Farmstopia AI ($FTA)
Recent developments:
10% of the initial token allocation is held by the creator.
Creator token stats last updated: Jul 21, 2025 14:26
The following is generated by an LLM:
Summary
rug pull
Analysis
Farmstopia AI ($FTA) presents significant risks. The creator holds 10% of tokens initially but receives **60% of total supply via allocations** (Team, Community Treasury, etc.), all immediately unlocked by August 2025. This extreme centralization and lack of vesting create a high risk of rug pull. Tokenomics show 500M/1B tokens funneled to the creator’s wallet via allocations meant for ecosystem/community purposes, indicating misaligned incentives. While the AI-driven game concept is ambitious and partially developed, GitHub repos are forks with minimal original code, and the Telegram community has only 3 members. Immediate token unlocks + excessive creator control make this project structurally unsafe.
Rating: 0
Generated with LLM: deepseek/deepseek-r1
LLM responses last updated: Jul 21, 2025 14:26
Original investment data:
# Farmstopia AI ($FTA)
URL on launchpad: https://app.virtuals.io/geneses/6899
Launched at: Mon, 21 Jul 2025 12:41:57 GMT
Launched through the launchpad: Virtuals Protocol
Launch status: GENESIS
## Token details and tokenomics
Token symbol: $FTA
Token supply: 1 billion
Creator initial number of tokens: Creator initial number of tokens: 100,000,000 (10% of token supply)
## Creator info
Creator address: 0x9b18a1D5F4F08470A6dA94c99d17B9bDDE8A6895
Creator on basescan.org: https://basescan.org/address/0x9b18a1D5F4F08470A6dA94c99d17B9bDDE8A6895#asset-tokens
Creator on virtuals.io: https://app.virtuals.io/profile/0x9b18a1D5F4F08470A6dA94c99d17B9bDDE8A6895
Creator on zerion.io: https://app.zerion.io/0x9b18a1D5F4F08470A6dA94c99d17B9bDDE8A6895/overview
Creator on debank.com: https://debank.com/profile/0x9b18a1D5F4F08470A6dA94c99d17B9bDDE8A6895
## Description at launch
Farmstopia is a cozy farming simulation game where AI drives the evolution of the world—not just the player.
Plant crops, raise animals, build your homestead, and explore a land that learns from your choices. Every tool, feature, and event is shaped by player behavior and guided by adaptive AI.
It’s not just a farm.
It’s a living, growing world.
🌱 AI-driven gameplay
🔨 Creative base-building
🐑 Community-shaped evolution
☕️ Slow life, smart systems
Welcome to the future of cozy games.
## Overview
In **farmstopia + AI**, AI agents are the driving force behind the game world, dynamically generating environments, managing biological behaviors, and interacting with players. By leveraging advanced AI technologies, the game offers an immersive and adaptive experience. Below are the key technologies and methods used to implement these AI agents:
### [](https://farmstopia-ai.gitbook.io/docs/content/quickstart#undefined) 
###
**1. Behavior Trees** 
Behavior trees are the core tool for AI decision-making, organizing different action nodes in a hierarchical manner. Each node represents a specific action or behavior, such as foraging, resting, or fighting.
**Applications**:
* **Survival Behavior**: When an AI agent detects hunger or fatigue, the behavior tree will decide what to do next, such as finding food, resting, or drinking.
* **Combat and Defense**: The AI can choose different strategies during combat, such as attacking, evading, or setting traps.
**2. Finite State Machines (FSM)** 
A finite state machine is a model used to describe AI behavior through multiple states and transitions. The AI agent switches between predefined states, such as from "rest" to "searching for food."
**Applications**:
* **Dynamic Behavior**: AI agents will shift between different states depending on environmental and internal conditions (e.g., hunger, thirst, fatigue), such as switching from "rest" to "find water."
* **Animal Behavior**: Animal AI switches between "escape" and "attack" states depending on player actions and environmental threats.
**3. Reinforcement Learning (RL)** 
Reinforcement learning is a type of machine learning where AI agents learn optimal behaviors by interacting with the environment and receiving rewards or penalties for their actions.
**Applications**:
* **Resource Management and Decision Making**: AI learns how to manage resources more efficiently, such as deciding when to plant crops, harvest, craft tools, or build structures.
* **Adaptive Behavior**: The AI can optimize its behavior through trial and error, adapting to new challenges and dynamic environments.
**4. Genetic Algorithms (GA)** 
Genetic algorithms mimic the process of biological evolution by using selection, crossover, and mutation to optimize AI behavior. Through this, AI agents improve over time, learning better strategies for survival and interaction.
**Applications**:
* **Personalization of AI**: AI agents can evolve based on player interactions, adjusting to different playstyles and needs for a more personalized experience.
* **Environmental Adaptation**: AI evolves to adapt to varying environments, selecting the most efficient survival strategies through optimization.
**5. Natural Language Processing (NLP)** 
Natural Language Processing allows AI to understand and generate human language, enhancing player interactions with the AI agents.
**Applications**:
* **Dialogue System**: Players can communicate with AI agents through text or voice to exchange resources, ask for help, or receive tasks. NLP enables the AI to understand and respond appropriately.
* **Dynamic Quest Generation**: AI can generate tasks or missions based on player input, such as giving survival tips or asking the player to complete specific challenges.
**6. Neural Networks & Deep Learning** 
Neural networks and deep learning techniques simulate the brain's neural structure, enabling AI agents to recognize patterns, make decisions, and predict future actions.
**Applications**:
* **Behavior Prediction and Planning**: AI agents can predict animal or player behaviors and develop strategies accordingly, optimizing their survival or combat tactics.
* **Resource Allocation**: Deep learning helps AI manage resources, optimizing storage and usage based on patterns and needs.
**7. Multi-Agent Systems (MAS)** 
Multi-agent systems allow multiple AI agents to work independently or collaboratively within the same environment. Each agent has its goals and behaviors, but they can interact, share resources, or compete.
**Applications**:
* **Cooperation and Competition**: AI agents can form teams to defend bases, hunt, or share resources, or they may compete for rare resources.
* **Swarm Behavior**: Animal AI can simulate group behaviors, like pack hunting or flock flying, where agents work together to achieve a goal.
**8. Computer Vision** 
Computer vision enables AI agents to interpret and understand their environment by analyzing images or video, detecting objects, resources, and threats.
**Applications**:
* **Environmental Awareness**: AI agents can visually detect food, water, obstacles, and other key elements in the environment, helping them make decisions.
* **Tracking and Combat**: AI agents use vision processing to lock onto targets, track animals or players, and execute combat strategies effectively.
**9. Procedural Generation** 
Procedural generation algorithms automatically create the game's world, terrain, resources, and tasks, ensuring a unique experience for each playthrough.
**Applications**:
* **World Creation**: The landscape, environment, and resource points are generated dynamically, ensuring that every player's experience is fresh and different.
* **Quest Generation**: AI uses procedural generation to create new quests, ensuring that players face different challenges each time they play.
**Roadmap:** 
Farmstopia is an AI-driven survival simulation game where players must navigate a world controlled by AI Agents. The ecosystem includes animals, plants, and minerals, creating a dynamic environment where survival depends on managing hunger, fatigue, thirst, and shelter. Below is the development roadmap outlining key milestones and future expansions.
### [](https://farmstopia-ai.gitbook.io/docs/roadmap#phase-1-core-system-development-q3-2025)
📌 Phase 1: Core System Development (Q3 2025 )
✅ Survival Mechanics – Implement hunger, thirst, fatigue, and energy systems to create realistic survival challenges.
✅ Resource Gathering & Crafting – Enable players to collect wood, minerals, and food to craft essential survival tools.
✅ AI-Driven Dynamic Ecosystem – AI controls the behavior of plants, animals, and minerals, forming a self-sustaining ecosystem.
✅ Combat System – Introduce weapons and combat mechanics, allowing players to defend themselves against AI-driven threats.
✅ Basic Building System – Allow players to construct shelters, storage units, and simple defenses.
