Past battle · 2025-11-21 UTC
AI Agents Frameworks Showdown — November 21, 2025
From the AI Agents Frameworks category. 3 marks placed across 2 fighters. ElizaOS took the crown.
Final standings
The line-up
The fighters
Profiles of every tool that competed in this battle, ranked by their final score.

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

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.
Criteria breakdown
- 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


InstAgent is a no-code platform for designing and deploying AI multi-agent systems directly from natural language ideas. Users describe what they want their agents to do, and the platform handles the orchestration, role assignment, and workflow setup automatically. The tool is aimed at founders, product teams, and non-technical builders who want to experiment with collaborative AI workflows without wrestling with frameworks or infrastructure. By lowering the barrier to entry, it makes multi-agent automation accessible for prototyping ideas, automating tasks, and exploring agent-driven applications.
Criteria breakdown
- Natural language agent creation
- Automated multi-agent orchestration
- No-code visual workflow
- Rapid prototyping of agent systems
- Pre-configured agent roles
- Idea-to-deployment in seconds

