elizaos

Orchestrate multi-agent workflows with an end-to-end framework for agents and plugins.

Updated Oct 17, 2025
One-click install
npx skills add https://github.com/iamcapote/emptyrepo --skill elizaos-iamcapote
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: elizaos
Source: https://github.com/iamcapote/emptyrepo/tree/main/skills/forged/elizaos
Command: npx skills add https://github.com/iamcapote/emptyrepo --skill elizaos-iamcapote

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates multi-agent workflows by providing an end-to-end framework to instantiate agents and plugins.

Core Features & Use Cases

  • Instantiating and configuring ElizaOS agents
  • Developing custom plugins (actions, providers, evaluators, services)
  • Debugging agent behavior and runtime issues
  • Deploying multi-agent systems
  • Integrating Venice AI and Ollama models with official plugins
  • Building Council architectures with multiple agents

Quick Start

Create a new ElizaOS project and initialize a multi-agent runtime with a sample merlin character.

Frequently Asked Questions about elizaos

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

FAQPage Schema
How do I instantiate and configure multi-agent workflows using ElizaOS?▼

You can instantiate ElizaOS multi-agent workflows by creating a new project and initializing a modular runtime environment with agent templates and plugins. This framework allows you to configure environment variables and build council-level AI simulations.

Can I develop custom plugins for actions and providers in a multi-agent framework?▼

Yes, the multi-agent framework supports developing custom plugins including actions, providers, evaluators, and services. This plugin-driven architecture allows you to extend agent capabilities and coordinate complex agent behaviors across the runtime.

Does ElizaOS work with Venice AI and Ollama models for agent deployment?▼

Yes, ElizaOS integrates with Venice AI and Ollama models using official plugins. This allows you to configure agents with alternative model providers while maintaining the framework's multi-agent coordination and debugging capabilities.

What's the best way to debug runtime issues in a multi-agent system?▼

Debugging multi-agent runtime issues is handled through the framework's built-in debugging tools designed for agent behavior analysis. You can monitor plugin execution, evaluate agent responses, and trace service interactions within the modular architecture.

How do I build a Council architecture with multiple agents?▼

Building a Council architecture involves instantiating multiple ElizaOS agents within a single runtime environment. You configure each agent using templates and environment variables, then coordinate their interactions through the plugin system to achieve collaborative AI simulations.

Do I need specific environment configurations to deploy a modular multi-agent runtime?▼

Deploying a modular multi-agent runtime requires configuring environment variables for agent templates and plugin systems. The framework provides a modular architecture where you define runtime parameters, integrate necessary plugins, and set up deployment configurations.