Dust AI

About the tool

Dust serves as an infrastructural layer identified as an Agent Management Platform (AMP), designed to deploy, orchestrate, and govern fleets of specialized AI agents. Unlike traditional software focused on discrete tasks, Dust acts as a connective tissue between an organization’s internal knowledge—stored in platforms like Slack, Notion, and GitHub—and foundation models. It is engineered for teams that require a context-aware infrastructure capable of performing semantic search, data analysis, and autonomous web navigation while maintaining strict security boundaries. The platform addresses the high failure rates of internal AI development by providing a model-agnostic architecture that supports leading models such as Claude, GPT, and Grok. Through its "Managed Connections," Dust provides persistent, automatically synced access to corporate data while mirroring existing permission systems to prevent over-sharing. This allows domain experts to build multi-step "agent chains" that interpret variability and exception-handle complex processes rather than following rigid, linear rules. By democratizing AI creation through a no-code environment, Dust enables non-technical leads in support, sales, and operations to design specialized tools that solve their specific problems. It transforms AI from a simple conversational novelty into a mission-critical infrastructure layer that increases operational velocity and upskills the entire workforce through shared AI workflows and collaborative agent hives.