“Agents don’t want heavyweight infrastructure that lives forever, they want primitives they can spin up, use, and discard as part of their work. Neon fits that model perfectly: it behaves the way agents actually think about state”

(Rick Blalock, Co-founder at Agentuity)

Existing cloud infrastructure is built around the software model developers have used for years: you deploy an app, expose an API, and your infrastructure exists to serve those requests as efficiently as possible. 

When AI agents are the ones building though, things work differently.

The three infra roadblocks agents keep hitting

Agents don’t exclusively fit execution models built around short-lived requests.They reason, iterate, pause, resume – they run for seconds or minutes or hours at a time – they manage context, spawn other agents, adapt their behavior as they go… As soon as human teams try using agents to build anything beyond a simple demo, they start running into the friction points you’d expect from infrastructure that was never designed for autonomous AI.

Agents don’t fit request–response infrastructure

Most cloud platforms are optimized for short execution windows. When an agent hits a hard timeout (for example, 30 seconds), execution is cut off and developers are forced to rethink their architecture. Any agent system built around long-running reasoning loops, background tasks, or stateful workflows doesn’t map cleanly to the serverless tooling offered by most commercial clouds today.

Multi-agent systems are hard to wire securely

The moment you introduce more than one agent, things get even more finicky. Agents need to communicate with each other, sometimes within the same system, sometimes across environments, and they need secure networking, authentication, and coordination. With current cloud tooling, this usually means stitching together networking rules, service discovery, and security layers by hand.

Developers end up over-architecting instead of letting agents build

Developers are used to thinking in terms of apps, services, and APIs, while agents operate on tasks. What agents actually need to thrive are primitives they can use directly: a database to manage state, storage for intermediate results, a sandbox to execute code, and tools they can spin up, use, and discard. Instead, they inherit frameworks and infrastructure designed around an older model, and end up being constrained by the assumptions and preconceptions of the human overseeing the process.

A cloud designed for agentic systems from first principles

Instead of forcing agents into app-centric infrastructure, we need a cloud where agents can run, coordinate, and manage state naturally without fighting the underlying platform. This is what Agentuity is building: a new developer cloud designed specifically for agentic software.

Instead of adapting existing infrastructure to support agents, this new platform treats agents as the organizing unit of the system and designs its primitives around how agents actually run, communicate, and manage state: 

Long-running execution without artificial limits

Agents in Agentuity can run for minutes or hours, pause and resume work, and wait on external signals without being cut off. There’s no need to break workflows into awkward chains of callbacks or fall back to VMs just to keep agents alive. Execution lifecycles are designed to match how agents actually reason and operate, not how HTTP requests behave.

Agent-native communication and coordination

Secure agent-to-agent communication is a first-class capability of the platform. Agents can hand off work, collaborate, and share context without developers having to manually configure networking, service discovery, or authentication.

Direct access to core infrastructure primitives

Agentuity exposes infrastructure as primitives agents can use directly. Compute, storage, and databases are available as tools that agents can create, interact with, and clean up as part of a task’s natural flow. Agents can manage state, persist intermediate results, and execute code without relying on long-lived, manually managed infrastructure.

A familiar developer experience on top

From the outside, Agentuity still looks like a standard developer platform. Developers work with code, SDKs, APIs, and a web console. The difference is in what those tools are optimized for – tasks and autonomy rather than apps and endpoints. The familiar surface area makes it easy to adopt, while the underlying model is purpose-built for agentic systems.

Neon as an agent-native database primitive

“Neon turns a database into something an agent can actually use. Spin it up, load data, reason over it, shut it down when the task is done. That’s exactly how agents want to work” (Rick Blalock, Co-founder at Agentuity)

Once agents become the organizing unit of the system, databases stop looking like long-lived infrastructure and start behaving like tools. Neon’s model aligns with how agents think about state: databases are fast to create, affordable to operate, and flexible enough to be ephemeral or long-lived depending on the workload. 

In Agentuity, databases are treated as task-level tools, not permanent systems:

Databases as working memory for agents

• Agents can create Postgres databases on demand as part of their execution flow
• Databases can exist for minutes, hours, or indefinitely, depending on what the agent needs
• State is isolated per task or per agent, avoiding shared, long-lived infrastructure
• Cleanup happens automatically when the task completes

An example: 

• An agent working on research starts with a large CSV file containing raw data
• Instead of trying to hold everything in memory or repeatedly re-process the file, the agent spins up a Neon database, loads the CSV, and uses SQL to query, segment, and enrich the data as it reasons through the problem
• Once the task is complete, the agent shuts the database down, without long-lived resources left behind

Provisioning databases programmatically via Neon’s API

Neon’s mature API-first model is also critical at the platform level. Agentuity exposes databases as one of its built-in primitives, meaning they are provisioned programmatically on behalf of users and agents, without requiring credentials or manual setup of any kind. Provisioning and teardown are fast enough in Neon to be part of normal agent workflows.

The future is now

Agentic software is pushing past the limits of app-centric infrastructure. Platforms like Agentuity are rebuilding the cloud from first principles so agents can run, coordinate, and manage state the way they naturally work. Try it out for free.