Seamless AI-Driven Application Deployment

With Live Data and ML Integration.

AI Agent Lab is designed to empower software development teams, data scientists, and technology innovators. It provides a ready-to-use environment with tools like Code Server, QuestDB, Grafana, and AI agents, allowing teams to focus on building and experimenting without the hassle of managing complex infrastructure.

AI Agent Lab provides researchers with a robust platform for experimenting with live data streams, technical analysis, and machine learning. Its versatile setup facilitates rapid prototyping, testing, and visualization, making it ideal for exploring new AI methodologies and validating hypotheses.

AI Agent Lab is a perfect environment for students to learn and experiment with AI-driven applications, real-time data analysis, and cloud-based tools. It provides hands-on experience that bridges theoretical learning with practical implementation, fostering skills development in a modern data science context.

Quick start

To use the AI Agent Host locally, follow these steps: Ensure Docker is installed and configured in your environment, clone the AI Agent Host repository, navigate to the Docker directory, and start the AI Agent Host with the provided docker-compose configuration.

For instructions on setting up a remote connection, refer to the advanced usage documentation..

git clone https://github.com/quantiota/AI-Agent-Host.git

 cd AI-Agent-Host/docker
 docker compose up --build -d

Features

The AI Agent Lab integrates several advanced technologies, offering a unique combination of features for developing language model-driven applications powered by data streams and ML processors.

Code-Server is a web-based IDE based on Visual Studio Code. It provides a familiar coding environment with features such as code completion, syntax highlighting, and debugging capabilities.

QuestDB is a high-performance, open-source time-series database. It allows for efficient storage and querying of time-series data, making it ideal for working with real-time data streams.

Grafana is a popular open-source platform for data visualization and monitoring. It provides a rich set of features for creating interactive dashboards and visualizing data from various sources.

The AI Agent is the core backend service in the AI Agent Lab, handling AI processing, data retrieval, and related operations.

The agent has its own dedicated email identity that allows it to communicate with the outside world independently, sending, receiving, and responding to emails like any other entity.

Nginx is a widely-used web server and reverse proxy server. It enhances the AI Agent Lab by providing additional functionality for routing and load balancing, improving performance and security.

Prometheus is a powerful monitoring and alerting tool that collects real-time metrics. It is essential for alerting and tracking the performance and health of the system’s components.

Data Stream Processors enable the processing and analysis of real-time data flows, making them ideal for applications requiring continuous data updates.

ML Processors provide machine learning capabilities, allowing for the deployment and execution of models that can process and respond to live data inputs.

Includes the SKA Neural Network to transform AI learning by autonomously structuring knowledge in real time, using entropy-based updates for streaming and adaptive decision-making.

Code-server can connect remotely to JupyterHub installed on a GPU server, enabling the offloading of computationally intensive tasks to a centralized environment.

Human-agent telemetry pipeline with real-time streaming, for structured knowledge accumulation and storage in QuestDB.

Free course on the Structured Knowledge Accumulation Framework with quizzes and Lab experiments.

The SKA Binance Trading Bot is a high-sophistication trading system whose entropy-driven model learns in realtime from true Binance tick data, built on the SKA Binance API.

Utilizes Claude's state-of-the-art language models to generate insightful responses and perform a variety of tasks, providing the core intelligence behind the AI agent.

Architecture

Applications

AI Research and Experimentation, Educational Platforms, Custom AI Solutions, Real-Time Decision Systems. Quantitative Finance, Cryptocurrency, IoT and Sensor Data Monitoring.

Pricing

Flexible Monthly Plans – Tailored for Data Science Users, Students, Professionals, and Researchers. AWS EC2 m7i.xlarge per tenant: 4 vCPU, 16 GB RAM, 250 GB.

