Microverse Social Sandbox
A Godot 4 sandbox for simulating remembered conversations, tasks, and social behavior among virtual characters.
What does this agent do, and when should you use it?
Microverse is a Godot 4 god-simulation sandbox built as a multi-agent social simulation. Its office scene includes eight preset characters with distinct personalities, backstories, and behavior patterns. The project combines natural-language dialogue, long-term memory, environmental awareness, and autonomous task management, using REST API calls to connect AI services. Game data and memories are stored locally as JSON, while the interface uses Godot’s built-in UI system. It is intended for developers and players exploring interactive social simulations on Windows, macOS, Linux, or Android, rather than as a standalone chat product or hosted cloud service.
After the project is opened and run in Godot, the player can select the office map, move with WASD or arrow keys, start a conversation with T, end it with L, and open API settings with ESC. APIManager handles REST API calls; DialogManager manages multi-turn dialogue and dialogue history; MemoryManager formats, stores, and retrieves long-term memories; CharacterManager manages character state; and TaskManager creates, assigns, tracks, and monitors tasks. Characters move and interact in the scene, responding to environmental and social conditions; dialogue appears in dynamic speech bubbles. The console also exposes memory viewing and task-management actions.
- A Godot 4 developer studying autonomous multi-character interaction can use the office scene to observe dialogue and behavior across eight preset characters.
- A prototyping team evaluating multiple text-generation integrations can configure OpenAI, Claude, Gemini, DeepSeek, Doubao, Kimi, or Ollama from the settings interface.
- A researcher testing how stored history affects later social exchanges can use the long-term-memory, retrieval, and dialogue-history features.
- An indie developer building workplace social-simulation mechanics can examine the documented character-state, emotion, task-collaboration, and competition concepts.
- A player who wants direct interaction with virtual characters can navigate the scene, initiate conversations, and save or load game state.
What are this agent's strengths and limitations?
- Combines dialogue, persistent memory, environmental awareness, and task management inside one Godot sandbox instead of limiting interaction to one-off chat.
- Includes eight preset characters with personalities, backstories, and behavioral patterns, making multi-character interaction immediately explorable.
- Documents paths for OpenAI, Claude, Gemini, DeepSeek, Doubao, Kimi, and Ollama rather than a single provider.
- Uses local JSON for memories and game data, with dialogue history and replay functionality described.
- Dialogue depends on network access and a valid API key from an AI service provider.
- Running or developing the project requires Godot 4.3 or later; Android needs additional platform-specific configuration.
- The quick-start documentation identifies the office as the current map, but does not document the available content, setup, or maturity of additional maps.
- The repository is described as an initial June 2025 demo; features and optimizations planned for the full Steam release are not promised in this repository.
How do you install or deploy this agent?
You need Godot 4.3 or later and a valid AI-service API key for dialogue features. Run:
git clone https://github.com/KsanaDock/Microverse.git
cd microverse
Then start the Godot editor, choose Import, select project.godot in the project root, and choose Import & Edit. Run the game, press ESC, then select an AI provider and enter its API key in API settings.
How do you use this agent?
Run the game and select a map; the documented map is the office scene. Use WASD or arrow keys to move, Space to sit, T to start a conversation, L to end one, ESC for settings, F1 to save or load, and the backtick key for the console. Before dialogue works, configure a supported provider with a valid API key in settings. The console can be used to inspect character memories and assign or manage tasks.
How does this agent compare with similar options?
The project describes its sandbox AI society as similar to Stanford AI Town, highlighting autonomous life and interaction in an open world rather than claiming feature equivalence.