Multi-Agent Orchestrator
Conversational entry point that classifies user intent, routes to specialist agents, and orchestrates multi-step autonomous plans with human approval.
Why it matters
A busy operator shouldn’t have to pick which specialist to ask. The orchestrator understands the question in plain language, breaks it into the right sequence of parallel and sequential steps, and dispatches each step to the specialist agent best suited for it. It is the one door to a multi-agent platform that would otherwise require operators to memorize which tool to reach for.
Capabilities
- Intent classification across a wide range of task categories with confidence scoring; low-confidence queries trigger a UI clarification step before any specialist is dispatched.
- Plan composition — sequential and parallel steps are organized into a directed graph, with per-step results fanning back into a shared result store.
- Direct subgraph invocation of specialist agents for fast-path queries, and coordinated hand-offs between specialists inside a single user turn.
- Non-blocking dispatch — long-running operations run to completion without freezing the UI, via an interrupt/resume pattern between frontend and backend.
- Alert-driven investigations — incident context tags skip the classification step and drop directly into an investigation plan for automated incident response.
What makes it hold up
The hardest part wasn’t routing — it was making the plans small enough to execute predictably while still useful. Each specialist returns a typed result, and the orchestrator’s synthesis step is deliberately boring: summarize, cross-reference, and highlight conflicts. Nothing clever. That’s what keeps the whole graph debuggable.
Enterprise project. Official writeup and demo link will be added once online.