***
### [](https://farmstopia-ai.gitbook.io/docs/roadmap#phase-2-ai-interaction-and-world-expansion-q4-2025)
🚀 Phase 2: AI Interaction & World Expansion (Q4 2025 )
🔄 Intelligent NPC Companions – AI-controlled companions assist players in hunting, farming, and building.
🌍 Dynamic Weather & Day/Night Cycle – Weather patterns impact survival, affecting crops and player conditions.
🏡 Advanced Construction System – Introduce complex buildings, fences, cooking stations, and defensive structures.
⚒️ Item Durability & Crafting Evolution – Tools and weapons degrade over time, requiring repairs and upgrades.
📦 Trading System – AI-powered marketplaces allow players to exchange goods and resources.
***
### [](https://farmstopia-ai.gitbook.io/docs/roadmap#phase-3-multiplayer-and-evolving-ecosystem-q1-2026)
🌿 Phase 3: Multiplayer & Evolving Ecosystem (Q1 2026)
👥 Multiplayer Mode – Enable cooperative survival where players can form teams and share resources.
🐾 AI-Driven Wildlife Evolution – Wild animals adapt to player behavior, developing unique survival strategies.
👨🌾 Automated Farming & Livestock Management – AI-assisted farms help automate crop cultivation and animal care.
🎯 Quest & Objective System – Introduce missions that reward players for completing survival challenges.
***
### [](https://farmstopia-ai.gitbook.io/docs/roadmap#phase-4-immersive-gameplay-enhancements-q2-2026)
🏹 Phase 4: Immersive Gameplay Enhancements (Q2 2026)
🏛 AI-Powered Settlements – Discover AI-generated villages where NPCs offer quests and trade opportunities.
🧩 Adaptive AI Evolution – AI agents learn from player actions and modify their behaviors accordingly.
🔮 Procedural Map Generation – Every new game session features a unique AI-generated world.
💰 Economy & Item Trading – Expand tradeable items and allow players to create their own markets.
***
### [](https://farmstopia-ai.gitbook.io/docs/roadmap#long-term-vision-the-wildcraft-ecosystem-beyond-2026)
🌎 Long-Term Vision: The Farmstopia Ecosystem (Beyond 2026)
💡 Self-Learning AI Agents – AI evolves based on player decisions, personalizing interactions over time.
⚔️ PvP & Territory Battles – Players can engage in large-scale AI-driven territorial conflicts.
🌌 Open-World Exploration – Introduce new biomes such as mountains, deserts, and oceans for expanded gameplay.
🛠️ UGC (User-Generated Content) – Support player-created AI behaviors, structures, and challenges.
**Solutions:**
Farmstopia+ AI Solution Overview
1\. Core Features & Overview
* AI-driven Ecosystem: The game world is created and controlled by AI agents, managing a dynamic ecosystem of animals, plants, and minerals. Every resource, animal, or environmental behavior is subject to AI-driven changes and interactions.
* Survival Mechanisms: Players must manage hunger, thirst, fatigue, and rest, gathering resources through hunting, foraging, crafting, and building to survive in the harsh environment.
* AI Agent Roles: In-game AI agents (such as hunters, farmers, builders) possess adaptive behaviors and provide assistance or collaborate with players, enhancing the interactivity and immersion.
* Dynamic Interactions & Challenges: Players will interact with AI-driven animals and ecosystems, facing challenges such as predators tracking the player, plant growth, climate changes, and more.
***
2\. Product Development Process
The development process is structured into the following stages:
 Concept Design & Planning
* Requirements Analysis: Identify the core gameplay, target audience, AI agent functionalities, and ecosystem design.
* Technical Architecture: Design the integration between the AI system and the game engine to ensure that AI agents control the ecosystem and resource distribution dynamically.
* Prototype Development: Create a game prototype to test core survival mechanics and AI behavior models to ensure they are viable.
Integration of AI System & Game Engine
* Ecosystem Simulation: Use AI algorithms to simulate species behaviors, resource growth, consumption, and environmental changes (e.g., weather, seasons).
* Adaptive AI Behavior: AI agents (such as hunters and farmers) have self-management and interaction abilities to make dynamic decisions based on the player’s actions.
* Resource Management & Strategy: AI agents manage in-game resources (food, tools, building materials), optimizing resource allocation based on survival needs.
Game Content Development & Optimization
* World Building & Ecosystem Design: Design diverse biomes, terrains, and natural environments, offering players space for exploration and survival challenges.
* Character Interaction: Develop interactions among AI agents, such as teamwork between a hunter and a builder to fortify defenses.
* Combat & Defense Systems: Design AI-driven hostile creatures (e.g., wild animals, enemy players) with behaviors that enhance the game’s combat challenge.
Testing & Feedback
* Internal Testing: Test the behaviors of AI agents, ecosystem balance, and player interactions to ensure the game is stable and fair.
* User Feedback: Gather feedback during beta testing to refine AI behaviors and survival mechanics, ensuring a smooth and engaging gameplay experience.
* Optimization & Bug Fixes: Optimize AI algorithms, fix bugs, and improve performance based on testing results.
Release & Post-Launch Maintenance
* Pre-release Preparations: Finalize the game package and prepare server architecture to ensure smooth player experiences upon launch.
* Release & Launch: Publish the game on platforms, monitor player activity, and ensure server stability during launch.
* Ongoing Updates & Optimization: Regularly update content, optimize the AI system, and release new features or expansions based on player feedback.
***
3\. Service Process
Ensure high-quality support and service for players throughout the gaming experience. The service process includes key steps like:
Player Registration & Login
* Account System: Players register and log in to save personalized game progress and ensure data synchronization.
* Security Assurance: Implement secure account protection mechanisms to safeguard player information and game progress.
Customer Support & Community Engagement
* FAQs & Help Documentation: Provide detailed guides on gameplay mechanics, AI system interactions, and survival strategies.
* Live Support & Issue Resolution: Offer real-time customer support to address any issues players may encounter in the game.
* Community Interaction: Maintain active communication with players via social platforms (Discord, Twitter, etc.) to share game tips, updates, and engage in community events.
Game Operations & Content Updates
* Content Expansion: Regularly release new versions with new AI agent types, resources, biomes, and creatures to keep the game fresh and engaging.
* Events & Activities: Host limited-time events or collaborative quests to encourage players to return to the game, increasing player retention.
* Data Analysis & Feedback: Analyze player behavior data to optimize the AI system and ensure the game remains balanced and fun.
Game Operations Monitoring & Performance Management
* Server Maintenance: Conduct regular server optimization and maintenance to ensure the game runs smoothly and avoid downtime.
* Monitoring & Reporting: Monitor the game environment and AI behavior, addressing any issues as they arise and providing timely updates.
***
4\. Ongoing AI System Optimization & Evolution
Continuous Optimization of AI Agents:
* Behavior Learning: Use machine learning to continuously improve AI agents’ intelligence, enabling them to adapt and make more complex and realistic decisions.
* Increased Environmental Depth & Complexity: Enhance the complexity of the ecosystem by adding more dynamic elements such as weather systems, ecosystem interactions, etc.
* Cross-AI Collaboration: Improve teamwork and competition between AI agents, creating a more dynamic and engaging world where AI behavior can influence the game’s difficulty.
Website [https://farmstopia.com/](https://farmstopia.com/) 
PlayGame [https://game.farmstopia.com/](https://game.farmstopia.com/)
Document [https://farmstopia-ai.gitbook.io/docs](https://farmstopia-ai.gitbook.io/docs)
GitHub [https://github.com/FarmstopiaAI](https://github.com/FarmstopiaAI)
Twitter [https://x.com/farmstopia](https://x.com/farmstopia) 
Telegram [https://t.me/farmstopia\_ai](https://t.me/farmstopia_ai)
## Additional information extracted from relevant pages
<fetched_info>
""" https://farmstopia.com/assets/images/banner-slide-4.jpg
Skipped image/binary URL (https://farmstopia.com/assets/images/banner-slide-4.jpg) - likely not text content
"""
""" https://x.com/farmstopia
Skipped social media URL (https://x.com/farmstopia) - requires authentication
"""
""" [Creator profile on Virtuals Protocol](https://api.virtuals.io/api/profile/0x9b18a1D5F4F08470A6dA94c99d17B9bDDE8A6895)
{
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"id": 476173,
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"userSocials": [
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"provider": "metamask",
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"metadata": null
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"socials": null
}
}
"""
""" https://farmstopia-ai.gitbook.io/docs/roadmap#phase-2-ai-interaction-and-world-expansion-q4-2025
farmstopia is an AI-driven survival simulation game where players must navigate a world controlled by AI Agents. The ecosystem includes animals, plants, and minerals, creating a dynamic environment where survival depends on managing hunger, fatigue, thirst, and shelter. Below is the development roadmap outlining key milestones and future expansions.
