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Self-hosted

Self-Hosted AI Agent Platform: Agents, Apps and Records on Infrastructure You Run

For IT heads and platform teams who run their own infrastructure and want AI agents and business apps inside it, not beside it.

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A platform engineer installing a unit into a server rack

A self-hosted AI agent platform puts the agents, the records they work on, and the controls around them on infrastructure you run. For some companies that is a policy requirement; for others it is about control over upgrades and costs.

Most agent tools are cloud services only. Self-hosting them usually means stitching together an open source framework, a database, an approval tool and a user directory yourself.

This page covers what that assembly costs, an illustrative example, and how Apragya runs as one platform on your own servers.

What a do-it-yourself agent stack costs

Many parts

Framework, database, queue, review tool and login stitched together.

A team to keep it running

Upgrades of each part break the others.

No business records

Agents still need an ERP or CRM to work on.

Controls to build

Audit, roles and review are left to you.

An example: a Vadodara specialty chemicals group

Take an illustrative group with its own data centre and a small platform team. It wanted agents for supplier bills and quality certificates, running on its own servers beside its finance and inventory records.

From licence to first agent

  1. Week 1

    Licence issued and release downloaded.

  2. Week 2

    Installed on the group's own servers.

  3. Week 3

    Single sign-on, roles and model keys set.

  4. Week 5

    Opening data migrated for finance and inventory.

  5. Week 7

    First agent live on supplier bills, with review.
The agent went live on records that were already on the same servers.

The platform team runs one system rather than five. Upgrades arrive as numbered releases the team schedules, and the first agent works on the same supplier bills the accounts team already processes.

A small server box with a robot on top beside tied bill sheets
The agent and the supplier bills it checks, on the same servers.

How on-premise AI agents run in Apragya

Step 1 of 5

Releases

Numbered releases with container images and an installer.

  1. Releases: Numbered releases with container images and an installer.
  2. Licence: A signed licence file checked on your server.
  3. Models: Your provider keys, or a self-hosted model endpoint where supported.
  4. Agents and workflows: Built, versioned and run inside your environment.
  5. Connections: Reach other internal systems through connectors.

Self hosted ERP with AI, or an agent framework?

An open source agent framework is flexible, but it is a library, not a product. You still need the business records, the review screens, the audit log and the user management. A self-hosted platform brings those with it.

Agent framework against Apragya self-hosted

FeatureOpen source agent frameworkApragya self-hosted
Business recordsBring your ownFinance, inventory, HR and more
Building agentsCodeDescribed in plain words
Human reviewBuild itBuilt in
Audit and rolesBuild itBuilt in, with single sign-on
UpgradesEach library separatelyNumbered platform releases

Checked against public information on 16 September 2026.

What sets Apragya apart as a private cloud AI platform

One platform

Apps, agents, workflows and records together.

Human review

Approve, reject, modify or escalate agent output.

Guardrails

Checks on agent input and output.

AI Credits

Usage metered per user, app and company.

Your branding

Your name, logo and colours on the platform.

Vibe Studio

Build your own apps on the same install.

Related: on-premise AI for regulated industries, the AI agent builder and how AI agents compare with SAP Business One.

Getting started

  1. Decide where the platform will run and who operates it.
  2. Size the servers with our team for your users and data.
  3. Plan identity, model keys and internal connections.
  4. Install, then migrate opening data at a period start.
  5. Launch one agent with review before adding more.

Treat the first release as a pilot; the second upgrade is when the team learns the routine.

What it costs to start

Enterprise
Custom plan
Private AI deployments, with VPC or on-premise options
INR 7,999
Pro, a month
Up to 25 users, every enterprise app and the agent builder
Free
Up to 3 users
CRM, HR and Vendor Onboarding, to try the platform

Self-hosted platform questions

Do we get the same features as the cloud?
Confirm the feature list for your release with our team; agents, apps, review and audit are part of the platform.
What skills does our team need?
A team that already runs servers, containers and a database is enough. Our team helps with sizing, the first install and the opening data migration, and each release comes with its own notes.
Can we reach systems in other locations?
Yes. Connectors reach systems your servers can see, and the Tenant Runner covers systems behind other firewalls.
How are upgrades delivered?
As numbered releases that your team installs on its own schedule.
Which models can we use?
Your own provider keys, or a self-hosted model endpoint for the features that support it.
Can we brand it as our own?
Yes. Name, logo and colours can be set for the platform.
What does it cost to start?
Private AI deployments come with the Enterprise plan, which is priced for your volume; talk to our sales team. Pro, at INR 7,999 a month for up to 25 users, includes every enterprise app and the no-code agent builder, and the free plan covers up to 3 users with CRM, HR and Vendor Onboarding.

Plan a self-hosted install with us

Tell us where it will run; we will size it and plan the first agent.

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