ElizaOSOpen-source framework for building autonomous AI agents that can act across the web and on-chain.

4.0 (4)

Reviewed by Daniel Nikulshyn·Updated May 2026

Open Source AI Agents Web3 Developer Tools Framework Self-Hosted Blockchain Autonomous

Overview

ElizaOS is an open-source protocol for creating and deploying autonomous AI agents capable of reasoning, remembering context, and taking actions across multiple platforms. Originally developed to power ai16z—a DAO governed by AI agents—it has grown into a general-purpose toolkit for developers building agent-driven applications. The framework supports integrations with social platforms, messaging services, and blockchain networks, allowing agents to participate in communities, manage on-chain assets, or coordinate complex workflows. Developers can define agent personalities, plug in custom skills, and connect to a range of language models. Because it is fully open source, ElizaOS is extensible and community-driven, making it suitable for experimentation as well as production deployments in Web3 and traditional environments.

Key features

Customizable agent personalities and memory
Plugin system for extending capabilities
Multi-model LLM support
Social and messaging platform connectors
On-chain action and wallet integration
DAO and autonomous coordination tooling

Pricing

Model: Free
Category: AI Agents Frameworks
Rating: 4.0 / 5 (4)

Use cases

Build Autonomous On-Chain Agents

Deploy AI agents that manage wallets, execute on-chain actions, and participate in DAO governance, similar to how ai16z operates as an AI-governed DAO.

Create Social Media Agent Personalities

Define custom agent personas with persistent memory and connect them to social and messaging platforms to engage communities autonomously.

Coordinate Multi-Platform Workflows

Use the plugin system and multi-model LLM support to build agents that reason across services and orchestrate complex cross-platform tasks.

Extend Agents with Custom Skills

Developers can fork the open-source framework, plug in custom capabilities, and self-host agents tailored to specific Web3 or enterprise use cases.

Pros & Cons

Pros

Fully open source and self-hostable
Multi-platform agent integrations
Active developer community
Supports on-chain and Web3 use cases
Flexible LLM and plugin architecture

Cons

Requires technical setup and coding skills
Documentation can lag rapid development
Operating agents incurs API and infra costs
Crypto-focused features may not suit all users

Battle record

Across 1 battle in the Pantheon.

1st

2nd

3rd

Last battle

#1
AI Agents Frameworks Showdown — November 21, 2025
Nov 21, 2025 · #1 of 2

Reviews

4.0

Average from 4 ratings.

Aaliyah Johnson

Dec 22, 2025

Does the job

Pretty happy overall. DAO and autonomous coordination tooling just works and supports on-chain and Web3 use cases. Requires technical setup and coding skills can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Linda Petersen

Oct 15, 2025

Does the job

Pretty happy overall. Plugin system for extending capabilities just works and supports on-chain and Web3 use cases. Documentation can lag rapid development can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Jamal Carter

Aug 6, 2025

Use it every day

Honestly didn't expect to like it this much. Multi-model LLM support is exactly what I needed, and fully open source and self-hostable. I do wish documentation can lag rapid development, but I reach for it almost every day now and it just clicks.

Carlos Mendoza

Jul 31, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is multi-model LLM support — handled better than most — and supports on-chain and Web3 use cases. Documentation can lag rapid development is my one real gripe. Worth the time if this is your use case.