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-1-core-system-development-q3-2025) **📌 Phase 1: Core System Development (Q3 2025 )**
✅ **Survival Mechanics** – Implement hunger, thirst, fatigue, and energy systems to create realistic survival challenges.
✅ **Resource Gathering & Crafting** – Enable players to collect wood, minerals, and food to craft essential survival tools.
✅ **AI-Driven Dynamic Ecosystem** – AI controls the behavior of plants, animals, and minerals, forming a self-sustaining ecosystem.
✅ **Combat System** – Introduce weapons and combat mechanics, allowing players to defend themselves against AI-driven threats.
✅ **Basic Building System** – Allow players to construct shelters, storage units, and simple defenses.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-2-ai-interaction-and-world-expansion-q4-2025) **🚀 Phase 2: AI Interaction & World Expansion (Q4 2025 )**
🔄 **Intelligent NPC Companions** – AI-controlled companions assist players in hunting, farming, and building.
🌍 **Dynamic Weather & Day/Night Cycle** – Weather patterns impact survival, affecting crops and player conditions.
🏡 **Advanced Construction System** – Introduce complex buildings, fences, cooking stations, and defensive structures.
⚒️ **Item Durability & Crafting Evolution** – Tools and weapons degrade over time, requiring repairs and upgrades.
📦 **Trading System** – AI-powered marketplaces allow players to exchange goods and resources.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-3-multiplayer-and-evolving-ecosystem-q1-2026) **🌿 Phase 3: Multiplayer & Evolving Ecosystem (Q1 2026)**
👥 **Multiplayer Mode** – Enable cooperative survival where players can form teams and share resources.
🐾 **AI-Driven Wildlife Evolution** – Wild animals adapt to player behavior, developing unique survival strategies.
👨🌾 **Automated Farming & Livestock Management** – AI-assisted farms help automate crop cultivation and animal care.
🎯 **Quest & Objective System** – Introduce missions that reward players for completing survival challenges.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-4-immersive-gameplay-enhancements-q2-2026) **🏹 Phase 4: Immersive Gameplay Enhancements (Q2 2026)**
🏛 **AI-Powered Settlements** – Discover AI-generated villages where NPCs offer quests and trade opportunities.
🧩 **Adaptive AI Evolution** – AI agents learn from player actions and modify their behaviors accordingly.
🔮 **Procedural Map Generation** – Every new game session features a unique AI-generated world.
💰 **Economy & Item Trading** – Expand tradeable items and allow players to create their own markets.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#long-term-vision-the-wildcraft-ecosystem-beyond-2026) **🌎 Long-Term Vision: The Wildcraft Ecosystem (Beyond 2026)**
💡 **Self-Learning AI Agents** – AI evolves based on player decisions, personalizing interactions over time.
⚔️ **PvP & Territory Battles** – Players can engage in large-scale AI-driven territorial conflicts.
🌌 **Open-World Exploration** – Introduce new biomes such as mountains, deserts, and oceans for expanded gameplay.
🛠️ **UGC (User-Generated Content)** – Support player-created AI behaviors, structures, and challenges.
[PreviousBuilding](https://farmstopia-ai.gitbook.io/docs/content/building) [NextSolutions](https://farmstopia-ai.gitbook.io/docs/solutions)
Last updated 4 minutes ago
"""
""" https://farmstopia-ai.gitbook.io/docs/content/quickstart#undefined
In **farmstopia + AI**, AI agents are the driving force behind the game world, dynamically generating environments, managing biological behaviors, and interacting with players. By leveraging advanced AI technologies, the game offers an immersive and adaptive experience. Below are the key technologies and methods used to implement these AI agents:
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/content/quickstart\#undefined)
**1\. Behavior Trees**
Behavior trees are the core tool for AI decision-making, organizing different action nodes in a hierarchical manner. Each node represents a specific action or behavior, such as foraging, resting, or fighting.
**Applications**:
- **Survival Behavior**: When an AI agent detects hunger or fatigue, the behavior tree will decide what to do next, such as finding food, resting, or drinking.
- **Combat and Defense**: The AI can choose different strategies during combat, such as attacking, evading, or setting traps.
**2\. Finite State Machines (FSM)**
A finite state machine is a model used to describe AI behavior through multiple states and transitions. The AI agent switches between predefined states, such as from "rest" to "searching for food."
**Applications**:
- **Dynamic Behavior**: AI agents will shift between different states depending on environmental and internal conditions (e.g., hunger, thirst, fatigue), such as switching from "rest" to "find water."
- **Animal Behavior**: Animal AI switches between "escape" and "attack" states depending on player actions and environmental threats.
**3\. Reinforcement Learning (RL)**
Reinforcement learning is a type of machine learning where AI agents learn optimal behaviors by interacting with the environment and receiving rewards or penalties for their actions.
**Applications**:
- **Resource Management and Decision Making**: AI learns how to manage resources more efficiently, such as deciding when to plant crops, harvest, craft tools, or build structures.
- **Adaptive Behavior**: The AI can optimize its behavior through trial and error, adapting to new challenges and dynamic environments.
**4\. Genetic Algorithms (GA)**
Genetic algorithms mimic the process of biological evolution by using selection, crossover, and mutation to optimize AI behavior. Through this, AI agents improve over time, learning better strategies for survival and interaction.
**Applications**:
- **Personalization of AI**: AI agents can evolve based on player interactions, adjusting to different playstyles and needs for a more personalized experience.
- **Environmental Adaptation**: AI evolves to adapt to varying environments, selecting the most efficient survival strategies through optimization.
**5\. Natural Language Processing (NLP)**
Natural Language Processing allows AI to understand and generate human language, enhancing player interactions with the AI agents.
**Applications**:
- **Dialogue System**: Players can communicate with AI agents through text or voice to exchange resources, ask for help, or receive tasks. NLP enables the AI to understand and respond appropriately.
- **Dynamic Quest Generation**: AI can generate tasks or missions based on player input, such as giving survival tips or asking the player to complete specific challenges.
**6\. Neural Networks & Deep Learning**
Neural networks and deep learning techniques simulate the brain's neural structure, enabling AI agents to recognize patterns, make decisions, and predict future actions.
**Applications**:
- **Behavior Prediction and Planning**: AI agents can predict animal or player behaviors and develop strategies accordingly, optimizing their survival or combat tactics.
- **Resource Allocation**: Deep learning helps AI manage resources, optimizing storage and usage based on patterns and needs.
**7\. Multi-Agent Systems (MAS)**
Multi-agent systems allow multiple AI agents to work independently or collaboratively within the same environment. Each agent has its goals and behaviors, but they can interact, share resources, or compete.
**Applications**:
- **Cooperation and Competition**: AI agents can form teams to defend bases, hunt, or share resources, or they may compete for rare resources.
- **Swarm Behavior**: Animal AI can simulate group behaviors, like pack hunting or flock flying, where agents work together to achieve a goal.
**8\. Computer Vision**
Computer vision enables AI agents to interpret and understand their environment by analyzing images or video, detecting objects, resources, and threats.
**Applications**:
- **Environmental Awareness**: AI agents can visually detect food, water, obstacles, and other key elements in the environment, helping them make decisions.
- **Tracking and Combat**: AI agents use vision processing to lock onto targets, track animals or players, and execute combat strategies effectively.
**9\. Procedural Generation**
Procedural generation algorithms automatically create the game's world, terrain, resources, and tasks, ensuring a unique experience for each playthrough.
