THriveX Agent Studio — Visual Multi-Agent Orchestration Platform
THriveX Agent Studio is a visual, no-code canvas for designing and running multi-agent AI systems. Teams compose agent architectures on a drag-and-drop node graph, configure how an orchestrator delegates work to parallel workers, and observe every execution step with live tracing, token counts and per-step cost.
| What it is | A visual, no-code canvas for building and running multi-agent AI systems. |
|---|---|
| Who it's for | Operations, revenue and product teams that need multi-step automation without an engineering backlog; platform teams that want a visual layer over agent orchestration. |
| Runs on | Any major LLM — GPT, Claude, Gemini, Llama, Mistral. Swap the model behind any agent without rebuilding the workflow. |
| Part of | THriveX Platform, alongside THriveX AI Workspace and THriveX Mesh. |
What you can build with it
- Drag-and-drop node graph. Visually assemble multi-agent architectures from LLM nodes, prompt routers, tool integrations, function nodes and human-review steps.
- Parent and worker delegation. Configure orchestrator agents that decompose a user request into sub-tasks, dispatch them to parallel worker nodes, and merge the outputs automatically into a unified result.
- Live tracing and evaluation. Step-by-step observability of every decision, token count, cost and model output. Latency bottlenecks are pinpointed and agent logic is debugged visually in real time.
- Human-in-the-loop review steps. Insert approval gates anywhere in a flow.
- Multiple parallel outputs. A single flow can emit several distinct deliverables — for example an account brief, an outreach campaign and a commercial proposal from one B2B sales prompt.
Representative flow (B2B sales agent): Start → Orchestrator → parallel workers (Document Analysis, Live Research, Contact Discovery, Enrichment) → a merge function ("United Intelligence") → downstream builders (Account Brief Builder, Outreach Builder, Commercial Builder) → three final outputs.
Common questions
What is THriveX Agent Studio?
THriveX Agent Studio is a visual, no-code platform for building and orchestrating multi-agent AI systems. You assemble agent architectures on a drag-and-drop node graph, configure how an orchestrator delegates work to parallel workers, and observe every execution step with live tracing, token counts and per-step cost.
Do I need to write code to build agents in THriveX Agent Studio?
No. Agent Studio is a no-code visual builder. You drag LLM nodes, prompt routers, tool integrations and human review steps onto a canvas and connect them. There are no deploy scripts and no engineering backlog required to ship a workflow.
How does orchestrator-to-worker delegation work?
An orchestrator agent breaks a user request into sub-tasks, dispatches them to worker agents that run in parallel, and merges their outputs automatically into a unified result. A single flow can emit several distinct deliverables from one prompt.
Can I see how much each agent run costs?
Yes. Agent Studio exposes full observability per run — every decision, token count, tool call, model output and cost, step by step. This lets you pinpoint latency bottlenecks and debug agent logic visually in real time.
Which LLMs does THriveX Agent Studio support?
Agent Studio runs on any major large language model, including GPT, Claude, Gemini, Llama and Mistral. You can swap the model behind any agent without rebuilding the workflow.