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Generate controllable production-grade AI agents and workflows without coding.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nexent" yet — see the docs or source repo.
Use Nexent to design a production-grade customer support AI agent that integrates knowledge base retrieval, ticketing systems, and chat channels. Include conversation memory, human escalation, answer safety constraints, retry logic, and a quality feedback loop, then outline the required tools, skills, memory, and orchestration flow.
A customer support agent blueprint with module configuration, safeguards, orchestration, and deployment-ready components.
Use Nexent to generate an internal operations agent that receives form requests, validates fields, checks internal systems, produces handling recommendations, and triggers approvals and notifications for exceptions. Explain the control plane, feedback loops, and dependencies across steps.
An executable operations automation agent design with inputs, outputs, exception branches, and governance mechanisms.
Design a multi-agent system in Nexent: one agent for requirement parsing, one for tool execution, and one for result review. Define shared memory, role boundaries, orchestration rules, monitoring metrics, and human intervention points.
A multi-agent collaboration architecture showing role division, memory management, orchestration logic, and monitoring controls.
Coordinate multiple AI assistants with local asset hubs, meeting rooms, and project vaults.
Connects specification planning with coding agents for stepwise requirements and code delivery.
Govern and secure AI applications with stronger access, compliance, and controls.
Search merchants, inspect offers, and validate checkout or negotiation before purchase.
Coordinate heterogeneous LLM coding agents through versioned document exchange and notifications.
Create and inspect agent tasks, discover capabilities, and run NexusToken V2 jobs.