AI Agents

AI agents that run on your own GPU

Autonomous agents powered by open-source LLMs. Deployed on a QuData-rented GPU, they live in your messengers and never hand your data to someone else’s cloud.

AI agents on your own GPU

An agent is not a chatbot. It takes a goal, plans steps, calls tools and delivers a result. On a QuData-rented GPU it does all of this without sending data to a third-party cloud API.

Prompts and responses stay on your compute — no vendor lock-in and no leaks into a third-party LLM. Critical for financial data, healthcare records, legal documents and internal company docs. You pay for an hour of GPU, not for every token. Under heavy load a QuData-rented NVIDIA A100 or H100 ends up 3–5x cheaper than an equivalent cloud API and answers faster thanks to local inference. The agents are open source, support the OpenAI-compatible API and the MCP protocol, deploy with a single command and plug into messengers, CRMs and infrastructure through webhook and REST.

Pick the agent for your task

OpenClaw

Personal AI assistant on your own GPU infrastructure
374k
TypeScriptMIT

An open-source assistant that lives where you do: WhatsApp, Slack, Discord, Telegram, iMessage. Runs locally on your GPU — your data never leaves your infrastructure.

Live Canvas22+ channelsmacOS, iOS, AndroidA2UI

Hermes

A self-improving agent that grows with you
167k
PythonMIT

An open-source agent from Nous Research with a closed learning loop: it builds skills from successful runs, remembers your preferences, and stitches messengers, CRMs and infrastructure into one autonomous flow.

Cross-session memoryCron automationsTelegram, Slack, CLISandbox
FAQ

Frequently asked about AI agents

What is an AI agent and how is it different from a chatbot?

A chatbot replies with text. An AI agent acts: takes a goal, plans steps, calls tools, recovers from errors and delivers a result — without a human in the middle of every step.

Will my data be safe?

Yes. The agent runs on a QuData-rented GPU. Messages, documents and keys stay on your compute and never leak into a third-party LLM. Critical for finance, healthcare, legal and internal docs.

What exactly can an AI agent do?

Process inbound messages and route tasks, monitor systems and react to alerts, parse and structure data, write and review code, build summaries from multiple sources, run playbooks on a schedule.

Why is renting a GPU cheaper than cloud APIs?

You pay for actual runtime, not idle. Under heavy load a QuData-rented A100 or H100 ends up 3–5x cheaper than an equivalent cloud API and answers faster on top.

How fast can I launch a QuData agent?

Rent a GPU, install the agent with one command, connect channels. A minute after start the agent already accepts events and runs tasks.

Can I extend the agent for my own workflows?

Yes. Both agents support an OpenAI-compatible API and the MCP protocol. Add your own tools and skills without touching the core.