How do i have all access or Configure Ai Agent on Ubuntu.
This textbox defaults to using Markdown to format your answer.
You can type !ref in this text area to quickly search our full set of tutorials, documentation & marketplace offerings and insert the link!
These answers are provided by our Community. If you find them useful, show some love by clicking the heart. If you run into issues leave a comment, or add your own answer to help others.
Heya,
One thing worth flagging regardless of which one you mean: “all access” is doing a lot of work in that phrasing. If you mean running the agent as root or giving it unrestricted shell access to the whole box, that’s usually the wrong default no matter which tool you pick, a runaway or misdirected agent with full system access can do real damage, from deleting files to reconfiguring services it shouldn’t touch.
The safer starting point on Ubuntu is a dedicated non-root user for the agent to run under, with sudo access only if and where it’s actually needed for what it’s doing, rather than handing over the whole system by default.
Hope that this helps!
Hi there,
The question is a bit broad but here is a practical starting point depending on what you are trying to do.
If you want to run an AI agent on a DigitalOcean Ubuntu Droplet that calls an LLM, the simplest setup is a Python script that hits an API endpoint. DigitalOcean has its own inference platform with OpenAI-compatible endpoints so you do not need to manage your own model:
from openai import OpenAI
client = OpenAI(
base_url="https://inference.do-ai.run/v1",
api_key="your-do-api-key"
)
response = client.chat.completions.create(
model="mistral-7b-instruct",
messages=[{"role": "user", "content": "Your prompt here"}]
)
print(response.choices[0].message.content)
Install the dependency first:
pip install openai
Full inference platform docs here: https://docs.digitalocean.com/products/inference/
If you can share a bit more about what you are trying to build, easier to point you in the right direction. Are you looking to run a local model, connect to an external API, or build something more agentic with tools and memory?
Get paid to write technical tutorials and select a tech-focused charity to receive a matching donation.
Full documentation for every DigitalOcean product.
The Wave has everything you need to know about building a business, from raising funding to marketing your product.
Scale up as you grow — whether you're running one virtual machine or ten thousand.

From GPU-powered inference and Kubernetes to managed databases and storage, get everything you need to build, scale, and deploy intelligent applications.
