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DUST
Build and deploy custom AI agents that do real work for your team
MIT
ABOUT
Teams building AI agents face a fragmented toolchain — stitching together LLM providers, vector stores, tools, and deployment infrastructure while managing access controls, secrets, and sharing across team members. Dust provides a unified platform that combines agent development, management, and deployment in a collaborative workspace. Teams define agents with specific instructions, tool access, and data source connections, then deploy them as API endpoints or share them within the workspace. The platform handles model routing, context management, secret storage, and multi-user access so teams focus on agent behavior rather than infrastructure.
INTEGRATION GUIDE
1. Deploy team-wide AI assistants that have access to shared company documents, wikis, and knowledge bases
2. Build custom agents that combine web search, database queries, and API calls in multi-step reasoning workflows
3. Create specialized support agents trained on product documentation that escalate complex issues to human agents
4. Automate recurring workflows like meeting summarization, email triage, and report generation across team members
5. Prototype and iterate on agent configurations collaboratively before deploying to production with workspace controls
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agentsllmplatformcollaborationautomationworkspaceragtoolsrust