Jul 28, 2026

From building agent infrastructure to building agents

Most agent projects turn into full platform builds long before a single agent ships. Here's the trade-off, and why handing the operational layer to a managed platform pays off for most teams.

Yonatan Dvir |

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Software Engineer

TL;DR

Agent projects turn into infrastructure projects fast. Managed agent platforms handle memory, integrations, scheduling, and scaling so builders can focus on the agent itself.

The repo tells the real story

Open the repo behind almost any "agent system" and the pattern repeats: prompts/, tools/, skills/, and memory/ sit next to tests/, Dockerfile, deployment/, logging/, and retry/. The agent logic, the part that actually reasons and acts, is a small slice of the codebase. Everything else is infrastructure.

What are managed agent platforms

A managed agent platform runs that infrastructure for you. Builders still define the model, the prompts, the tools, and the triggers. The platform runs the execution loop, persists state, manages authentication and secrets, schedules the workload, and scales it across teams.

That's different from building agents on raw infrastructure, where each of those pieces gets built and maintained by the team shipping the agent.

Instead of spending time on the infrastructure behind an agent, builders can put that time into the agent itself.

The trade-off

Choosing a managed agent platform means giving up direct control over specifics: exact retry semantics, memory schema design, and precisely where data lives. That control has real value for teams with unusual compliance requirements or highly custom failure handling.

In exchange, builders get an operational layer they don't have to write, secure, or maintain. Memory, scheduling, observability, and scaling come with the platform. Instead of spending time building and maintaining that layer, builders spend time building the agent.

Where this is heading

Agents are moving from single scripts to systems: dozens of them, coordinating, sharing memory, running on schedules, deployed across teams. That shift makes the operational layer harder to skip. The infrastructure work that felt optional for one agent becomes unavoidable at that scale.

Managed agent platforms exist for exactly this shift. They're becoming the default way to run agents in production.

The agent is the interesting part. The infrastructure around it doesn't have to be.

Manage your agents with Aiven

Aiven is building managed agents (watch demo). Join the early access at aiven.io/managed-agents.