Design, orchestrate, deploy, and govern AI agents in one centralized system. Agent Hub in Dataiku brings agents, tools, models, and enterprise data together with the visibility, control, and lifecycle management required to scale in production.

Design agents using visual workflows or full code, connect them to enterprise data and tools, and orchestrate multi-step agentic processes in one governed environment.
Track agent behavior, usage, outcomes, and dependencies in a single workspace. Maintain accountability, auditability, and performance insight across every deployed agent.
Standardize prompts, tools, guardrails, and templates so teams innovate within clear boundaries, accelerating delivery without introducing risk or fragmentation.
Agent Hub brings everything needed to design, deploy, and scale AI agents into one governed system. Build visually or in code, connect to enterprise data and tools, and orchestrate multi-step agent workflows all in one place.
Agents aren’t side experiments. They’re production assets, built on approved data, reusable components, and shared standards so teams can scale impact without reinventing the wheel.

Agent Hub centralizes testing, deployment, monitoring, and oversight. See how agents behave, what tools they call, and what outcomes they generate with auditability and accountability by default.
Governance isn’t bolted on. It’s embedded into how agents are built and run, so enterprises move fast without losing visibility, control, or architectural consistency.

Connect to any LLM provider or self-hosted model, with centralized visibility and control across every connection.
Turn a business objective into a complete AI project inside Dataiku, described in plain language.
Ensure agents deliver real business value by tracking performance, detecting drift, and maintaining governance at scale.
“The platform is intuitive, collaborative, and streamlines workflows from data prep to model deployment. Dataiku has truly transformed how we handle data!”
Data scientist
Retail
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