Open source agent deployment
Deploy open source AI agents without an in-house infra team
Installing an open source agent takes minutes. Running it safely on your data takes hosting, sandboxing, access control, monitoring and updates. AY Automate does that part, so you get the agent without hiring an infra team.
Free 30-min call. No pitch, no slides.
AY Automate deploys and runs open source agents from $3K a month as an ongoing partnership, cancel anytime, with a 90-day replacement guarantee.
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Quick answer
AY Automate deploys and runs open source AI agents for companies without in-house infrastructure: hosting in a cloud account the client owns, sandboxing, scoped access to tools and data, monitoring and updates, from $3K a month. AY Automate deploys and runs open source agents from $3K a month as an ongoing partnership, cancel anytime, with a 90-day replacement guarantee.
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What it is
What it takes to run an open source agent in production
Open source agent frameworks are free to download, and a demo runs on a laptop the same day. The work starts when the agent needs to touch real systems: a server to run on, secrets kept out of the code, a sandbox so the agent cannot reach what it should not, logs of what it did and someone to update it when the framework or a model changes.
AY Automate sets that up and runs it. The agent is hosted in a cloud account you own, with scoped credentials for each tool, a sandbox around its actions and human approval on anything risky. We monitor it, fix failures and keep the framework and models current.
For OpenClaw specifically, our enterprise setup adds NemoClaw for sandboxed execution, policy as code and private inference. For workflow-style automation, we build, self-host and maintain n8n.
Comparing options before you commit? Best open source AI agents in 2026.
Fit check
Is this the right fit?
Where this wins
Teams with an agent demo and no one to run it
The demo moved onto proper hosting with access control and monitoring.
Companies that want to own their stack
Open source agents in your own cloud account, not a vendor's platform.
Data that cannot leave your environment
Private hosting and private inference where the data requires it.
When NOT to use this
- A hosted product already does the job and reaches your data. Buy it.
- You have an infra team with capacity. They can run it, and we can review the setup.
- You need the agent for a one-off task. Hosting it permanently is not worth it.
How it works
How a deployment runs
We start from the agent you want to run, or pick one with you.
- 01
Audit
Day 1The agent, the systems it needs and the data rules it has to follow.
DeliverableDeployment plan
- 02
Set up hosting
Hosting, secrets and sandbox in your cloud account.
DeliverableRunning environment
- 03
Connect tools
Scoped access to each tool, tested on real cases.
DeliverableConnected agent in a sandbox
- 04
Go live with review
A person approves risky actions until the agent proves itself.
DeliverableLive agent and log
- 05
Run it
Monitoring, fixes and updates as the framework and models change.
DeliverableMaintained agent
Typical timeline
First agent set up in hours after the audit; locked-down enterprise setups typically four to eight weeks
Stack we build with
n8n · Docker · TypeScript · Python · PostgreSQL · Claude · OpenAI · MCP
Already have an agent demo?
Bring it. We tell you what it needs to run safely on your data.
Use cases
What teams deploy
Internal operations agents
Agents that read documents and update internal tools.
Database agents with permissions
Each person sees and reports only on what they may access.
Self-hosted n8n with AI steps
Workflows you own outright, with AI where a rule cannot decide.
Scope
Scope and exclusions
In scope
- Hosting in a cloud account you own
- Sandboxing and scoped credentials per tool
- Human approval on risky actions
- Logging, monitoring and alerts
- Framework and model updates
Not in scope
- Cloud and model provider bills, which you pay directly
- Forking or maintaining the open source project itself
- Agents with unrestricted access to your systems
Results
Agents running on client data
Achieved results only. Clients that have not agreed to be named are described instead.
The whole database became an agent anyone can talk to, with each person seeing and generating reports only for what they are allowed to touch.
A product-catalog agent delivered that the receiving team rated superb, followed by a pricing agent and a document bot.
Pricing
How this is priced
One price to start. No project scope and no fixed term.
Monthly partnership
From $3K a month
An engineer on your account, the first system in production, monitoring and maintenance on everything we ship. Cancel anytime, with a 90-day replacement guarantee.
Next step
Deploy your open source agent
Book a free audit call and leave with the hosting, access and monitoring plan.
Book a free audit callFree 30-min call. No pitch, no slides.
Free automation audit
Find what to automate first, and how AI sees you
We read your homepage, detect your tools, and check your Google rankings and AI Overview. You get a score out of 100. Add a work email to unlock automation opportunities matched to your stack.
Use Claude Code, Cursor or Codex? Paste this into your agent
Fetch https://www.ayautomate.com/SKILL.md and follow it: read my repo or website, pick the 2 to 3 manual loops worth automating first, and give me the booking link.
Run the agent without the infra hire
A free 30 minute audit call. Tell us which agent you want to run, and leave with a deployment plan.
Book a 30min Free Strategy Call
In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.
Don't want a call? Email walid@ayautomate.com
“The team is super fast - sometimes we had to slow them down. We managed to scale the company without investing into hiring.”
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COO, Adstronaut.io
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This call is for teams ready to move. If that's you, pick a time.
Recommended services
OpenClaw Enterprise Setup
OpenClaw locked down with NemoClaw: sandboxing, policy as code, private inference.
n8n Automation Agency
We build, self-host and maintain n8n workflows you own outright.
Enterprise AI Agents
Agents with permissions, audit trails and human approval built in.
AI Agent Development
Custom AI agents built on your systems, with a free architecture audit first.
FAQ
Open source agent deployment questions
How can we deploy open source AI agents without in-house infrastructure?+
AY Automate deploys and runs them for you. The agent is hosted in a cloud account you own, sandboxed, given scoped access to your tools and monitored, and we keep the framework and models updated. You get the agent without hiring an infra team.
How much does it cost?+
AY Automate deploys and runs open source agents from $3K a month as an ongoing partnership, cancel anytime, with a 90-day replacement guarantee. Cloud hosting and model usage are billed directly by the providers.
Where does the agent run?+
In a cloud account you own, so the agent, its logs and its data stay yours. Where data cannot leave your environment, we use private inference.
Can you deploy OpenClaw?+
Yes. Our OpenClaw enterprise setup adds NemoClaw for sandboxed execution, policy as code and private inference.
What happens when the open source project changes?+
We test updates before applying them and keep the agent on a version that works, then move it forward once the new version passes on your cases.
Still have a question? Ask it on a call.
Book a free 30-min call