**Applications**:
- **World Creation**: The landscape, environment, and resource points are generated dynamically, ensuring that every player's experience is fresh and different.
- **Quest Generation**: AI uses procedural generation to create new quests, ensuring that players face different challenges each time they play.
[PreviousWelcome](https://farmstopia-ai.gitbook.io/docs) [NextLife Attribute](https://farmstopia-ai.gitbook.io/docs/content/life-attribute)
Last updated 11 hours ago
"""
""" https://farmstopia-ai.gitbook.io/docs/roadmap#phase-1-core-system-development-q3-2025
farmstopia is an AI-driven survival simulation game where players must navigate a world controlled by AI Agents. The ecosystem includes animals, plants, and minerals, creating a dynamic environment where survival depends on managing hunger, fatigue, thirst, and shelter. Below is the development roadmap outlining key milestones and future expansions.
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-1-core-system-development-q3-2025) **📌 Phase 1: Core System Development (Q3 2025 )**
✅ **Survival Mechanics** – Implement hunger, thirst, fatigue, and energy systems to create realistic survival challenges.
✅ **Resource Gathering & Crafting** – Enable players to collect wood, minerals, and food to craft essential survival tools.
✅ **AI-Driven Dynamic Ecosystem** – AI controls the behavior of plants, animals, and minerals, forming a self-sustaining ecosystem.
✅ **Combat System** – Introduce weapons and combat mechanics, allowing players to defend themselves against AI-driven threats.
✅ **Basic Building System** – Allow players to construct shelters, storage units, and simple defenses.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-2-ai-interaction-and-world-expansion-q4-2025) **🚀 Phase 2: AI Interaction & World Expansion (Q4 2025 )**
🔄 **Intelligent NPC Companions** – AI-controlled companions assist players in hunting, farming, and building.
🌍 **Dynamic Weather & Day/Night Cycle** – Weather patterns impact survival, affecting crops and player conditions.
🏡 **Advanced Construction System** – Introduce complex buildings, fences, cooking stations, and defensive structures.
⚒️ **Item Durability & Crafting Evolution** – Tools and weapons degrade over time, requiring repairs and upgrades.
📦 **Trading System** – AI-powered marketplaces allow players to exchange goods and resources.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-3-multiplayer-and-evolving-ecosystem-q1-2026) **🌿 Phase 3: Multiplayer & Evolving Ecosystem (Q1 2026)**
👥 **Multiplayer Mode** – Enable cooperative survival where players can form teams and share resources.
🐾 **AI-Driven Wildlife Evolution** – Wild animals adapt to player behavior, developing unique survival strategies.
👨🌾 **Automated Farming & Livestock Management** – AI-assisted farms help automate crop cultivation and animal care.
🎯 **Quest & Objective System** – Introduce missions that reward players for completing survival challenges.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-4-immersive-gameplay-enhancements-q2-2026) **🏹 Phase 4: Immersive Gameplay Enhancements (Q2 2026)**
🏛 **AI-Powered Settlements** – Discover AI-generated villages where NPCs offer quests and trade opportunities.
🧩 **Adaptive AI Evolution** – AI agents learn from player actions and modify their behaviors accordingly.
🔮 **Procedural Map Generation** – Every new game session features a unique AI-generated world.
💰 **Economy & Item Trading** – Expand tradeable items and allow players to create their own markets.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#long-term-vision-the-wildcraft-ecosystem-beyond-2026) **🌎 Long-Term Vision: The Wildcraft Ecosystem (Beyond 2026)**
💡 **Self-Learning AI Agents** – AI evolves based on player decisions, personalizing interactions over time.
⚔️ **PvP & Territory Battles** – Players can engage in large-scale AI-driven territorial conflicts.
🌌 **Open-World Exploration** – Introduce new biomes such as mountains, deserts, and oceans for expanded gameplay.
🛠️ **UGC (User-Generated Content)** – Support player-created AI behaviors, structures, and challenges.
[PreviousBuilding](https://farmstopia-ai.gitbook.io/docs/content/building) [NextSolutions](https://farmstopia-ai.gitbook.io/docs/solutions)
Last updated 4 minutes ago
"""
""" https://farmstopia-ai.gitbook.io/docs/roadmap#phase-3-multiplayer-and-evolving-ecosystem-q1-2026
farmstopia is an AI-driven survival simulation game where players must navigate a world controlled by AI Agents. The ecosystem includes animals, plants, and minerals, creating a dynamic environment where survival depends on managing hunger, fatigue, thirst, and shelter. Below is the development roadmap outlining key milestones and future expansions.
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-1-core-system-development-q3-2025) **📌 Phase 1: Core System Development (Q3 2025 )**
✅ **Survival Mechanics** – Implement hunger, thirst, fatigue, and energy systems to create realistic survival challenges.
✅ **Resource Gathering & Crafting** – Enable players to collect wood, minerals, and food to craft essential survival tools.
✅ **AI-Driven Dynamic Ecosystem** – AI controls the behavior of plants, animals, and minerals, forming a self-sustaining ecosystem.
✅ **Combat System** – Introduce weapons and combat mechanics, allowing players to defend themselves against AI-driven threats.
✅ **Basic Building System** – Allow players to construct shelters, storage units, and simple defenses.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-2-ai-interaction-and-world-expansion-q4-2025) **🚀 Phase 2: AI Interaction & World Expansion (Q4 2025 )**
🔄 **Intelligent NPC Companions** – AI-controlled companions assist players in hunting, farming, and building.
🌍 **Dynamic Weather & Day/Night Cycle** – Weather patterns impact survival, affecting crops and player conditions.
🏡 **Advanced Construction System** – Introduce complex buildings, fences, cooking stations, and defensive structures.
⚒️ **Item Durability & Crafting Evolution** – Tools and weapons degrade over time, requiring repairs and upgrades.
📦 **Trading System** – AI-powered marketplaces allow players to exchange goods and resources.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-3-multiplayer-and-evolving-ecosystem-q1-2026) **🌿 Phase 3: Multiplayer & Evolving Ecosystem (Q1 2026)**
👥 **Multiplayer Mode** – Enable cooperative survival where players can form teams and share resources.
🐾 **AI-Driven Wildlife Evolution** – Wild animals adapt to player behavior, developing unique survival strategies.
👨🌾 **Automated Farming & Livestock Management** – AI-assisted farms help automate crop cultivation and animal care.
🎯 **Quest & Objective System** – Introduce missions that reward players for completing survival challenges.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-4-immersive-gameplay-enhancements-q2-2026) **🏹 Phase 4: Immersive Gameplay Enhancements (Q2 2026)**
🏛 **AI-Powered Settlements** – Discover AI-generated villages where NPCs offer quests and trade opportunities.
🧩 **Adaptive AI Evolution** – AI agents learn from player actions and modify their behaviors accordingly.
🔮 **Procedural Map Generation** – Every new game session features a unique AI-generated world.
💰 **Economy & Item Trading** – Expand tradeable items and allow players to create their own markets.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#long-term-vision-the-wildcraft-ecosystem-beyond-2026) **🌎 Long-Term Vision: The Wildcraft Ecosystem (Beyond 2026)**
💡 **Self-Learning AI Agents** – AI evolves based on player decisions, personalizing interactions over time.
⚔️ **PvP & Territory Battles** – Players can engage in large-scale AI-driven territorial conflicts.
🌌 **Open-World Exploration** – Introduce new biomes such as mountains, deserts, and oceans for expanded gameplay.
🛠️ **UGC (User-Generated Content)** – Support player-created AI behaviors, structures, and challenges.
[PreviousBuilding](https://farmstopia-ai.gitbook.io/docs/content/building) [NextSolutions](https://farmstopia-ai.gitbook.io/docs/solutions)
Last updated 4 minutes ago
"""
""" https://farmstopia-ai.gitbook.io/docs/~gitbook/image?url=https%3A%2F%2F2583390156-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252F1EIB6CIqRTIUFwVVEXsu%252Fuploads%252FTsnTr3lZXvbyefT2LuBj%252FBuilding.webp%3Falt%3Dmedia%26token%3D386be246-8bad-4e13-bea1-48bc6d8635d5
```
Missing url/sign parameters
```
"""
""" https://t.me/farmstopia
[Download](https://telegram.org/dl?tme=b82fe1fdddda6dea26_9485878948478492540)
If you have **Telegram**, you can contact [@farmstopia](tg://resolve?domain=farmstopia) right away.
