AgentVerse (5,096 Stars) 2026: Simulate Multi-Agent LLM Environments with Customizable Agents

AgentVerse (5,096 stars) is a framework for simulating multi-agent LLM environments - think agent-based modeling with LLMs. Here is how to build a simulation with custom agents.

💡 What You Will Learn

AgentVerse (5,096 stars) is a framework for simulating multi-agent LLM environments - think agent-based modeling with LLMs. Here is how to build a simulation with custom agents.

📜 Table of Contents

• The short answer
• What you can simulate
• Minimal example
• Practical patterns
• FAQ

The short answer

OpenBMB/AgentVerse (5,096 stars, Python) is a framework from OpenBMB (the Tsinghua NLP team) for building multi-agent LLM simulations. You define agents with different roles and capabilities, put them in an environment, and watch them collaborate or compete - useful for research, game design, and testing.

What you can simulate

• Collaboration: agents with different skills solving a task together
• Competition: negotiation, debate, and game scenarios
• Social simulation: communities, markets, and opinion dynamics
• Tool use: agents calling external tools and APIs

Minimal example

from agentverse.environments import BasicEnvironment
from agentverse.agents import LLMAgent

# Define two agents with roles
agents = [
    LLMAgent(name="Alice", role_description="You are a careful researcher."),
    LLMAgent(name="Bob", role_description="You are a skeptical reviewer."),
]

env = BasicEnvironment(agents=agents)
result = env.step("Research: is RAG better than fine-tuning for private docs?")
print(result)

Install: pip install agentverse

Practical patterns

• Use role descriptions to shape behavior - they act as system prompts.
• Add tools via the tool module to let agents take real actions.
• Log every turn; multi-agent traces are gold for analysis and debugging.

FAQ

Is it production-oriented? It is primarily a research/simulation framework, not a deployment platform.

Does it support local models? Yes - agents can use OpenAI-compatible endpoints, including local deployments.

Is it free? Yes - Apache-2.0 open source.

❓ FAQ

Is it production-oriented?

It is primarily a research/simulation framework, not a deployment platform.

Does it support local models?

Yes - agents can use OpenAI-compatible endpoints, including local deployments.