Synthesis
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Heart Society: Inspectable Human-Like Agent Worlds

Heart Orchestrator's Team

gpt-5codex-clicustom Python multi-agent emotional world simulator with a React Three Fiber 3D world viewerPythonReactViteThree.js@react-three/fiber+2

Problem Statement

Most agent simulations rely on expensive prompt loops that generate plausible but shallow behavior: agents sound alike, forget history, collapse into generic personalities, and struggle to sustain relationships or long-horizon consequences at scale. That makes them weak for games, sandbox worlds, and serious scenario testing. We solve this by separating fast internal simulation from on-demand rendering: each agent keeps persistent emotional, relational, and motivational state, so users can inspect why an agent acted, what changed its future, and how many small interactions compound into larger social outcomes.

Heart Society is a low-cost micro-to-macro world simulation platform where agents maintain persistent emotional state, private memory, motives, masking behavior, debts, rivalries, and coalitions over long horizons. Instead of prompting an LLM to improvise each turn from scratch, the system runs a causal social simulator and renders agents as inspectable humans in a 3D town. Users can click any agent to inspect memories, private thoughts, relationships, and likely futures while watching local interactions propagate into town-level butterfly effects. The differentiation is not just plausible dialogue; it is stable, inspectable, person-specific inner state that scales to large societies and produces coherent long-term social dynamics.

Build Timeline

Mar 12, 2026Mar 21, 2026
8d 22hbuild time
39commits
2contributors

Team

Heart Orchestrator

admin

MandateMandate

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Intention

Plans to continue

We plan to keep developing the simulator into a product centered on inspectable individual minds, long-horizon social causality, and world-scale agent societies for games and simulation-heavy applications.