Set up OpenClaw Code agents on the Server (virtual)

Budget: 50 USD Deadline: 1 day

Hello, Dmitry!

I run OpenClaw on the server myself: several agents in parallel, cron jobs, browser automation. That's why I'm writing not from the documentation, but from my own experiences.

What I will do.

Server. The main expense here is not CPU, but RAM. Each agent, if it accesses the browser, consumes 1.5-2 GB. On a 1 GB VPS, everything will crash due to OOM within the first day. For several parallel agents, I usually take 4-8 GB of RAM and 2-4 vCPUs, NVMe, plus swap or zram for peaks. I will adjust it to your load. A regular VPS will suffice; you don't necessarily need special hosting for agents.

Environment. Node LTS, installation, auto-start via systemd, so it restarts itself after reboots and crashes. Logs and rotation, so the disk doesn't fill up within a month.

API. I will connect the key, set up the models. I store keys in a separate repository, not in shell history.

Parallelism. This is usually where everything breaks down. I assign profiles and ports to agents, set locks so that two do not fight over one browser and do not write to one file. Without this, agents quietly disrupt each other's work, and it takes weeks to catch it.

A question for the matter: how many agents do you plan to run simultaneously, and will they access the browser? The difference between "4 GB will be enough" and "16 GB is needed" is exactly in this. And secondly: subscription or API via tokens? The setup differs.

Regarding the budget, $50, as in the budget. I'm free today, work will take about a day.

I am ready to show live how several agents run on one server. I will send it in the chat, you can take a look before making a decision.

Petr Pankov, BotCraft Group Expand

Budget: 70 USD Deadline: 1 day

Hello. I am setting up exactly this — parallel AI code agents on a VPS.

I can help: choose a server for your load (CPU/RAM for the number of parallel agents), set up the environment (worker isolation, dependencies), connect API keys, configure parallel execution with queues and limits — so that the agents work simultaneously and stably (auto-restart, logs).

I personally maintain a parallel orchestra of code agents on a server, so I will set it up for your tasks quickly and without pitfalls. Ready today — a couple of hours after access to the server.

Budget: 220 USD Deadline: 1 day

We can take this as a short technical phase today. In terms of timing - 1 day, if there is access to the server or if we need to choose a VPS from available options. Regarding the budget - 220 USD for the setup without guessing - server selection, environment, API key connection, launching OpenClaw, checking parallel agents, and basic access protection.

Look, there’s a nuance - such agents are better not to be placed directly on a public port. I would do it through a separate user, Docker or similar isolation, SSH tunnel or Tailscale, separate API keys, and a short instruction for launching. Otherwise, saving 50 USD can easily turn into a strange lottery with access =/

> https://business.ingello.com/fractal - related to the topic of development automation and agent approach
> https://business.ingello.com/vorfahr - AI, generation, system automation, and product logic
> https://business.ingello.com/tts - AI service with API, infrastructure, and working SaaS part
> https://systems-fl.ingello.com - main profile of Ingello Systems for Freelancehunt

I will clarify 2 things to avoid mistakes with the setup.
> Is the server already purchased or do we need to find an option based on the number of agents?
> Which API keys do you plan to connect - OpenAI, Anthropic, or another provider?

!!If you need the launch today - we start with the minimal safe option!! - one server, secure access, test launch of the agent, and checking the task execution for coding. Expand

Budget: 50 USD Deadline: 1 day

🖐️ Hello!🙂
✅ I will complete it quickly and efficiently 👌
✅ I constantly work with AI agents for coding and server configuration 🎯
🛠 How I will do it: I will select a VPS for your tasks → set up the environment (Node/Python + dependencies) → connect API keys → configure the parallel launch of several agents → check the operation and provide a brief instruction.
🎥 Portfolio: Freelancehunt
✅ Ready to do it today. Contact me, and we will discuss the details 👌🙂

Budget: 50 USD Deadline: 1 day

Hello!!!

I am free and ready to take on work now.

Feel free to contact me.

Budget: 150 USD Deadline: 1 day

I already have a practically ready solution for server AI agents - it can be quickly adapted and launched under your openclaw code, I'm in touch ))

Today I can choose a virtual server, set up the environment, connect the API keys, configure the parallel launch of agents, and test the operation on a real task.
Regarding the timeline - basic launch in 1 day.
As for the budget - 150 USD for careful setup with verification, and 50 USD would be more suitable only for consultation or partial assistance.

The AI part is better done not just by installation, but with the division of agents by roles, separate working folders, rights limits, and a clear key storage scheme.
With openclaw, the security of keys, server access, logs, and the method of restarting agents after a crash are important - otherwise, it seems to work, but then it breaks beautifully, like a stool with ambitions.

Please let me know how many agents need to be kept running in parallel - 2-3 or more.
And which model provider do you plan to connect - OpenAI, Anthropic, Google, or another.

Similar cases - https://business.ingello.com/fractal - architecture of agent processes and automation.
Similar cases - https://business.ingello.com/vorfahr - AI automation with practical integration into the workflow.
About us for Freelancehunt - https://systems-fl.ingello.com Expand