Feature	AI Agent Host Free	AI Agent Lab Most Popular	AI Trading Lab Coming October 2026	AI Agent Farm ENTERPRISE
Code server
QuestDB
Grafana
Nginx
AI Agent
AI Agent UI
Prometheus
Telemetry
Data Streams
ML Processors
SKA Neural Network
Backup/Restore
SKA Binance API
JupyterHub
GPUs
RMS
Email Support
Usage Limit
Pricing	$0 per month	$209 per month	$1,200 per month	Contact us
	Install self-hosted AI Agent Host	Get AI Agent Lab	Join Waitlist	Get AI Agent Farm

Faq

Here, you'll find answers to common questions about this advanced environment for experimenting with AI, real-time data streams, machine learning, and data visualization. For information on scalability, please refer to the AI Agent Farm Faq.

The AI Agent Lab is a modular, Docker-based environment designed for experimenting with Claude (Anthropic) language models, real-time data streams, machine learning, and interactive visualizations. It integrates QuestDB, Grafana, Code-Server, and Nginx to provide a seamless development and testing experience.
The lab includes:
- Code-Server for a web-based IDE
- QuestDB for time-series data management
- Grafana for data visualization
- AI Agent for AI processing
- Nginx for routing and load balancing
- Prometheus for monitoring CPU and memory in real-time.
- Data Stream Processors
- SKA Neural Network
- Machine Learning Processors
- Backup/Restore
Yes, AI Agent Lab supports integration with a remote JupyterHub that uses a GPU for accelerated computation. This setup is beneficial for applications requiring high-performance processing, such as deep learning and intensive data analysis. To connect, ensure the remote JupyterHub has GPU support enabled and the necessary libraries installed.
The AI Agent Lab includes data stream processors, enabling continuous ingestion and analysis of real-time data streams. Data streams refer to real-time data that flows continuously into the system for immediate analysis. With QuestDB as the time-series database and data stream processors in place, the AI Agent Lab allows users to efficiently store, process, and visualize real-time data, making it ideal for applications like financial markets, sensor data monitoring, and other time-sensitive analytics.
The SKA (Structured Knowledge Accumulation) Neural Network is an advanced feature of the AI Agent Lab. It introduces a novel, forward-only, entropy-based learning framework for real-time data and autonomous knowledge structuring. This feature allows users to:
- Structure and adapt knowledge in real time from streaming data with minimal supervision.
- Achieve rapid, layer-wise updates through entropy-driven learning rather than backpropagation.
- Expand network dimensionality dynamically, supporting adaptive and scalable intelligence.
Whether you are in AI research, edge computing, or financial analytics, the SKA Neural Network provides breakthrough capabilities for explainable, adaptive, and efficient machine learning.
For optimal performance, the hardware setup includes:
- Quad-core CPU
- 16GB RAM
- 250GB SSD
- 4x1TB RAID 10
The AI Agent Lab can be applied to a variety of domains, including but not limited to:
- Quantitative Finance: Analyzing financial markets with real-time data streams and technical indicators.
- IoT and Sensor Data Monitoring: Processing real-time data from sensors for predictive maintenance and analytics.
- AI Research and Experimentation: Testing language models and AI workflows in a controlled environment.
- Educational Platforms: Providing an interactive setup for learning AI, machine learning, and data visualization.
- Custom AI Solutions: Developing bespoke AI applications for industries such as healthcare, logistics, and manufacturing.
- Real-Time Decision Systems: Enabling applications that require immediate insights from streaming data.

AI Agent Lab — Quick Tour

A ready-to-use agentic development environment: Run AI Agent Lab on any machine anywhere and access it in the browser.

Watch the latest demo
See it in action
Try it yourself

Learn more Contact us ›

AI Agent Lab — JupyterHub

Offload heavy compute from the lab terminal to a remote GPU kernel on JupyterHub.

Run any script on a remote GPU with one CLI command
Same code, CPU vs GPU — see the speedup live
One dedicated GPU per agent

Learn more Contact us ›

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Seamless AI-Driven Application Deployment

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Quick start

Features

Code server

QuestDB

Grafana

AI Agent

Agent Email

Nginx

Prometheus

Data Stream Processors

ML Processors

SKA Neural Network

JupyterHub

Telemetry

SKA Academy

SKA Binance Trading Bot

Claude