A multi-agent simulation library for simulating and optimizing systems with multiple interacting agents.
Westworld is a multi-agent simulation library designed to simulate and optimize systems and environments where multiple agents interact. Inspired by Unity software and Unity ML Agents, it's adapted in Python. The goal is to simulate environments in various fields like logistics, retail, and epidemiology, providing pre-coded spatial environments and communication between agents. Optimization can be achieved using heuristics and Reinforcement Learning.
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Handle multi-step workflows autonomously
Example
Schedule meeting → Find time → Send invite → Confirm attendees
Save 5-10 hours/week on routine coordination tasks
Gather data from multiple sources and summarize
Example
Research competitor pricing across 5 websites, create comparison table
Reduce research time from hours to minutes
Analyze options and recommend actions
Example
Review 20 vendor proposals, score against criteria, rank top 3
Make data-driven decisions faster
AI agents combine large language models with tools, memory, and decision-making logic to autonomously complete multi-step tasks without constant human guidance.
Large language model for reasoning and decision-making
Understand tasks, plan steps, generate responses
APIs, databases, external services the agent can call
Take actions beyond text generation (search, compute, write files)
Short-term (conversation) and long-term (persistent) memory
Maintain context across interactions and learn from past actions
Decision engine for choosing next action
Plan multi-step workflows and handle errors/edge cases
Prerequisites
Steps
✓ Do
✗ Don't
Key Metrics
Optimization Tips
We compared Westworld with three neighbors in the same category; this one had the most concrete “what it does” framing.
Good discoverability: Westworld shows up in the agents directory with enough detail to pre-qualify buyers.
Solid agent profile: Westworld links out cleanly and the on-site reviews add signal beyond marketing copy.
I recommend Westworld for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
According to our evaluation, Westworld benefits from clear positioning — fewer buzzwords than typical agent landing pages.
Good discoverability: Westworld shows up in the agents directory with enough detail to pre-qualify buyers.
Westworld reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
We piloted Westworld for two weeks; the registry summary and category tag matched what the product actually emphasizes.
Solid agent profile: Westworld links out cleanly and the on-site reviews add signal beyond marketing copy.
Westworld reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
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Key Considerations
