Episode 6 - Orchestration Context, Pipelines & Agents

Описание: Scale your AI orchestration using BoxLang AI Pipelines and Autonomous Agents. This video covers context injection, data transformers, and scheduling AI tasks using the BoxLang Scheduler.

Content Highlights:
Context Injection: Augmenting prompts with serialized customer data.
AI Pipelines: Creating fluent chains and custom data transformers.
Building Autonomous Agents with multi-memory and reasoning loops.
Agent Scheduling: Automating enterprise tasks with the BoxLang Scheduler.

🌐 AI Platform & Library: https://ai.boxlang.io
📘 Documentation: https://ai.ortusbooks.com
🐙 Source Code: https://github.com/ortus-boxlang/bx-ai

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🚀 What is BoxLang?

BoxLang is a modern, dynamic JVM language built for productivity, performance, and flexibility.

It runs natively on the JVM, supports scripting and compiled execution, integrates seamlessly with Java libraries, and powers applications across:

🌐 Web
☁️ Serverless
🧪 Testing
🖥️ CLI
🧠 AI & Agent systems
🖱️ Desktop applications

BoxLang is designed to let developers move fast—without sacrificing structure, performance, or control.

🌍 Learn more: https://www.boxlang.io
🐙 GitHub: https://github.com/ortus-boxlang/BoxLang

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🔗 Resources & Community

🧠 BoxLang AI Library: https://ai.boxlang.io
📘 BoxLang AI Docs: https://ai.ortusbooks.com
🌍 BoxLang Main Site: https://www.boxlang.io
❌ X (Twitter): https://x.com/TryBoxLang
🐙 GitHub: https://github.com/ortus-boxlang/BoxLang
📦 bx-ai Repo: https://github.com/ortus-boxlang/bx-ai
📘 Facebook:   / tryboxlang  
💼 LinkedIn:   / 103849045  
🧵 Threads: https://www.threads.com/@ortussolutions

👍 Like, subscribe, and follow BoxLang to stay up to date on AI, agents, and JVM-powered innovation.