Orchestrate LLMs, tools, and channels with YAML-driven phase workflows.
npx skills add https://github.com/nextlw/nexagent --skill nexagent
Please help me install this Agent Skill. Skill: nexagent Source: https://github.com/nextlw/nexagent/tree/main/skill_extracted/nexagent Command: npx skills add https://github.com/nextlw/nexagent --skill nexagent
NexAgent provides a modular framework to build intelligent agents that orchestrate LLMs, tools, and channels, reducing boilerplate and enabling scalable decision-making.
Create a NexAgent project skeleton and begin implementing tools, phases, and channels to deploy a production-grade AI agent.
High-intent search queries and answers about installing and using this skill.
You can build production-grade AI agents by using a modular framework that orchestrates LLMs, tools, and channels through declarative YAML-driven phase workflows, reducing boilerplate for scalable decision-making.
You define complex agent workflows declaratively using YAML-driven phases, configuring tools and multi-channel outputs to orchestrate sequential logic and scalable decision-making without heavy boilerplate.
Yes, you can deploy autonomous AI agents across multiple channels including WhatsApp, Telegram, and HTTP APIs, enabling channel-appropriate outputs and comprehensive observability for production environments.
Circuit breakers and caching are optional for multi-tenant AI agent deployments, but they provide production-grade resilience by preventing cascading failures and optimizing tool execution performance.
The best way to add custom tools is through a modular tool registry, implementing tools with optional caching and circuit breakers, and using references and assets for extensibility.
Yes, NexAgent supports Railway and Docker deployment tools, allowing you to containerize and deploy production-grade AI agent workflows with hot reload and multi-tenant capabilities.
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