?

BoxLang AI is a modular, production-ready AI and agent framework built on BoxLang. It’s built for real-world systems — not demos — giving you full control over models, memory, and execution.

Key capabilities:

• 🔌 14+ LLM providers — OpenAI, Azure, Anthropic, local models, and more — managed through a single unified API
• 🧠 Agent orchestration — build autonomous agents and multi-step workflows
• 🧩 Pluggable memory & vector stores — advanced RAG capabilities with providers like JVector, Weaviate, and Qdrant
• 🛠️ Tooling & function calling — extend agents with custom tools for business automation
• 🌊 Streaming & structured outputs — multimodal orchestration with clean, predictable responses
• ⚙️ Vendor-agnostic architecture — swap providers without rewriting your application

What is BoxLang

BoxLang is a modern, dynamic JVM language built for productivity, performance, and flexibility. It runs natively on the JVM, supports both scripting and compiled execution, and integrates seamlessly with Java libraries. BoxLang powers applications across web, serverless, CLI, testing, desktop, and now — AI and agent systems.

Get Started

Stay Connected

Follow BoxLang for updates on AI, agents, and JVM-powered innovation:

• X (Twitter): @TryBoxLang
• LinkedIn: Ortus Solutions
• Facebook: tryboxlang
• Threads: @ortussolutions
• GitHub: ortus-boxlang

Like, subscribe, and follow BoxLang to stay up to date on the future of AI development on the JVM.