---
title: Standardization is what turns an emerging idea into a usable system.
type: post
date: 2025-12-15
source: linkedin
original_url: "https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7406235288362020864"
topics: ["ai"]
summary: "Standardization is what turns an emerging idea into a usable system. Agentic AI is moving fast. Agents can reason, plan, call tools, and coordinate with other agents. But beneath that progress sits a structural issue: each agent framework defines its own way…"
draft: false
---

Standardization is what turns an emerging idea into a usable system.

Agentic AI is moving fast. Agents can reason, plan, call tools, and coordinate with other agents. But beneath that progress sits a structural issue: each agent framework defines its own way of connecting to tools, exchanging context, and collaborating with other agents. Agents work well in isolation, but fragility appears at scale.

This is not new.

Before containerization, software was tightly bound to machines and environments. Docker standardized how applications are packaged. Kubernetes standardized how they are orchestrated. Together, they solved a systemic problem: build once, deploy anywhere.

Agentic AI is at a similar stage.  
Today, an agent is often inseparable from the framework it runs on, how tools are integrated, and assumptions about context and execution. Without shared contracts, portability breaks. Multi-agent systems become tightly coupled. Tool providers repeat the same integrations across ecosystems.

Standardization addresses this at three levels:  
1. Agent → Tool: a consistent way to invoke tools and access data.  
2. Agent → Agent: shared conventions for context, delegation, and results.  
3. Framework portability: innovation without locking agents into one runtime.

It is good to see the formation of the Agentic AI Foundation under the Linux Foundation, where leading players are coming together to address interoperability rather than solving it in silos.

From experience with the Green Software Foundation, one lesson stands out: collective intelligence and open collaboration consistently lead to more durable outcomes.

Standardization does not decide what agents do. That remains your business logic. It defines how they connect, communicate, and scale.

For more details, visit @ https://aaif.io/