TraceArena
Open-source AI World OS for real-world problems
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TraceArena - Open-source AI World OS for real-world problems

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TraceArena is an open-source AI World OS for simulating real-world problems. Define goals, resources, rules and tools, load a scenario pack, configure your LLM, and let multiple agents compete inside one world. Every observation, decision, action, consequence and settlement is visible and replayable. Build worlds for capital markets, city governance, drug discovery, logistics or robotics.

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Hunter
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Hi Product Hunt — I’m Tony, creator of TraceArena. Most agents are tested in chat, where they can sound right without changing a world. AI World OS gives them a defined world: goals, resources, rules, tools and an authoritative settlement. Load a scenario pack, connect your LLM, let agents compete over paths, and watch the full chain from evidence to outcome. Researchers, developers and domain experts can turn a real problem into a runnable world without building a simulator from scratch. Start with the no-key replay, then tell us what world you want to load next. TraceArena is open source under Apache 2.0.

Loaded a capital markets scenario and watched two agents actually settle trades based on the rules I set, the replay view made it super clear how decisions cascaded. Wish the docs covered more about tweaking the agent prompts though.

honestly this looks really cool, the replay piece is super useful. one thing that would help a lot is letting users pause a simulation and fork it from any specific decision point so you can test how a different agent choice changes outcomes. kind of like git branches but for agent trajectories.

ran a quick capital markets scenario with two competing agents and was surprised how readable the replay timeline is, you can actually follow why each side made a move. Wish the scenario pack library had a couple more ready-made worlds to poke at.

Loaded a small capital markets scenario and watched two agents negotiate over a trade, the replay view made it super easy to spot where one of them misread the order book. Honestly did not expect an open-source tool to feel this polished.