Projects / Bot / agent
Slay the Spire
STS-AI-Master
Reinforcement-learning decision system for Slay the Spire with headless multi-process training and protobuf messaging between processes.
Related
- AgenticSTS — Research testbed for long-horizon language-model agents on Slay the Spire 2, built around bounded, typed memory instead of a growing transcript. Reports 3/10 wins at Ascension 0 without learned skills and 6/10 with them.
- ai-spire — Slay the Spire 2 mod that asks an OpenAI-compatible model (DeepSeek by default) for decisions, adds Spire Codex card data to its prompts, and falls back to a rule engine when the API call fails.
- AutoClad — Imitation-learning pipeline on sts_lightspeed: it generates scenarios, records a scripted agent's choices, trains a network to copy them, and exports it for C++ inference. Early work aimed at A20 Ironclad.
- Bottled AI — Full-run bot on Communication Mod using hand-built priority lists for choices and a simulated search over hand orderings in combat. The README reports a 52% win rate with its best Watcher strategy.
- CombatSolver — In-game combat solver for Slay the Spire 2 single player. It simulates hands, draw piles, enemy intents, potions and relics across turns in the background, then recommends a line or plays it automatically.
- conquer-the-spire — C++17 Slay the Spire simulator covering Ironclad, Silent and Defect cards, intended for reinforcement learning with the PyTorch C++ API.