BoxLang AI Deep Dive — Part 7 of 7: MCP — The Protocol That Connects Everything
BoxLang AI 3.0 Series · Part 7 of 7 The AI ecosystem has a tool problem. Every framework has its own way of defining tools, every agent has …

Cristobal Escobar
1,660 viewsBoxLang AI 3.0 Series · Part 7 of 7 The AI ecosystem has a tool problem. Every framework has its own way of defining tools, every agent has …

Matteo Rossi
1,275 viewsThis is the first article in a three-part series. Part 2 covers short-term and long-term memory; Part 3 introduces stateful workflow …

Cristobal Escobar
1,546 viewsBoxLang AI 3.0 Series · Part 6 of 7 A chatbot with no memory isn't a conversation — it's a series of isolated queries. Every message starts …

Cristobal Escobar
1,838 viewsBoxLang AI 3.0 Series · Part 5 of 7 Vendor lock-in is the silent killer of AI projects. You pick OpenAI, build everything against the OpenAI …

Mahendra Rao B
832 viewsExplore how to integrate AgentCore Memory in the Spring AI SDK with Amazon Bedrock. Learn how to add short-term to AI agents for improved …

Farhan Hasin Chowdhury
1,448 viewsRecommendation engines have a reputation for requiring specialized ML infrastructure: matrix factorization pipelines, training jobs, and …

Cristobal Escobar
1,212 viewsBoxLang AI 3.0 Series · Part 4 of 7 Here's the question every team eventually asks about their AI agents: how do we test these things? …

Cristobal Escobar
1,908 viewsBoxLang AI 3.0 Series · Part 3 of 7 A single agent is useful. An orchestra of agents is powerful. The problem with most multi-agent …

Mahendra Rao B
1,500 viewsLearn how to use Spring AI SDK with the Amazon Bedrock AgentCore to build scalable AI-powered applications.

Cristobal Escobar
1,218 viewsBoxLang AI 3.0 Series · Part 2 of 7 Function calling is where most AI frameworks look deceptively simple on the surface and turn into a mess …