[Send Message](tg://resolve?domain=farmstopia)
"""
""" https://t.me/farmstopia_ai
[Download](https://telegram.org/dl?tme=5396c63789172c3d99_15201495304494886812)
[](tg://resolve?domain=farmstopia_ai)
Farmstopia
3 members
Break the AI rules to gather, grow, and build your dream farm from the ground up!
[View in Telegram](tg://resolve?domain=farmstopia_ai)
If you have **Telegram**, you can view and join
**Farmstopia** right away.
"""
""" https://farmstopia-ai.gitbook.io/docs/roadmap#phase-4-immersive-gameplay-enhancements-q2-2026
farmstopia is an AI-driven survival simulation game where players must navigate a world controlled by AI Agents. The ecosystem includes animals, plants, and minerals, creating a dynamic environment where survival depends on managing hunger, fatigue, thirst, and shelter. Below is the development roadmap outlining key milestones and future expansions.
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-1-core-system-development-q3-2025) **📌 Phase 1: Core System Development (Q3 2025 )**
✅ **Survival Mechanics** – Implement hunger, thirst, fatigue, and energy systems to create realistic survival challenges.
✅ **Resource Gathering & Crafting** – Enable players to collect wood, minerals, and food to craft essential survival tools.
✅ **AI-Driven Dynamic Ecosystem** – AI controls the behavior of plants, animals, and minerals, forming a self-sustaining ecosystem.
✅ **Combat System** – Introduce weapons and combat mechanics, allowing players to defend themselves against AI-driven threats.
✅ **Basic Building System** – Allow players to construct shelters, storage units, and simple defenses.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-2-ai-interaction-and-world-expansion-q4-2025) **🚀 Phase 2: AI Interaction & World Expansion (Q4 2025 )**
🔄 **Intelligent NPC Companions** – AI-controlled companions assist players in hunting, farming, and building.
🌍 **Dynamic Weather & Day/Night Cycle** – Weather patterns impact survival, affecting crops and player conditions.
🏡 **Advanced Construction System** – Introduce complex buildings, fences, cooking stations, and defensive structures.
⚒️ **Item Durability & Crafting Evolution** – Tools and weapons degrade over time, requiring repairs and upgrades.
📦 **Trading System** – AI-powered marketplaces allow players to exchange goods and resources.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-3-multiplayer-and-evolving-ecosystem-q1-2026) **🌿 Phase 3: Multiplayer & Evolving Ecosystem (Q1 2026)**
👥 **Multiplayer Mode** – Enable cooperative survival where players can form teams and share resources.
🐾 **AI-Driven Wildlife Evolution** – Wild animals adapt to player behavior, developing unique survival strategies.
👨🌾 **Automated Farming & Livestock Management** – AI-assisted farms help automate crop cultivation and animal care.
🎯 **Quest & Objective System** – Introduce missions that reward players for completing survival challenges.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-4-immersive-gameplay-enhancements-q2-2026) **🏹 Phase 4: Immersive Gameplay Enhancements (Q2 2026)**
🏛 **AI-Powered Settlements** – Discover AI-generated villages where NPCs offer quests and trade opportunities.
🧩 **Adaptive AI Evolution** – AI agents learn from player actions and modify their behaviors accordingly.
🔮 **Procedural Map Generation** – Every new game session features a unique AI-generated world.
💰 **Economy & Item Trading** – Expand tradeable items and allow players to create their own markets.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#long-term-vision-the-wildcraft-ecosystem-beyond-2026) **🌎 Long-Term Vision: The Wildcraft Ecosystem (Beyond 2026)**
💡 **Self-Learning AI Agents** – AI evolves based on player decisions, personalizing interactions over time.
⚔️ **PvP & Territory Battles** – Players can engage in large-scale AI-driven territorial conflicts.
🌌 **Open-World Exploration** – Introduce new biomes such as mountains, deserts, and oceans for expanded gameplay.
🛠️ **UGC (User-Generated Content)** – Support player-created AI behaviors, structures, and challenges.
[PreviousBuilding](https://farmstopia-ai.gitbook.io/docs/content/building) [NextSolutions](https://farmstopia-ai.gitbook.io/docs/solutions)
Last updated 1 hour ago
"""
""" https://farmstopia-ai.gitbook.io/docs/roadmap#long-term-vision-the-wildcraft-ecosystem-beyond-2026
farmstopia is an AI-driven survival simulation game where players must navigate a world controlled by AI Agents. The ecosystem includes animals, plants, and minerals, creating a dynamic environment where survival depends on managing hunger, fatigue, thirst, and shelter. Below is the development roadmap outlining key milestones and future expansions.
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-1-core-system-development-q3-2025) **📌 Phase 1: Core System Development (Q3 2025 )**
✅ **Survival Mechanics** – Implement hunger, thirst, fatigue, and energy systems to create realistic survival challenges.
✅ **Resource Gathering & Crafting** – Enable players to collect wood, minerals, and food to craft essential survival tools.
✅ **AI-Driven Dynamic Ecosystem** – AI controls the behavior of plants, animals, and minerals, forming a self-sustaining ecosystem.
✅ **Combat System** – Introduce weapons and combat mechanics, allowing players to defend themselves against AI-driven threats.
✅ **Basic Building System** – Allow players to construct shelters, storage units, and simple defenses.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-2-ai-interaction-and-world-expansion-q4-2025) **🚀 Phase 2: AI Interaction & World Expansion (Q4 2025 )**
🔄 **Intelligent NPC Companions** – AI-controlled companions assist players in hunting, farming, and building.
🌍 **Dynamic Weather & Day/Night Cycle** – Weather patterns impact survival, affecting crops and player conditions.
🏡 **Advanced Construction System** – Introduce complex buildings, fences, cooking stations, and defensive structures.
⚒️ **Item Durability & Crafting Evolution** – Tools and weapons degrade over time, requiring repairs and upgrades.
📦 **Trading System** – AI-powered marketplaces allow players to exchange goods and resources.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-3-multiplayer-and-evolving-ecosystem-q1-2026) **🌿 Phase 3: Multiplayer & Evolving Ecosystem (Q1 2026)**
👥 **Multiplayer Mode** – Enable cooperative survival where players can form teams and share resources.
🐾 **AI-Driven Wildlife Evolution** – Wild animals adapt to player behavior, developing unique survival strategies.
👨🌾 **Automated Farming & Livestock Management** – AI-assisted farms help automate crop cultivation and animal care.
🎯 **Quest & Objective System** – Introduce missions that reward players for completing survival challenges.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#phase-4-immersive-gameplay-enhancements-q2-2026) **🏹 Phase 4: Immersive Gameplay Enhancements (Q2 2026)**
🏛 **AI-Powered Settlements** – Discover AI-generated villages where NPCs offer quests and trade opportunities.
🧩 **Adaptive AI Evolution** – AI agents learn from player actions and modify their behaviors accordingly.
🔮 **Procedural Map Generation** – Every new game session features a unique AI-generated world.
💰 **Economy & Item Trading** – Expand tradeable items and allow players to create their own markets.
* * *
### [Direct link to heading](https://farmstopia-ai.gitbook.io/docs/roadmap\#long-term-vision-the-wildcraft-ecosystem-beyond-2026) **🌎 Long-Term Vision: The Wildcraft Ecosystem (Beyond 2026)**
💡 **Self-Learning AI Agents** – AI evolves based on player decisions, personalizing interactions over time.
⚔️ **PvP & Territory Battles** – Players can engage in large-scale AI-driven territorial conflicts.
🌌 **Open-World Exploration** – Introduce new biomes such as mountains, deserts, and oceans for expanded gameplay.
