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.