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

๐Ÿ“˜ Tutorials 2026-08-06 2 min read

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.

## 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 ```python 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.
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