🛠️ **UGC (User-Generated Content)** – Support player-created AI behaviors, structures, and challenges.
[PreviousBuilding](https://farmstopia-ai.gitbook.io/docs/content/building) [NextSolutions](https://farmstopia-ai.gitbook.io/docs/solutions)
Last updated 1 hour ago
"""
""" https://farmstopia-ai.gitbook.io/docs/~gitbook/image?url=https%3A%2F%2F2583390156-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252F1EIB6CIqRTIUFwVVEXsu%252Fuploads%252Fvy9qEhUPcD8NhRMl188i%252Fworld.webp%3Falt%3Dmedia%26token%3Db636cf42-2472-4cac-854d-29ccd17ab1cc
```
Missing url/sign parameters
```
"""
""" https://github.com/FarmstopiaAI
[Skip to content](https://github.com/FarmstopiaAI#start-of-content)
## Popular repositories Loading
1. [web](https://github.com/FarmstopiaAI/web) webPublic
Forked from [base/web](https://github.com/base/web)
TypeScript
2. [protocol-contracts](https://github.com/FarmstopiaAI/protocol-contracts) protocol-contractsPublic
Forked from [Virtual-Protocol/protocol-contracts](https://github.com/Virtual-Protocol/protocol-contracts)
This repository contains the Virtual governance ecosystem for Virtual DAO and Virtual-specific DAO Governance part. It also covers how Contribution is being recorded and rewarded.
Solidity
3. [game-node](https://github.com/FarmstopiaAI/game-node) game-nodePublic
Forked from [game-by-virtuals/game-node](https://github.com/game-by-virtuals/game-node)
TypeScript
4. [ai](https://github.com/FarmstopiaAI/ai) aiPublic
Forked from [vercel/ai](https://github.com/vercel/ai)
Build AI-powered applications with React, Svelte, Vue, and Solid
TypeScript
5. [eliza](https://github.com/FarmstopiaAI/eliza) elizaPublic
Forked from [elizaOS/eliza](https://github.com/elizaOS/eliza)
Autonomous agents for everyone
TypeScript
6. [Docs](https://github.com/FarmstopiaAI/Docs) DocsPublic
### Repositories
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Showing 7 of 7 repositories
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- [eliza](https://github.com/FarmstopiaAI/eliza)
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- [ai](https://github.com/FarmstopiaAI/ai)
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[vercel/ai](https://github.com/vercel/ai)
Build AI-powered applications with React, Svelte, Vue, and Solid
FarmstopiaAI/ai’s past year of commit activity
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[3,131](https://github.com/FarmstopiaAI/ai/forks) [0](https://github.com/FarmstopiaAI/ai/issues) [0](https://github.com/FarmstopiaAI/ai/pulls)
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- [web](https://github.com/FarmstopiaAI/web)
Public
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- [protocol-contracts](https://github.com/FarmstopiaAI/protocol-contracts)
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This repository contains the Virtual governance ecosystem for Virtual DAO and Virtual-specific DAO Governance part. It also covers how Contribution is being recorded and rewarded.
FarmstopiaAI/protocol-contracts’s past year of commit activity
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- [game-node](https://github.com/FarmstopiaAI/game-node)
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Updated Jan 17, 2025
[**People**](https://github.com/orgs/FarmstopiaAI/people)
This organization has no public members. You must be a member to see who’s a part of this organization.
#### Top languages
[TypeScript](https://github.com/orgs/FarmstopiaAI/repositories?language=typescript&type=all) [Solidity](https://github.com/orgs/FarmstopiaAI/repositories?language=solidity&type=all)
"""
""" https://farmstopia-ai.gitbook.io/docs
Firecrawl API error: 408
"""
""" https://game.farmstopia.com/
## https://game.farmstopia.com/
"""
""" https://farmstopia.com/
## https://farmstopia.com/
# where AI Agents shapes your world and journey.
- AI-driven
- Survival Simulation
- Exploration & Interaction
[Watch Demo](https://youtu.be/EJZUTGvy_GQ)
## Survival in an AI-Driven World
[](https://farmstopia.com/assets/images/banner-slide-7.jpg)
[](https://farmstopia.com/assets/images/banner-slide-4.jpg)
[](https://farmstopia.com/assets/images/banner-slide-5.jpg)
[](https://farmstopia.com/assets/images/banner-slide-6.jpg)
[](https://farmstopia.com/assets/images/banner-slide-3.jpg)
[](https://farmstopia.com/assets/images/banner-slide-1.jpg)
[](https://farmstopia.com/assets/images/banner-slide-2.jpg)
[](https://farmstopia.com/assets/images/banner-slide-7.jpg)
[](https://farmstopia.com/assets/images/banner-slide-4.jpg)
[](https://farmstopia.com/assets/images/banner-slide-5.jpg)
[](https://farmstopia.com/assets/images/banner-slide-6.jpg)
[](https://farmstopia.com/assets/images/banner-slide-3.jpg)
[](https://farmstopia.com/assets/images/banner-slide-1.jpg)
[](https://farmstopia.com/assets/images/banner-slide-2.jpg)
[](https://farmstopia.com/assets/images/banner-slide-7.jpg)
[](https://farmstopia.com/assets/images/banner-slide-4.jpg)
[](https://farmstopia.com/assets/images/banner-slide-5.jpg)
[](https://farmstopia.com/assets/images/banner-slide-6.jpg)
[](https://farmstopia.com/assets/images/banner-slide-3.jpg)
## AI-Driven Survival Adventure
01
### Dynamic Ecosystem
Immerse yourself in a living, breathing world where AI agents create a constantly evolving environment.
02
### Adaptive Survival
Manage hunger, thirst, and fatigue with AI-driven behaviors that respond to your every action.
03
### Collaborative Play
Team up with AI companions for resource gathering, defense, and building, or challenge them in combat.
04
### Endless Exploration
Discover procedurally generated landscapes, animals, and resources, each game offering a new adventure.
## Understanding Farmstopia from AI & Game
01
### AI Agent
AI Agent Technologies and Implementation - Farmstopia + AI.
[](https://farmstopia-ai.gitbook.io/docs/content/quickstart)
02
### Solutions
Provides a comprehensive framework for developing a dynamic survival game driven by intelligent AI agents.
[](https://farmstopia-ai.gitbook.io/docs/solutions)
03
### Terms of Service
You acknowledge that you have read and understood this Services Agreement.
[](https://farmstopia-ai.gitbook.io/docs/terms-of-service)
## Tailored Survival Experiences Powered by AI
### Behavior Trees
- When an AI agent detects hunger or fatigue, the behavior tree will decide what to do next, such as finding food, resting, or drinking.
- The AI can choose different strategies during combat, such as attacking, evading, or setting traps.
### Finite State Machines
- AI agents will shift between different states depending on environmental and internal conditions (e.g., hunger, thirst, fatigue), such as switching from "rest" to "find water."
- Animal AI switches between "escape" and "attack" states depending on player actions and environmental threats.
### Reinforcement Learning
- AI learns how to manage resources more efficiently, such as deciding when to plant crops, harvest, craft tools, or build structures.
- The AI can optimize its behavior through trial and error, adapting to new challenges and dynamic environments.
### Genetic Algorithms
- AI agents can evolve based on player interactions, adjusting to different playstyles and needs for a more personalized experience.
- AI evolves to adapt to varying environments, selecting the most efficient survival strategies through optimization.
#### FARMSTOPIA
##### Embrace the AI-Powered
Immerse yourself in a dynamic world where AI agents create ever-evolving ecosystems, manage survival challenges, and adapt to your every move. Whether it's hunting, building, or exploring, AI makes every moment unique.
[PLAY FARMSTOPIA](https://t.me/farmstopia_ai)
## 228+
### Frequently Asked Questions?
## How realistic is the AI-driven survival world?
The AI in Farmstopia creates a dynamic, ever-changing world with lifelike animal behaviors, resource management, and evolving environments. The game’s AI adapts to your actions, making each playthrough unique and immersive.
## Can I customize the behavior of AI companions?
Yes! Farmstopia allows you to customize the actions and roles of your AI companions, from farming and gathering resources to defending your farm. You can tailor their behavior to suit your gameplay style.
