{"repo":"YSLAB-ai/scenario-lab","free":true,"listed":false,"github":"https://github.com/YSLAB-ai/scenario-lab","clone":"git clone https://github.com/YSLAB-ai/scenario-lab.git","description":"Experimental scenario analysis for real-life events forecasting with Codex or Claude","language":"Python","stars":296,"topics":["agent-tools","claude","codex","decision-support","forecasting","local-first","mcts","scenario-analysis","geopolitical-risk","market-forecasting"],"license":"MIT","category":"trading","readme_excerpt":"Scenario Lab 🌐 Languages: English 中文 Español Français 한국어 日本語 Experimental preview: Monte Carlo simulation for real-world events you can run locally with Codex or Claude. Scenario Lab is a Monte Carlo simulation engine for real-world events such as regional conflict, markets, politics, and company decision-making. Version: v0.1.0 public preview. Contributors: CONTRIBUTORS.md. What Is It Scenario Lab turns a developing situation into a structured simulation run. You give it the actors, the current development, and the evidence you want to approve. It then explores many branching futures with Monte Carlo tree search and ranks the branches it finds. At a high level, the engine works like this: - A domain pack defines the actors, phases, and action space for a type of event such as an interstate crisis, a market shock, or a company decision. - The approved evidence packet and the case framing are compiled into a belief state with actor behavior profiles and domain-specific fields. - The simulation engine runs mcts over that state, proposing actions, sampling transitions, and scoring resulting branches. - Reports turn the searched branches into readable outcomes, scenario families, and calibrated confidence labels. The same runtime can be used for regional conflict, market stress, political bargaining, and company-response cases because the domain packs carry different rules and state fields. Quickstart The full first-use flow is in docs/quickstart.md. The shortest local setup is","default_branch":null,"files":null,"tree":[],"storefront":"/r/YSLAB-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/YSLAB-ai/scenario-lab/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}