---
title: "Source-Available AI Agent Platform for AWS | Agentifiers"
description: "A multi-tenant, source-available AI agent platform: agents as code, approvals, durable workflows, traces, and audit logs. In your AWS account or hosted by us."
url: https://agentifiers.com/platform
---

The platform

# The platform is Deployments.ai: a source-available, multi-tenant AI agent platform. Run it in an AWS account in your AWS Organization, or use it hosted and managed by us in our AWS account.

Bring your own cloud

## It runs where your data already lives

You create a dedicated AWS account in your [AWS Organization](https://docs.aws.amazon.com/organizations/latest/userguide/orgs_introduction.html) and give us scoped access. We provision the platform there with [OpenTofu](https://opentofu.org). Agent runtime, workflow state, memory, traces, and audit logs stay in that account, under your [service control policies](https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps.html), your IAM policies, and your KMS keys. Agents reach your systems only through tools you allow, and reach models only through providers you approve. Read [how BYOC works for AI agents](https://agentifiers.com/byoc), or [how the platform compares with Amazon Bedrock AgentCore](https://agentifiers.com/compare/aws-bedrock-agentcore).

- Built on AWS services your team already knows: Lambda, ECS on Fargate, DynamoDB, S3, KMS, EventBridge, and SQS.
- Separate AWS accounts for dev and prod, with releases promoted between them.
- A model gateway with per-environment policies, using your own provider keys.
- Your OpenTofu state, your logs, and infrastructure on your consolidated AWS bill.

[How bring your own cloud works](https://agentifiers.com/byoc)

What's inside

## Everything agents need to do real work, safely

### Multi-tenant by design

Organizations, projects, and environments isolate each tenant's agents, data, and credentials, whether tenants are [your departments](https://agentifiers.com/internal-agents) or [your customers](https://agentifiers.com/product-agents).

### Agents as code

Agents, tools, and policies are defined in code and shipped as immutable, versioned releases, with canary rollout and promotion from dev to prod — or rollback.

### Human approvals

Mark any tool call as approval-required. The run pauses, asks the right person, and resumes on their answer. [Why we design approvals in](https://agentifiers.com/blog/human-in-the-loop-by-design).

### Durable workflows and memory

Long-running, resumable runs with schedules, so work survives restarts and can wait on people. Memory gives agents the context they need, scoped to their work.

### Tools and integrations

Connect systems through MCP servers, HTTP callbacks, and the integration catalog, plus sandboxed code with no network access.

### API, SDK, and CLI

Build on the platform through its public API, SDK, and CLI. Client-executed tools let agents call functions inside your own app.

### Traces and evaluations

Every run is traced step by step, with metrics. Evaluation suites gate each release before it reaches production.

### Governance and metering

Retention policies, tenant export, erasure, signed audit-log exports, and usage metering for each tenant.

### Channels

Agents meet people in Slack, in email from your domain, on Telegram and RCS business messaging, or inside your product through the API.

The platform is [Deployments.ai](https://deployments.ai). We also run it as a hosted, managed service in our AWS account. The platform's source release on GitHub is coming soon.

White-label

## Your brand, wherever your people meet an agent

A white-label agent platform runs under your brand instead of the vendor's: your name and domain, and agent identities your people recognize. For internal agents, we configure the platform under your name and domain as part of the engagement. Agents post in Slack with the names and icons you choose and send email from your domain. Putting the platform in front of your own customers under your brand is offered under a commercial license.

- Your name and domain
- Agent identities in Slack
- Agent email from your domain
- Agents inside your own product

Source available

## Public source, coming soon

The platform source is coming soon to the Agentifiers/deployments repository under the [Functional Source License](https://fsl.software) (FSL-1.1-ALv2), a [Fair Source](https://fair.io) license, and each release becomes Apache 2.0 two years after it is published. Once it's public, your engineers can read every line that touches your agents, extend it with your own tools, and run it for your own business without us.

- Readable, auditable code
- Extend with your own tools
- No single-vendor dependency
- Hand over to your team any time

Run it your way

## Self-hosted, set up for you, or hosted and managed by us

Self-host Deployments.ai for free for your own use once the source is released, have us [set it up in an AWS account](https://agentifiers.com/product-agents#options) in your AWS Organization, or use the hosted Deployments.ai service, which we run and manage in our AWS account with the same API. Billing is invoice only: we invoice our fees and hosted Deployments.ai access, while in your own AWS account AWS bills your infrastructure directly and model providers bill usage on your own keys. See [pricing](https://agentifiers.com/pricing) for each option.

- Self-hosted: free for your own use, coming soon
- Set up in your AWS account: fixed scope
- Hosted Deployments.ai: managed by us, no infrastructure to run
- Invoice billing, no infrastructure markup

* [Internal agents: we build AI agents for your workflows](https://agentifiers.com/internal-agents)
* [Agents in your product: build on the platform](https://agentifiers.com/product-agents)
* [Compare the platform with other options](https://agentifiers.com/compare)
* [How pricing works](https://agentifiers.com/pricing)

## See it running on your own work

Bring us a process that eats your team's week, or the agent feature you want to ship to your customers. We'll show you what it looks like on the platform, under your brand.

[Book a discovery call](https://agentifiers.com/contact)
