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agenticx-agent-builder

Design, configure, and deploy AgenticX agents with roles, goals, tools, and LLM providers for scalable multi-agent systems.

207|44|Updated Mar 15, 2024

Search Tags:#llm #multi-agent #agents #orchestration #execution #tools #agenticx

Ready to run

npx skills add https://github.com/DemonDamon/AgenticX --skill agenticx-agent-builder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agenticx-agent-builder
Source: https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/agenticx-agent-builder
Command: npx skills add https://github.com/DemonDamon/AgenticX --skill agenticx-agent-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The AgenticX Agent Builder provides a structured approach to design, configure, and deploy production-grade agents by defining identity, tools, LLM backends, and execution strategies, enabling scalable multi-agent systems.

Core Features & Use Cases

Identity & Goals: define agent id, name, role, and goal to establish clear purpose.
LLM Providers: configure one or more backends to drive reasoning and responses.
Tools & Execution: attach tools via decorators, configure execution strategies, and manage task lifecycles.
Multi-Agent Patterns: enable handoffs, inter-agent communication, and guardrails for complex workflows.
Use Cases: from single-agent assistants to teams collaborating on data processing, research, and automation tasks.

Quick Start

Create a basic agent, attach a couple of tools, and run a simple task to validate the setup.

Frequently Asked Questions about agenticx-agent-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I configure multi-agent orchestration for scalable automation?▼

Multi-agent orchestration is configured by defining agent identities, attaching tools, and setting execution strategies to enable inter-agent communication, handoffs, and guardrails for scalable automation workflows.

What is the best way to design production-grade LLM agents with tool bindings?▼

Design production-grade LLM agents by defining their id, role, and goal, configuring LLM provider backends, and attaching tools via decorators to establish clear purpose and robust execution patterns.

Can I use multiple LLM providers to drive reasoning for a single agent?▼

Yes, you can configure one or more LLM provider backends when designing agents, allowing you to drive reasoning and responses while managing task lifecycles effectively.

How do I attach tools to agents using decorators for execution tasks?▼

Attach tools to agents by using decorators to bind specific functions, configuring execution strategies, and managing task lifecycles to ensure maintainable architectures for complex workflows.

Does AgenticX support multi-agent handoffs and inter-agent communication?▼

AgenticX supports multi-agent handoffs and inter-agent communication by applying execution patterns and guardrails, enabling teams of agents to collaborate on data processing, research, and automation tasks.

When do I need to define execution strategies for multi-agent systems?▼

Define execution strategies for multi-agent systems when you need to manage complex task lifecycles, enable agent handoffs, and ensure maintainable architectures for production-grade automation.