Agent Cloud for Web

Platform summary

Agent Cloud is an open-source framework designed for organizations that want to create and run secure conversational apps powered by private large language models. It gives teams a secure way to query and discuss their internal data, improving discoverability and decision-making. The platform works with both self-hosted and cloud LLMs, so you can plug in your own models or use third-party services such as OpenAI.

Privacy and model deployment options

• Run language models on-premises to keep sensitive information inside your network.
• Connect to hosted model providers when you need scalable, managed inference.
• Mix and match local and cloud models to meet compliance and performance needs.

Data connectivity and synchronization

Agent Cloud simplifies connecting to organizational data by supporting a wide variety of sources and automating data flow into chat sessions. You can configure pipelines to keep knowledge up to date so conversations always draw from current information.

• Built-in connectors for hundreds of data sources to reduce integration work.
• Customizable sync pipelines that automate refresh schedules and transformations.
• A modular approach that lets you scale ingestion and processing independently.

Core infrastructure components

• Vector database: Qdrant for embedding storage and fast semantic retrieval.
• Message bus: RabbitMQ to coordinate events and real-time messaging between services.
• ETL/ELT tooling: Airbyte to extract, load, and transform data from external systems.

Scalability and extensibility

Agent Cloud’s modular design makes it straightforward to expand capacity or add new capabilities. Teams can plug in alternative components, extend connectors, and tailor pipelines so the platform grows with organizational needs.

Suggested alternative

If you prefer a commercial option with enterprise support, consider Kaya (paid), which offers similar capabilities with managed services and professional assistance for deployment and maintenance.