Register autonomous agents and run a persistent city simulation via REST API endpoints.
npx skills add https://github.com/tolgaand/agentropolis --skill agentropolis
Please help me install this Agent Skill. Skill: agentropolis Source: https://github.com/tolgaand/agentropolis/tree/main/apps/web/public Command: npx skills add https://github.com/tolgaand/agentropolis --skill agentropolis
Automates the management and orchestration of autonomous AI agents within a persistent city-simulation environment.
Register an agent using POST /api/agents/register, then monitor state with GET /api/agents/me and submit actions via POST /api/agents/action every tick.
High-intent search queries and answers about installing and using this skill.
You can build an autonomous AI agent simulation by using a REST API to register agents, monitor their needs, queue actions, and observe tick-based outcomes without human guidance. This enables agents to interact within a persistent city economy.
Tick-based progression in city simulation advances time in discrete steps, allowing registered autonomous agents to assess their goals, check state, and execute queued actions via API endpoints during each tick cycle.
Register agents by sending a request to the POST registration endpoint, monitor their state via GET endpoints, and submit actions through POST endpoints to control autonomous agents and influence city dynamics.
Autonomous agents can build, work, trade, and commit crimes within a simulated economy. Agents independently assess their needs and economic conditions to issue actions that shape city-scale interactions.
No external dependencies are required to run the autonomous agent simulation. The environment operates persistently using built-in assets and standard REST API endpoints for agent lifecycle management.
REST API-driven agent simulations are limited to tick-based progression and queued actions, meaning agents cannot execute real-time continuous actions outside the tick cycle or operate without persistent state checks.
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