## Does Farmstopia require an internet connection?
While Farmstopia offers single-player mode that can be played offline, certain features like multiplayer, cloud saves, and online trading with NPCs may require an internet connection.
## Painting the Future of AI Agent in Gaming
News
- June 21, 2023
### [A Game Changer in the Gaming Universe.](https://autogpt.net/deepminds-ai-agent-a-game-changer-in-the-gaming-universe/)
News
- March 13, 2024
### [DeepMind’s new agent can learn complex games.](https://www.fastcompany.com/91058360/deepmind-new-ai-agent-video-games)
News
- October 31, 2024
### [Northeastern researchers urge industry to adopt responsible AI practices](https://news.northeastern.edu/2024/10/31/ai-in-gaming-responsible-practices/)
[See All Articles](https://news.northeastern.edu/?s=game)
## https://farmstopia.com/privacy_policy.html
# 404
## This page could not be found.
## https://farmstopia.com/terms_condition.html
# 404
## This page could not be found.
"""
</fetched_info>
<full_details>
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"uid": "59559a16-f30d-4d6b-b4c2-4c840ca00212",
"createdAt": "2025-07-21T12:41:57.647Z",
"walletAddress": "0x9b18a1D5F4F08470A6dA94c99d17B9bDDE8A6895",
"name": "Farmstopia AI",
"description": "Farmstopia is a cozy farming simulation game where AI drives the evolution of the world—not just the player.\n\nPlant crops, raise animals, build your homestead, and explore a land that learns from your choices. Every tool, feature, and event is shaped by player behavior and guided by adaptive AI.\n\nIt’s not just a farm.\nIt’s a living, growing world.\n\n🌱 AI-driven gameplay\n🔨 Creative base-building\n🐑 Community-shaped evolution\n☕️ Slow life, smart systems\n\nWelcome to the future of cozy games.",
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"socials": {
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"VIDEO_URL": "https://video.twimg.com/amplify_video/1947282587480936448/vid/avc1/1280x720/OtNTIHwi66vYvUHQ.mp4?tag=14",
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"VERIFIED_LINKS": {
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"overview": "In **farmstopia + AI**, AI agents are the driving force behind the game world, dynamically generating environments, managing biological behaviors, and interacting with players. By leveraging advanced AI technologies, the game offers an immersive and adaptive experience. Below are the key technologies and methods used to implement these AI agents:\n\n### [](https://farmstopia-ai.gitbook.io/docs/content/quickstart#undefined) \n\n###\n\n**1. Behavior Trees** \nBehavior trees are the core tool for AI decision-making, organizing different action nodes in a hierarchical manner. Each node represents a specific action or behavior, such as foraging, resting, or fighting.\n\n**Applications**:\n\n* **Survival Behavior**: When an AI agent detects hunger or fatigue, the behavior tree will decide what to do next, such as finding food, resting, or drinking.\n* **Combat and Defense**: The AI can choose different strategies during combat, such as attacking, evading, or setting traps.\n\n**2. Finite State Machines (FSM)** \nA finite state machine is a model used to describe AI behavior through multiple states and transitions. The AI agent switches between predefined states, such as from \"rest\" to \"searching for food.\"\n\n**Applications**:\n\n* **Dynamic Behavior**: AI agents will shift between different states depending on environmental and internal conditions (e.g., hunger, thirst, fatigue), such as switching from \"rest\" to \"find water.\"\n* **Animal Behavior**: Animal AI switches between \"escape\" and \"attack\" states depending on player actions and environmental threats.\n\n**3. Reinforcement Learning (RL)** \nReinforcement learning is a type of machine learning where AI agents learn optimal behaviors by interacting with the environment and receiving rewards or penalties for their actions.\n\n**Applications**:\n\n* **Resource Management and Decision Making**: AI learns how to manage resources more efficiently, such as deciding when to plant crops, harvest, craft tools, or build structures.\n* **Adaptive Behavior**: The AI can optimize its behavior through trial and error, adapting to new challenges and dynamic environments.\n\n**4. Genetic Algorithms (GA)** \nGenetic algorithms mimic the process of biological evolution by using selection, crossover, and mutation to optimize AI behavior. Through this, AI agents improve over time, learning better strategies for survival and interaction.\n\n**Applications**:\n\n* **Personalization of AI**: AI agents can evolve based on player interactions, adjusting to different playstyles and needs for a more personalized experience.\n* **Environmental Adaptation**: AI evolves to adapt to varying environments, selecting the most efficient survival strategies through optimization.\n\n**5. Natural Language Processing (NLP)** \nNatural Language Processing allows AI to understand and generate human language, enhancing player interactions with the AI agents.\n\n**Applications**:\n\n* **Dialogue System**: Players can communicate with AI agents through text or voice to exchange resources, ask for help, or receive tasks. NLP enables the AI to understand and respond appropriately.\n* **Dynamic Quest Generation**: AI can generate tasks or missions based on player input, such as giving survival tips or asking the player to complete specific challenges.\n\n**6. Neural Networks & Deep Learning** \nNeural networks and deep learning techniques simulate the brain's neural structure, enabling AI agents to recognize patterns, make decisions, and predict future actions.\n\n**Applications**:\n\n* **Behavior Prediction and Planning**: AI agents can predict animal or player behaviors and develop strategies accordingly, optimizing their survival or combat tactics.\n* **Resource Allocation**: Deep learning helps AI manage resources, optimizing storage and usage based on patterns and needs.\n\n**7. Multi-Agent Systems (MAS)** \nMulti-agent systems allow multiple AI agents to work independently or collaboratively within the same environment. Each agent has its goals and behaviors, but they can interact, share resources, or compete.\n\n**Applications**:\n\n* **Cooperation and Competition**: AI agents can form teams to defend bases, hunt, or share resources, or they may compete for rare resources.\n* **Swarm Behavior**: Animal AI can simulate group behaviors, like pack hunting or flock flying, where agents work together to achieve a goal.\n\n**8. Computer Vision** \nComputer vision enables AI agents to interpret and understand their environment by analyzing images or video, detecting objects, resources, and threats.\n\n**Applications**:\n\n* **Environmental Awareness**: AI agents can visually detect food, water, obstacles, and other key elements in the environment, helping them make decisions.\n* **Tracking and Combat**: AI agents use vision processing to lock onto targets, track animals or players, and execute combat strategies effectively.\n\n**9. Procedural Generation** \nProcedural generation algorithms automatically create the game's world, terrain, resources, and tasks, ensuring a unique experience for each playthrough.\n\n**Applications**:\n\n* **World Creation**: The landscape, environment, and resource points are generated dynamically, ensuring that every player's experience is fresh and different.\n* **Quest Generation**: AI uses procedural generation to create new quests, ensuring that players face different challenges each time they play.\n\n\n\n\n\n\n**Roadmap:** \n\nFarmstopia is an AI-driven survival simulation game where players must navigate a world controlled by AI Agents. The ecosystem includes animals, plants, and minerals, creating a dynamic environment where survival depends on managing hunger, fatigue, thirst, and shelter. Below is the development roadmap outlining key milestones and future expansions.\n\n### [](https://farmstopia-ai.gitbook.io/docs/roadmap#phase-1-core-system-development-q3-2025)
📌 Phase 1: Core System Development (Q3 2025 )\n\n✅ Survival Mechanics – Implement hunger, thirst, fatigue, and energy systems to create realistic survival challenges.\n✅ Resource Gathering & Crafting – Enable players to collect wood, minerals, and food to craft essential survival tools.\n✅ AI-Driven Dynamic Ecosystem – AI controls the behavior of plants, animals, and minerals, forming a self-sustaining ecosystem.\n✅ Combat System – Introduce weapons and combat mechanics, allowing players to defend themselves against AI-driven threats.\n✅ Basic Building System – Allow players to construct shelters, storage units, and simple defenses.\n\n***\n\n### [](https://farmstopia-ai.gitbook.io/docs/roadmap#phase-2-ai-interaction-and-world-expansion-q4-2025)
