Budget: 50 USD Deadline: 3 days
Hello! I have set up parallel agent processes on a VPS, keeping them stable through systemd and queues to avoid resource conflicts and crashes. How many agents need to run simultaneously and what kind of server (cores/memory) do you have? I will estimate the configuration and whether the resources will be sufficient.
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
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: 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.
Budget: 50 USD Deadline: 3 days
Good day. I work on this every day: I have my own multi-agent AI system in production — 100,000+ lines of Python (FastAPI), 750+ API endpoints, 1,000+ automated tests.
What is implemented in it (all — custom code, I will show it live):
Orchestrator: 19 specialized agents, tasks as a dependency graph — parallel waves.
Agents: Planner → Specialist → Reviewer → Critic → Finalizer.
Model router: model selection based on task complexity, multi-provider support (OpenAI-compatible APIs, Gemini, Groq, DeepSeek) with automatic fallback, quota tracking, and model success rates. Integrated Telegram Discord bots.
I am ready to show the system live.
Budget: 50 USD Deadline: 1 day
Good day. I can set up a basic working environment for parallel OpenClaw Code agents on a VPS today: I will help choose a server for the required number of agents, install and isolate the environment, connect the API and keys through secure configuration, check the parallel launch, and provide commands for starting, stopping, and viewing logs. I work with Linux, Docker, CI/CD, and agent systems in production. For 50 USD, I include the setup of one VPS, connection of one API provider, a test parallel launch, and a short instruction. Custom panel, ongoing support, or modifications to OpenClaw can be done as a separate stage. I am ready to start today. Please clarify how many agents need to be launched simultaneously and which API/model you plan to use.
Budget: 1000 USD Deadline: 4 days
Hello. I will deploy OpenClaw/code agents on a VPS: isolation, access, models, tools, logs, and autostart. First, I will check the server and the necessary scripts, then I will set up the working environment. The price is negotiable.
Budget: 50 USD Deadline: 1 day
Hello! I'm currently working closely with parallel agents, so I'll get straight to the point. The server is secondary here; the main issue is that several agents quickly hit the API key limits (RPM/TPM) simultaneously, causing some of them to idle or encounter errors. Therefore, I adjust the number of parallel sessions to what your key can actually handle, and if many agents are needed, we can distribute the load across keys or through a queue to prevent them from interfering with each other.
Regarding the server, I can advise without extra costs: for agents, a stable network and enough RAM for several processes are more important than a top-tier CPU, so an expensive plan is often unnecessary. I will set up the environment, install the agents, connect the API, and allocate each to its own working folder to prevent them from overwriting each other's code during parallel operation.
I'm free today and can start right away. Details in private messages. I look forward to collaborating.
Budget: 50 USD Deadline: 2 days
Hello! I work daily with Claude Code and OpenAI Codex in tandem - I have my own portable environment setup for agent CLI (bash + PowerShell installers, MCP configs, separate skills profiles) for several machines. I can help choose a server for the load, set up the environment (Docker, dependencies, variables), and connect the API - experience with VPS/Oracle Cloud, Terraform, GitHub Actions on my projects. Please clarify: how many agents do you plan to parallelize and on which stack (Node/Python/other)?
Budget: 50 USD Deadline: 3 days
Hello!
I have experience working with AI agents and setting up environments for their deployment on VPS servers. I can help today with:
• selecting the optimal server for the parallel operation of Open Claw Code agents;
• configuring the Linux environment and necessary dependencies;
• connecting and configuring the API;
• launching multiple agents simultaneously and setting up their isolation;
• basic optimization of API costs and server resources.
To correctly select the configuration, it is desirable to understand:
* how many agents are planned to be launched simultaneously;
* which models will be used (GPT, Claude, Gemini, or local models);
* expected load and type of tasks.
Please send the options for servers that you have already found, and I will suggest the optimal option for your scenario.
Budget: 50 USD Deadline: 1 day
I will set up: server, environment, API keys, parallel agent launch. I installed OpenClaw on a VPS myself, so I will gather everything in one day. ClawHost from your link is fine for starting, but for the same money, a regular VPS offers more memory, and Hostinger even has a ready-made OpenClaw template in one click, which is cheaper (plus if you're interested, there are discounts for long-term purchases). Also, as a bonus, I will immediately address what is usually mentioned after problems: agent isolation, so they don't clash over files in a shared project, and API spending limits, so parallel work doesn't eat up the budget overnight. I can also suggest various tips. We will discuss the details in the chat.
Budget: 50 USD Deadline: 1 day
Hello!
I am available right now and ready to set up OpenClaw on your VPS today. I am well acquainted with the architecture of AI agents, containerization (Docker), and server configuration.
Here’s how we will proceed:
1. Choose a VPS: We will analyze the Clawhost you suggested (or find an alternative like Hetzner/DigitalOcean). For the agents to work comfortably and for code parsing, we will need a clean Ubuntu (preferably from 2 vCPU / 4 GB RAM).
2. Prepare the environment: I will install Docker, Docker Compose, Git, Node.js/Python (depending on the specific OpenClaw build).
