Nagent AI

Multi-Agent Orchestration Platform

Design, deploy, and coordinate multi-agent workflows that execute complex tasks autonomously — routing work to the right agents, at the right time, with full observability.

How It Works

01

Define the Workflow

Model your business process as a directed graph with decision points, parallel branches, and conditional logic.

02

Route to Agents

Nagent dynamically assigns subtasks to the best-fit specialised agents based on skill, availability, and priority.

03

Execute in Parallel

Agents run concurrently or in sequence, passing structured context through each step of the pipeline.

04

Monitor & Audit

Real-time observability with per-step traces, latency metrics, and human-in-the-loop approval checkpoints.

Key Capabilities

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Dynamic Routing

Intelligent task distribution based on agent capabilities, load, and SLA requirements.

Parallel Execution

Run multiple agents concurrently to collapse task timelines by up to 10x.

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Error Recovery

Automatic retry, fallback routing, and graceful degradation when individual agents fail.

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Context Passing

Agents share structured state and memory across the full pipeline without manual plumbing.

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Full Observability

Audit trail with per-step latency, output quality scores, and token usage.

Human-in-the-Loop

Insert approval gates anywhere in a workflow — agents pause and wait for sign-off before continuing.

Frequently Asked Questions

What is multi-agent orchestration?
Multi-agent orchestration is the coordination of multiple specialised AI agents working together on a shared task. Rather than one monolithic model trying to do everything, orchestration breaks work into subtasks and delegates each to the most capable agent, enabling more reliable and scalable automation.
How does Nagent handle agent failures?
Nagent's orchestration layer includes automatic retry logic, configurable fallback agents, and escalation rules. If an agent fails after retries, the workflow can route to an alternative agent, pause for human review, or gracefully terminate with a structured error payload.
Can I build conditional workflows?
Yes. The workflow designer supports conditional branching, loops, parallel fan-out/fan-in, and nested sub-workflows. You can define conditions based on agent outputs, external API responses, or business rules.
Does orchestration work with third-party agents?
Nagent can orchestrate both native agents and external agents exposed via API or LangChain/OpenAI-compatible interfaces. Any agent that accepts structured input and returns structured output can participate in a Nagent workflow.

See Agent Orchestration in action

Talk to a Nagent solutions engineer and get a live walkthrough tailored to your use case.