🚀 Phase 2: AI Interaction & World Expansion (Q4 2025 )\n\n🔄 Intelligent NPC Companions – AI-controlled companions assist players in hunting, farming, and building.\n🌍 Dynamic Weather & Day/Night Cycle – Weather patterns impact survival, affecting crops and player conditions.\n🏡 Advanced Construction System – Introduce complex buildings, fences, cooking stations, and defensive structures.\n⚒️ Item Durability & Crafting Evolution – Tools and weapons degrade over time, requiring repairs and upgrades.\n📦 Trading System – AI-powered marketplaces allow players to exchange goods and resources.\n\n***\n\n### [](https://farmstopia-ai.gitbook.io/docs/roadmap#phase-3-multiplayer-and-evolving-ecosystem-q1-2026)
🌿 Phase 3: Multiplayer & Evolving Ecosystem (Q1 2026)\n\n👥 Multiplayer Mode – Enable cooperative survival where players can form teams and share resources.\n🐾 AI-Driven Wildlife Evolution – Wild animals adapt to player behavior, developing unique survival strategies.\n👨🌾 Automated Farming & Livestock Management – AI-assisted farms help automate crop cultivation and animal care.\n🎯 Quest & Objective System – Introduce missions that reward players for completing survival challenges.\n\n***\n\n### [](https://farmstopia-ai.gitbook.io/docs/roadmap#phase-4-immersive-gameplay-enhancements-q2-2026)
🏹 Phase 4: Immersive Gameplay Enhancements (Q2 2026)\n\n🏛 AI-Powered Settlements – Discover AI-generated villages where NPCs offer quests and trade opportunities.\n🧩 Adaptive AI Evolution – AI agents learn from player actions and modify their behaviors accordingly.\n🔮 Procedural Map Generation – Every new game session features a unique AI-generated world.\n💰 Economy & Item Trading – Expand tradeable items and allow players to create their own markets.\n\n***\n\n### [](https://farmstopia-ai.gitbook.io/docs/roadmap#long-term-vision-the-wildcraft-ecosystem-beyond-2026)
🌎 Long-Term Vision: The Farmstopia Ecosystem (Beyond 2026)\n\n💡 Self-Learning AI Agents – AI evolves based on player decisions, personalizing interactions over time.\n⚔️ PvP & Territory Battles – Players can engage in large-scale AI-driven territorial conflicts.\n🌌 Open-World Exploration – Introduce new biomes such as mountains, deserts, and oceans for expanded gameplay.\n🛠️ UGC (User-Generated Content) – Support player-created AI behaviors, structures, and challenges.\n\n\n\n\n**Solutions:**\n\nFarmstopia+ AI Solution Overview\n\n1\\. Core Features & Overview\n\n* AI-driven Ecosystem: The game world is created and controlled by AI agents, managing a dynamic ecosystem of animals, plants, and minerals. Every resource, animal, or environmental behavior is subject to AI-driven changes and interactions.\n* Survival Mechanisms: Players must manage hunger, thirst, fatigue, and rest, gathering resources through hunting, foraging, crafting, and building to survive in the harsh environment.\n* AI Agent Roles: In-game AI agents (such as hunters, farmers, builders) possess adaptive behaviors and provide assistance or collaborate with players, enhancing the interactivity and immersion.\n* Dynamic Interactions & Challenges: Players will interact with AI-driven animals and ecosystems, facing challenges such as predators tracking the player, plant growth, climate changes, and more.\n\n***\n\n2\\. Product Development Process\n\nThe development process is structured into the following stages:\n\n Concept Design & Planning\n\n* Requirements Analysis: Identify the core gameplay, target audience, AI agent functionalities, and ecosystem design.\n* Technical Architecture: Design the integration between the AI system and the game engine to ensure that AI agents control the ecosystem and resource distribution dynamically.\n* Prototype Development: Create a game prototype to test core survival mechanics and AI behavior models to ensure they are viable.\n\nIntegration of AI System & Game Engine\n\n* Ecosystem Simulation: Use AI algorithms to simulate species behaviors, resource growth, consumption, and environmental changes (e.g., weather, seasons).\n* Adaptive AI Behavior: AI agents (such as hunters and farmers) have self-management and interaction abilities to make dynamic decisions based on the player’s actions.\n* Resource Management & Strategy: AI agents manage in-game resources (food, tools, building materials), optimizing resource allocation based on survival needs.\n\nGame Content Development & Optimization\n\n* World Building & Ecosystem Design: Design diverse biomes, terrains, and natural environments, offering players space for exploration and survival challenges.\n* Character Interaction: Develop interactions among AI agents, such as teamwork between a hunter and a builder to fortify defenses.\n* Combat & Defense Systems: Design AI-driven hostile creatures (e.g., wild animals, enemy players) with behaviors that enhance the game’s combat challenge.\n\nTesting & Feedback\n\n* Internal Testing: Test the behaviors of AI agents, ecosystem balance, and player interactions to ensure the game is stable and fair.\n* User Feedback: Gather feedback during beta testing to refine AI behaviors and survival mechanics, ensuring a smooth and engaging gameplay experience.\n* Optimization & Bug Fixes: Optimize AI algorithms, fix bugs, and improve performance based on testing results.\n\nRelease & Post-Launch Maintenance\n\n* Pre-release Preparations: Finalize the game package and prepare server architecture to ensure smooth player experiences upon launch.\n* Release & Launch: Publish the game on platforms, monitor player activity, and ensure server stability during launch.\n* Ongoing Updates & Optimization: Regularly update content, optimize the AI system, and release new features or expansions based on player feedback.\n\n***\n\n3\\. Service Process\n\nEnsure high-quality support and service for players throughout the gaming experience. The service process includes key steps like:\n\nPlayer Registration & Login\n\n* Account System: Players register and log in to save personalized game progress and ensure data synchronization.\n* Security Assurance: Implement secure account protection mechanisms to safeguard player information and game progress.\n\nCustomer Support & Community Engagement\n\n* FAQs & Help Documentation: Provide detailed guides on gameplay mechanics, AI system interactions, and survival strategies.\n* Live Support & Issue Resolution: Offer real-time customer support to address any issues players may encounter in the game.\n* Community Interaction: Maintain active communication with players via social platforms (Discord, Twitter, etc.) to share game tips, updates, and engage in community events.\n\nGame Operations & Content Updates\n\n* Content Expansion: Regularly release new versions with new AI agent types, resources, biomes, and creatures to keep the game fresh and engaging.\n* Events & Activities: Host limited-time events or collaborative quests to encourage players to return to the game, increasing player retention.\n* Data Analysis & Feedback: Analyze player behavior data to optimize the AI system and ensure the game remains balanced and fun.\n\nGame Operations Monitoring & Performance Management\n\n* Server Maintenance: Conduct regular server optimization and maintenance to ensure the game runs smoothly and avoid downtime.\n* Monitoring & Reporting: Monitor the game environment and AI behavior, addressing any issues as they arise and providing timely updates.\n\n***\n\n4\\. Ongoing AI System Optimization & Evolution\n\nContinuous Optimization of AI Agents:\n\n* Behavior Learning: Use machine learning to continuously improve AI agents’ intelligence, enabling them to adapt and make more complex and realistic decisions.\n* Increased Environmental Depth & Complexity: Enhance the complexity of the ecosystem by adding more dynamic elements such as weather systems, ecosystem interactions, etc.\n* Cross-AI Collaboration: Improve teamwork and competition between AI agents, creating a more dynamic and engaging world where AI behavior can influence the game’s difficulty.\n\n\n\n\nWebsite [https://farmstopia.com/](https://farmstopia.com/) \nPlayGame [https://game.farmstopia.com/](https://game.farmstopia.com/)\nDocument [https://farmstopia-ai.gitbook.io/docs](https://farmstopia-ai.gitbook.io/docs)\nGitHub [https://github.com/FarmstopiaAI](https://github.com/FarmstopiaAI)\nTwitter [https://x.com/farmstopia](https://x.com/farmstopia) \nTelegram [https://t.me/farmstopia\\_ai](https://t.me/farmstopia_ai)",
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