3. Security: I will set up secure SSH access with keys, and close unnecessary ports through the Firewall (UFW).
4. Connect the API: We will securely write your API keys (OpenAI, Anthropic, or OpenRouter) into the environment (.env).
5. Launch: We will start the agents, conduct the first test run of code generation, and check the stability of the operation.
I am ready to start on the task as soon as I hear back from you. Message me, and we can discuss the server choice and begin the setup!
Best regards,
Alexey | DevOps & AI Specialist
Budget: 50 USD Deadline: 1 day
I regularly set up parallel Claude Code agents on servers — currently, I am managing a project where more than a dozen agents are running simultaneously on one VPS. I understand the nuances of memory and CPU limitations when running in parallel.
Regarding the server: for the parallel operation of agents, the power of a single core is less important than the amount of RAM and the number of vCPUs — each agent maintains its own context in memory. I can quickly estimate the configuration for the required number of threads as soon as I know how many agents you plan to run simultaneously.
I will set up the environment (process or container isolation for each agent to avoid conflicts), connect the API keys and tokens, and check that everything works stably under load.
How many agents do you plan to run in parallel and for what tasks — coding a single stack or different ones? This affects both the choice of server and the launch architecture.
Budget: 50 USD Deadline: 1 day
Hello. I am ready to take on your order. I will complete it quickly as I have done this many times before.
Budget: 50 USD Deadline: 2 days
Good day! We have experience deploying autonomous AI agents on server infrastructure. We implement this through the configuration of Docker containers for process isolation and optimization of server resources for the parallel operation of OpenClaw. We will assist with selecting the VPS configuration for your tasks and ensure the stable launch of all instances.
Budget: 50 USD Deadline: 1 day
Hello 👋
I set up Claude Code agents on a VPS specifically for parallel work, so let's get straight to the point — I'll address all three of your points.
1. Server Selection
There are indeed many "ready-made" options, but for several agents running simultaneously, it's not about attractive rates, but about real vCPU and RAM, because each agent is a separate Node process + project builds/tests. My guideline:
- 2–3 agents — 4 vCPU / 8 GB RAM
- 4–6 agents — 8 vCPU / 16 GB RAM
- SSD/NVMe disk is a must, at least 80 GB (repositories + node_modules for each worktree take up space)
For price/quality, I recommend Hetzner (CPX/CCX) or DigitalOcean — predictable pricing and good network. If you already have a paid server — I'll check its configuration and let you know if it can handle the required number of agents or if we’ll hit a memory limit.
2. Environment Setup
- Node.js LTS + installation of Claude Code CLI, authorization check
- tmux — each agent in its own session, you can disconnect and return, nothing crashes
- git worktree for each agent — they work in the same repo but in isolated working folders and branches, not interfering with each other’s changes (this is a key point for parallel work)
- basic security: separate user (not root), SSH by key, firewall
- logs and a clear launch structure, so you can see at any moment what each agent is working on
3. API Connection
- I will connect any LLM key and set up environment variables so that the key does not appear in command history or in the repository
- I will set limits/budget to ensure that parallel agents do not unexpectedly burn tokens
- if a cheaper option is needed — I will advise on providers and connection methods
Budget: 50 USD Deadline: 1 day
Hello, I have dealt with similar issues before and can quickly and efficiently resolve your problem. Write to me, and we will agree.
Budget: 50 USD Deadline: 1 day
Hello! I will show you the most convenient VPS for OpenClaw, I will demonstrate everything and explain, I have 8 OpenClaw agents for different clients there.
I specialize in automating business processes and implementing AI agents. I work with n8n, Python, CRM systems, API integrations, and LLM (OpenAI and others). I help reduce routine tasks, optimize processes, and increase efficiency.
I am ready to quickly and efficiently complete your task.
Budget: 55 USD Deadline: 1 day
Hello!
I am ready to take on your project and will complete it urgently.
I have extensive experience with similar tasks, so there will be no difficulties.
If I have piqued your interest, feel free to write; I am happy to collaborate!
Budget: 49 USD Deadline: 1 day
Hello! I'm free today and can start right now.
I worked with Open Claw in practice — I built an agent for job searching with voice integration at their hackathon, so I'm familiar with the tool.
What I will do:
1. I will select a server based on the load of the actual number of parallel agents (CPU/RAM depends on how many simultaneous processes you plan). I'll consider ClawHost as an option, but I'll compare it with a regular VPS (Hetzner/DO) — often it's more cost-effective for the same resources.
2. Each agent will be in its own container (Docker), so they don't interfere with each other and can be scaled/restarted separately.
3. API keys will be handled through env/secrets, not in the code.
4. I will set up the environment and check that the agents are actually running in parallel, not queuing up.
How many agents do you plan to run simultaneously, and do you already have API keys, or do you need help with that as well? I'm ready to start today.
Budget: 50 USD Deadline: 5 days
Hello, I have implemented many projects with neural networks, configured OpenClaw, I know a server (where they give 3 months for free, everything can be set up there, and later if needed I can help transition to a new one, or stay on the same one). Have you already chosen which neural network you want to use? If not, I can help with the selection as well. Where do you want to manage the agents? In a Telegram bot? Or would a web interface be more convenient for you? Also, if you have a web project, I can help set up GitHub (where the code will be stored), Docker (so that the project runs and is stable).
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
