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Steve AI

Steve, a personalized AI agent model built to assist you

Modrinth cursed game-mechanics utility

Описание

Steve functions as an AI Agent — or an entire team of Agents if you enable multiple instances. You simply describe what you want, and Steve understands the context, forms a plan, and executes it. The concept is the same as natural-language code assistants, except here the “output” is not code: it's embodied Steves operating directly inside your Minecraft world. The interface is simple: press **K** to open the command panel and type your request. The agents handle everything — interpretation, planning, and in-game execution. Ask *“mine some iron”*, and the agent reasons about spawn depths, navigates to the correct layer, locates ore veins, and extracts resources. Request a *house*, and it evaluates available materials, generates an appropriate layout, and builds it block by block. Where things get truly interesting is multi-agent coordination. When multiple Steves work on the same task, they don’t just perform actions independently — they actively **collaborate**, preventing conflicts and optimizing workload distribution. Tell three agents to build a castle, and they’ll automatically partition the blueprint, assign sections among themselves, and construct it in parallel. These agents aren’t following scripted behaviors. They operate entirely from natural-language instructions, enabling: * **Resource extraction** with optimal mining strategies * **Autonomous building**, including layout planning and material management * **Combat and defense**, with threat assessment and team coordination * **Exploration and gathering** using dynamic pathfinding * **Collaborative execution**, with automatic load-balancing and conflict prevention --- ### **How It Works** Each Steve runs an agent loop: 1. Your command is sent to an LLM (powered by **Groq** for high-speed inference). 2. The LLM decomposes your request into structured game instructions. 3. The instructions execute using Minecraft’s actual mechanics. 4. If a step fails, the agent queries the LLM again to generate a new plan. --- ### **Multi-Agent Coordination** When multiple Steves work together, a dedicated coordination system ensures seamless team behavior: * Tasks are automatically divided into sections. * Each agent claims a portion of the work. * Agents avoid placing blocks in the same location. * If one finishes early, responsibilities are rebalanced. All coordination is handled server-side through a deterministic manager that tracks builds, assigns tasks, and prevents race conditions or inconsistent states.